100+ datasets found
  1. e

    Risk Analysis - impact-factor

    • exaly.com
    csv, json
    Updated Sep 29, 2025
    + more versions
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    (2025). Risk Analysis - impact-factor [Dataset]. https://exaly.com/journal/14920/risk-analysis
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    csv, jsonAvailable download formats
    Dataset updated
    Sep 29, 2025
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

  2. e

    Journal of Risk Analysis and Crisis Response (JRACR) - impact-factor

    • exaly.com
    csv, json
    Updated Oct 8, 2025
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    (2025). Journal of Risk Analysis and Crisis Response (JRACR) - impact-factor [Dataset]. https://exaly.com/journal/47242/journal-of-risk-analysis-and-crisis-response-jracr
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    csv, jsonAvailable download formats
    Dataset updated
    Oct 8, 2025
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

  3. e

    International Journal of Risk Assessment and Management - impact-factor

    • exaly.com
    csv, json
    Updated Oct 8, 2025
    + more versions
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    (2025). International Journal of Risk Assessment and Management - impact-factor [Dataset]. https://exaly.com/journal/27114/international-journal-of-risk-assessment-and-management
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 8, 2025
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

  4. e

    Stochastic Environmental Research and Risk Assessment - impact-factor

    • exaly.com
    csv, json
    Updated Sep 29, 2025
    + more versions
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    (2025). Stochastic Environmental Research and Risk Assessment - impact-factor [Dataset]. https://exaly.com/journal/18394/stochastic-environmental-research-and-risk-assessment
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    csv, jsonAvailable download formats
    Dataset updated
    Sep 29, 2025
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

  5. D

    Risk Analysis Management Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Risk Analysis Management Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-risk-analysis-management-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Risk Analysis Management Market Outlook



    The risk analysis management market size is expected to experience significant growth, with global figures projected to rise from USD 15.3 billion in 2023 to USD 28.6 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 7.2% over the forecast period. This market is primarily driven by the increasing necessity for robust risk management frameworks across various industry verticals, which are crucial for effective decision-making and strategic planning in today's dynamic business environment. The increasing adoption of digital transformation strategies and the growing complexity of business operations have necessitated the implementation of comprehensive risk management solutions, which further propels the market growth.



    Several growth factors contribute to the expansion of the risk analysis management market. Firstly, the increasing frequency and sophistication of cyber threats have made risk management a strategic priority for organizations worldwide. As businesses become more digitalized, their exposure to cyber risks rises, necessitating advanced risk analysis tools and solutions to protect sensitive data and maintain business continuity. Moreover, regulatory compliance requirements are becoming more stringent, compelling organizations to adopt risk management frameworks to mitigate compliance-related risks. This regulatory pressure is particularly significant in highly-regulated industries such as finance, healthcare, and manufacturing, thereby driving market growth.



    Another pivotal growth factor is the rise in operational risks due to globalization and the interconnected nature of modern business ecosystems. Organizations are facing challenges such as supply chain disruptions, economic fluctuations, and geopolitical tensions, which require comprehensive risk analysis to anticipate and mitigate potential impacts. The COVID-19 pandemic has further accelerated the demand for risk analysis management solutions as companies strive to enhance their resilience against unforeseen disruptions. Additionally, businesses are increasingly recognizing the strategic value of risk management in achieving competitive advantage and optimizing resource allocation, which fuels the demand for these solutions.



    Technological advancements are also a significant catalyst in the growth of the risk analysis management market. The integration of artificial intelligence (AI), machine learning (ML), and big data analytics into risk management processes has enabled organizations to gain deeper insights into potential risks and implement predictive risk mitigation strategies. These technologies facilitate real-time risk assessment, enhance decision-making accuracy, and improve the efficiency of risk management operations. The shift towards cloud-based solutions has further made risk management tools more accessible and scalable, particularly for small and medium enterprises, thereby expanding the market reach.



    In the context of increasing globalization and interconnected business networks, Third-Party Risk Management has emerged as a critical component of comprehensive risk management strategies. Organizations are increasingly reliant on third-party vendors and partners to enhance their operational capabilities and expand their market reach. However, this reliance also introduces a myriad of risks, including data breaches, compliance violations, and operational disruptions. As a result, businesses are prioritizing the implementation of robust third-party risk management frameworks to assess, monitor, and mitigate risks associated with their external partnerships. This proactive approach not only safeguards organizational assets but also ensures compliance with regulatory standards, thereby enhancing overall business resilience.



    Regionally, North America holds a dominant position in the risk analysis management market, driven by the presence of major market players and the high adoption rate of advanced technologies in the region. The United States, in particular, leads the market due to its strong economic landscape and stringent regulatory environment. Meanwhile, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, with a CAGR of 8.5%. This growth is attributed to the increasing awareness of risk management practices across emerging economies such as China and India, coupled with the rapid digital transformation occurring in the region. Europe also plays a critical role in the market, with a robust focus on compliance and operational ri

  6. r

    Environmental analysis health and toxicology Impact Factor 2024-2025 -...

    • researchhelpdesk.org
    Updated Feb 19, 2022
    + more versions
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    Research Help Desk (2022). Environmental analysis health and toxicology Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/410/environmental-analysis-health-and-toxicology
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    Dataset updated
    Feb 19, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Environmental analysis health and toxicology Impact Factor 2024-2025 - ResearchHelpDesk - Environmental Analysis Health and Toxicology (EAHT) is open access, peer-reviewed, online journal that receives manuscripts on the fields of research, policy, and teaching of environmental analysis health and toxicology. The journal is published online and includes original articles, reviews, meeting reports, brief reports, case reports, investigation reports, special topics, editorials, and letters. EAHT is formerly known as Environmental Health and Toxicology (2011-2019) and Korean Journal of Environmental Toxicology (1986-2010) and has a 34-year history of publication in the field of environmental analysis, health, and toxicology with the peer-review process. EAHT is an official international journal of The Korean Society of Environmental Health and Toxicology/Korea Society for Environmental Analysis (KOSEHT) and the Korean Society for Environmental Analysis (KSFEA). It is also supported by the Korean Federation of Science and Technology Societies (KOFST) Grant funded by the Korean Government. EAHT has multidisciplinary areas of environmental analysis, health, and toxicology, including chemical and biological analysis of environmental contamination, ecotoxicology and risk assessment, environmental chemistry, human toxicology and risk assessment, environmental epidemiology, and environmental exposure assessment. EAHT considers manuscripts that have not been published previously (except as an abstract), and are not being considered for publication elsewhere. A paper presented at a scientific meeting may be considered if it has not been published in full in a proceeding or similar publication. Any closely related manuscript either published, in the press, or under review must be sent via e-mail to the journal office at the time of the submission to EAHT. This will allow for a full and fair evaluation of the independent contribution of the submitted paper.

  7. e

    International Journal of Risk Assessment and Management - if-computation

    • exaly.com
    csv, json
    Updated Sep 27, 2025
    + more versions
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    (2025). International Journal of Risk Assessment and Management - if-computation [Dataset]. https://exaly.com/journal/27114/international-journal-of-risk-assessment-and-management/impact-factor
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 27, 2025
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    This graph shows how the impact factor of ^ is computed. The left axis depicts the number of papers published in years X-1 and X-2, and the right axis displays their citations in year X.

  8. G

    Schedule Risk Analysis for Highway Projects Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 6, 2025
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    Growth Market Reports (2025). Schedule Risk Analysis for Highway Projects Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/schedule-risk-analysis-for-highway-projects-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 6, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Schedule Risk Analysis for Highway Projects Market Outlook



    According to our latest research, the global Schedule Risk Analysis for Highway Projects market size reached USD 1.21 billion in 2024, reflecting a robust demand for advanced risk management solutions in infrastructure development. The market is projected to grow at a CAGR of 10.3% during the forecast period, reaching USD 2.93 billion by 2033. The primary driver for this significant growth is the increasing complexity and scale of highway projects worldwide, which necessitates more sophisticated tools and methodologies to manage schedule uncertainties and mitigate costly delays.



    A key growth factor for the Schedule Risk Analysis for Highway Projects market is the escalating demand for infrastructure modernization and expansion across both developed and emerging economies. As governments and private stakeholders invest heavily in transportation networks to support economic growth and urbanization, the risk of schedule overruns becomes a critical concern. This has led to a surge in the adoption of schedule risk analysis tools that leverage advanced analytics, simulation, and predictive modeling to identify, assess, and manage potential risks throughout the project lifecycle. The integration of digital technologies, such as Building Information Modeling (BIM) and cloud-based project management platforms, further amplifies the effectiveness of risk analysis, enhancing real-time decision-making and proactive risk mitigation.



    Another pivotal driver is the growing regulatory emphasis on transparency, accountability, and risk management in public infrastructure projects. Regulatory bodies and funding agencies are increasingly mandating comprehensive risk assessments and schedule risk analysis as part of project approval and monitoring processes. This trend is particularly pronounced in large-scale highway projects, where delays can have substantial financial, operational, and social repercussions. The need to comply with stringent guidelines and reporting standards is compelling project owners, contractors, and consultants to invest in specialized software and consultancy services for schedule risk analysis. As a result, the market is witnessing a notable uptick in demand for both software solutions and expert advisory services tailored to the unique challenges of highway construction and maintenance.



    Technological innovation is also playing a transformative role in shaping the market landscape. The adoption of advanced methodologies such as Monte Carlo simulation, Critical Path Method (CPM), and integrated quantitative-qualitative analyses enables stakeholders to gain deeper insights into risk factors and their potential impacts on project schedules. The proliferation of artificial intelligence (AI) and machine learning (ML) in risk analytics is further enhancing the predictive accuracy and efficiency of schedule risk analysis. These technologies are empowering project teams to anticipate disruptions, optimize resource allocation, and develop robust contingency plans, thereby minimizing the likelihood and impact of schedule overruns. As digital transformation accelerates across the construction sector, the market for schedule risk analysis is poised for sustained expansion.



    From a regional perspective, North America currently leads the global market, accounting for approximately 36% of the total market share in 2024, driven by a high volume of highway infrastructure projects and early adoption of advanced risk management practices. Europe follows closely, benefiting from significant investments in cross-border transportation networks and stringent regulatory frameworks. The Asia Pacific region, however, is expected to register the fastest growth during the forecast period, with a projected CAGR of 12.1%, fueled by rapid urbanization, government initiatives for infrastructure development, and increasing participation of private sector players. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as they embark on ambitious highway modernization and expansion programs.





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  9. i

    Software Risk Analysis Market - Latest Advancement And Analysis

    • imrmarketreports.com
    Updated Mar 2024
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    Swati Kalagate; Akshay Patil; Vishal Kumbhar (2024). Software Risk Analysis Market - Latest Advancement And Analysis [Dataset]. https://www.imrmarketreports.com/reports/software-risk-analysis-market
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    Dataset updated
    Mar 2024
    Dataset provided by
    IMR Market Reports
    Authors
    Swati Kalagate; Akshay Patil; Vishal Kumbhar
    License

    https://www.imrmarketreports.com/privacy-policy/https://www.imrmarketreports.com/privacy-policy/

    Description

    Report of Software Risk Analysis Market is covering the summarized study of several factors encouraging the growth of the market such as market size, market type, major regions and end user applications. By using the report customer can recognize the several drivers that impact and govern the market. The report is describing the several types of Software Risk Analysis Industry. Factors that are playing the major role for growth of specific type of product category and factors that are motivating the status of the market.

  10. Risk Factors for Childhood Stunting in 137 Developing Countries: A...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated May 30, 2023
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    Goodarz Danaei; Kathryn G. Andrews; Christopher R. Sudfeld; Günther Fink; Dana Charles McCoy; Evan Peet; Ayesha Sania; Mary C. Smith Fawzi; Majid Ezzati; Wafaie W. Fawzi (2023). Risk Factors for Childhood Stunting in 137 Developing Countries: A Comparative Risk Assessment Analysis at Global, Regional, and Country Levels [Dataset]. http://doi.org/10.1371/journal.pmed.1002164
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    xlsxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Goodarz Danaei; Kathryn G. Andrews; Christopher R. Sudfeld; Günther Fink; Dana Charles McCoy; Evan Peet; Ayesha Sania; Mary C. Smith Fawzi; Majid Ezzati; Wafaie W. Fawzi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundStunting affects one-third of children under 5 y old in developing countries, and 14% of childhood deaths are attributable to it. A large number of risk factors for stunting have been identified in epidemiological studies. However, the relative contribution of these risk factors to stunting has not been examined across countries. We estimated the number of stunting cases among children aged 24–35 mo (i.e., at the end of the 1,000 days’ period of vulnerability) that are attributable to 18 risk factors in 137 developing countries.Methods and FindingsWe classified risk factors into five clusters: maternal nutrition and infection, teenage motherhood and short birth intervals, fetal growth restriction (FGR) and preterm birth, child nutrition and infection, and environmental factors. We combined published estimates and individual-level data from population-based surveys to derive risk factor prevalence in each country in 2010 and identified the most recent meta-analysis or conducted de novo reviews to derive effect sizes. We estimated the prevalence of stunting and the number of stunting cases that were attributable to each risk factor and cluster of risk factors by country and region.The leading risk worldwide was FGR, defined as being term and small for gestational age, and 10.8 million cases (95% CI 9.1 million–12.6 million) of stunting (out of 44.1 million) were attributable to it, followed by unimproved sanitation, with 7.2 million (95% CI 6.3 million–8.2 million), and diarrhea with 5.8 million (95% CI 2.4 million–9.2 million). FGR and preterm birth was the leading risk factor cluster in all regions. Environmental risks had the second largest estimated impact on stunting globally and in the South Asia, sub-Saharan Africa, and East Asia and Pacific regions, whereas child nutrition and infection was the second leading cluster of risk factors in other regions.Although extensive, our analysis is limited to risk factors for which effect sizes and country-level exposure data were available. The global nature of the study required approximations (e.g., using exposures estimated among women of reproductive age as a proxy for maternal exposures, or estimating the impact of risk factors on stunting through a mediator rather than directly on stunting). Finally, as is standard in global risk factor analyses, we used the effect size of risk factors on stunting from meta-analyses of epidemiological studies and assumed that proportional effects were fairly similar across countries.ConclusionsFGR and unimproved sanitation are the leading risk factors for stunting in developing countries. Reducing the burden of stunting requires a paradigm shift from interventions focusing solely on children and infants to those that reach mothers and families and improve their living environment and nutrition.

  11. D

    Risk Assessment Software Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Risk Assessment Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-risk-assessment-software-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Risk Assessment Software Market Outlook



    The global risk assessment software market size was valued at approximately USD 4.5 billion in 2023 and is projected to reach USD 11 billion by 2032, growing at a CAGR of 10.5% during the forecast period. The substantial growth in the market can be attributed to an increasing need for businesses across various sectors to manage risks proactively and ensure compliance with regulatory requirements.



    One of the primary growth factors for the risk assessment software market is the rising awareness among organizations about the importance of risk management. In today's volatile business environment, companies face numerous risks ranging from financial uncertainties to cybersecurity threats. Risk assessment software provides businesses with the tools to identify, evaluate, and mitigate these risks, thereby safeguarding their operations and assets. Furthermore, the integration of advanced technologies such as artificial intelligence and machine learning into risk assessment solutions is enhancing their accuracy and effectiveness, driving market growth.



    Another significant driver of the market is the stringent regulatory landscape across various industries. Regulatory bodies worldwide are increasingly enforcing compliance requirements, compelling organizations to adopt robust risk management practices. For instance, industries such as banking, healthcare, and manufacturing are subject to strict regulations regarding data security, operational risks, and environmental impact. Risk assessment software aids in ensuring compliance by providing comprehensive reports and analytics, thus avoiding potential legal penalties and financial losses.



    The surge in cyber threats and data breaches is also propelling the demand for risk assessment software. With the increasing digitalization of business processes, cyber risks have become a major concern for organizations. Risk assessment software helps in identifying vulnerabilities, assessing the potential impact of cyber threats, and implementing measures to mitigate them. This not only protects sensitive data but also enhances the overall security posture of the organization. Additionally, the growing adoption of cloud-based services is facilitating easier access to risk assessment tools, further bolstering market expansion.



    In the realm of logistics and supply chain management, Shipping Risk Management Software is becoming increasingly vital. This software aids organizations in identifying, assessing, and mitigating risks associated with shipping operations. With global trade expanding and supply chains becoming more complex, the potential for disruptions due to geopolitical tensions, natural disasters, or logistical failures is significant. Shipping Risk Management Software provides tools to analyze these risks, optimize shipping routes, and ensure compliance with international trade regulations. By leveraging such software, companies can enhance their operational resilience, reduce costs associated with shipping delays or damages, and maintain customer satisfaction by ensuring timely deliveries.



    Geographically, North America holds a significant share of the risk assessment software market, driven by the presence of major market players and the high adoption rate of advanced technologies. The region's strong regulatory framework and the emphasis on risk management practices across industries are also contributing to market growth. Europe follows closely, with a robust focus on compliance and data protection regulations. The Asia Pacific region is expected to witness the fastest growth during the forecast period, owing to the increasing awareness and adoption of risk management solutions among businesses in emerging economies.



    Component Analysis



    The risk assessment software market is segmented by component into software and services. The software segment dominates the market, accounting for a significant share due to the widespread adoption of risk assessment tools and platforms. These software solutions offer a wide range of functionalities, including risk identification, evaluation, monitoring, and reporting. With the integration of advanced technologies such as AI and blockchain, these tools are becoming increasingly sophisticated, providing more accurate and real-time insights into potential risks.



    Within the software segment, there are various types of risk assessment software, including enterprise risk managem

  12. m

    Dynamic Risk Assessment of Biomass Supply Chain in the USA

    • data.mendeley.com
    Updated Aug 19, 2022
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    Zaman Sajid (2022). Dynamic Risk Assessment of Biomass Supply Chain in the USA [Dataset]. http://doi.org/10.17632/6gpdzp8r3r.2
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    Dataset updated
    Aug 19, 2022
    Authors
    Zaman Sajid
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    This repository provides raw data on dynamic risk assessment of the biomass supply chain. This dataset shows how different risk factors impact the American biomass supply chain in the COVID-19 situation and beyond. Risk is quantified using a dynamic Bayesian Network approach. This dataset represents the outcomes of the expert elicitation process in the Bayesian Network analysis.

  13. e

    Human and Ecological Risk Assessment (HERA) - impact-factor

    • exaly.com
    csv, json
    Updated Oct 8, 2025
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    (2025). Human and Ecological Risk Assessment (HERA) - impact-factor [Dataset]. https://exaly.com/journal/16897/human-and-ecological-risk-assessment-hera
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 8, 2025
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

  14. D

    Schedule Risk Analysis For Highway Projects Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Schedule Risk Analysis For Highway Projects Market Research Report 2033 [Dataset]. https://dataintelo.com/report/schedule-risk-analysis-for-highway-projects-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Schedule Risk Analysis for Highway Projects Market Outlook



    According to our latest research, the global Schedule Risk Analysis for Highway Projects market size stood at USD 1.92 billion in 2024, with a robust year-on-year growth rate. The market is projected to expand at a CAGR of 10.7% during the forecast period, reaching an estimated USD 5.34 billion by 2033. This growth is primarily driven by the increasing complexity of highway infrastructure projects, stringent regulatory requirements, and the growing need for efficient project management tools that can mitigate risks related to schedule delays and cost overruns.




    One of the primary growth factors propelling the Schedule Risk Analysis for Highway Projects market is the rising global investment in transportation infrastructure. Governments and private entities are allocating substantial budgets to modernize and expand highway networks to accommodate increasing traffic and promote economic growth. As these projects become more complex, the risks associated with delays, resource allocation, and unforeseen events also escalate. This complexity necessitates advanced schedule risk analysis solutions that can provide predictive insights, optimize project timelines, and ultimately reduce the likelihood of costly overruns. The integration of digital technologies and data analytics into risk analysis processes further enhances the accuracy and reliability of these assessments, making them indispensable for large-scale highway projects.




    Another significant driver is the adoption of stringent regulatory frameworks and industry standards that mandate comprehensive risk management practices in infrastructure development. Regulatory bodies across regions such as North America, Europe, and Asia Pacific are increasingly emphasizing the need for proactive risk identification and mitigation strategies to ensure the timely and cost-effective completion of highway projects. This regulatory push has led to widespread adoption of schedule risk analysis methodologies, including both qualitative and quantitative approaches, across public and private sector stakeholders. Additionally, the growing awareness of the financial and reputational impact of project delays is compelling construction companies, consultants, and government agencies to invest in advanced risk analysis software and services.




    Technological advancements are also playing a crucial role in shaping the market landscape. The integration of artificial intelligence, machine learning, and big data analytics into schedule risk analysis tools has significantly improved their predictive capabilities and user-friendliness. These technologies enable stakeholders to simulate various risk scenarios, assess potential impacts, and devise effective mitigation strategies with greater precision. The proliferation of cloud-based solutions has further democratized access to sophisticated risk analysis tools, making them accessible to small and medium-sized enterprises as well as large organizations. As a result, the market is witnessing a surge in demand for both software and consulting services that cater to the diverse needs of highway project stakeholders.




    From a regional perspective, North America currently dominates the Schedule Risk Analysis for Highway Projects market, driven by extensive infrastructure investments and a mature regulatory environment. However, the Asia Pacific region is expected to witness the fastest growth over the forecast period, fueled by rapid urbanization, government-led infrastructure initiatives, and increasing adoption of digital project management solutions. Europe continues to maintain a strong presence due to its focus on sustainable infrastructure development and compliance with rigorous risk management standards. Latin America and the Middle East & Africa are also emerging as promising markets, supported by ongoing efforts to upgrade transportation networks and improve project delivery outcomes.



    Component Analysis



    The Schedule Risk Analysis for Highway Projects market is segmented by component into Software and Services. The software segment encompasses a wide range of digital tools designed to automate and streamline the risk analysis process. These solutions offer functionalities such as risk identification, scenario modeling, Monte Carlo simulations, and real-time reporting, enabling project managers to make informed decisions based on data-driven insights. The incr

  15. S

    Risk assessment of the impact of present land use and environmental factors...

    • dataportal.senckenberg.de
    jpeg
    Updated Dec 17, 2020
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    Schumann (2020). Risk assessment of the impact of present land use and environmental factors on the distribution of useful woody species and diversity in and around W-National Park (Burkina Faso) [Dataset]. https://dataportal.senckenberg.de/de/dataset/risk-assessment-of-the-impact-of-present-land-use-and-environmental-factors-on
    Explore at:
    jpeg(57414)Available download formats
    Dataset updated
    Dec 17, 2020
    Dataset provided by
    Senckenberg - Data Stock (general)
    Authors
    Schumann
    Time period covered
    2007 - 2013
    Area covered
    Burkina Faso
    Description

    Useful woody species contribute enormously to maintain livelihoods in rural areas of West Africa and are strongly influenced by environmental conditions and human activities. In order to assess species-specific responses to these factors, we studied distribution and diversity patterns of useful woody species in relation to several environmental factors in- and outside of a protected area in eastern Burkina Faso. We used a species distribution modeling approach and modeled separately for adults and juveniles. While adult distributions can be interpreted as the current state of the species, juvenile distributions give hints about the species population development in the future. Our results reveal that elevation and precipitation were the most influencing environmental factors on distributions of both juvenile and adult diversity. Furthermore, we demonstrated that the responses to human activities differed widely between species and often even between adults and juveniles of the same species emphasizing the difficulty of giving over-simplified statements about the human impact on useful woody species. We were able to classify the useful species into five groups with similar reaction to human activities. We discuss which species groups might persist under increasing human pressure and which groups are likely to face a declining trend in the future.

  16. D

    Pushback Risk Assessment Digital Tool Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Pushback Risk Assessment Digital Tool Market Outlook



    As per our latest research, the global Pushback Risk Assessment Digital Tool market size in 2024 stands at USD 1.12 billion, with a robust year-on-year growth supported by increasing digitalization in the transportation and logistics sectors. The market is demonstrating a promising compound annual growth rate (CAGR) of 13.7% from 2025 to 2033. By the end of 2033, the Pushback Risk Assessment Digital Tool market is forecasted to reach USD 3.48 billion. The primary growth factor driving this expansion is the rising emphasis on operational safety and efficiency across critical infrastructure sectors, particularly aviation and logistics, where minimizing pushback risks is vital for both cost control and compliance with stringent regulatory standards.




    The rapid adoption of digital transformation strategies across the aviation, logistics, and maritime industries is a significant growth driver for the Pushback Risk Assessment Digital Tool market. Organizations in these sectors are increasingly recognizing the value of integrating advanced analytics, real-time data processing, and predictive modeling into their risk management frameworks. Digital tools for pushback risk assessment enable stakeholders to proactively identify potential hazards, optimize ground and cargo operations, and reduce the likelihood of costly incidents. With increasing air traffic, larger and more complex logistics networks, and heightened regulatory scrutiny, stakeholders are compelled to invest in advanced risk assessment solutions to maintain seamless operations and avoid penalties, thus fueling market growth.




    Technological advancements in artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are transforming the landscape of pushback risk assessment. Modern digital tools leverage these technologies to deliver real-time risk insights, automate safety protocols, and facilitate data-driven decision-making. Integration with other operational systems, such as airport management software and logistics platforms, further enhances the value proposition of these tools. As these technologies mature and become more accessible, even smaller airports, airlines, and logistics providers are beginning to adopt digital risk assessment tools, widening the addressable market and accelerating overall growth.




    Another critical growth factor is the rising focus on sustainability and environmental responsibility within transportation and logistics. Pushback operations, especially in aviation and maritime sectors, are under increasing scrutiny due to their potential environmental impact, including fuel consumption and emissions. Digital tools that can assess and mitigate risks not only enhance safety but also contribute to the optimization of resources, reducing unnecessary fuel burn and minimizing the carbon footprint. This dual benefit of operational efficiency and environmental compliance is encouraging a broader range of stakeholders to invest in pushback risk assessment digital tools, further propelling market expansion.




    From a regional perspective, North America currently leads the Pushback Risk Assessment Digital Tool market, accounting for a substantial share of global revenues in 2024. The region's dominance is attributed to the presence of major international airports, advanced logistics networks, and a strong culture of safety compliance. Europe follows closely, driven by stringent regulatory frameworks and a high concentration of technologically advanced transportation hubs. Meanwhile, the Asia Pacific region is emerging as the fastest-growing market, supported by rapid infrastructure development, increasing air and maritime traffic, and growing investments in digital transformation initiatives. Latin America and the Middle East & Africa are also witnessing steady adoption, albeit at a more nascent stage, as stakeholders in these regions prioritize modernization and risk management.



    Component Analysis



    The Pushback Risk Assessment Digital Tool market is segmented by component into Software and Services. Software solutions constitute the backbone of this market, providing the core analytical, predictive, and reporting functionalities required for effective risk assessment. These software platforms utilize advanced algorithms, real-time data feeds, and customizable dashboards to deliver actionable insight

  17. r

    International Journal of Computational Intelligence Systems Impact Factor...

    • researchhelpdesk.org
    Updated Feb 19, 2022
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    Research Help Desk (2022). International Journal of Computational Intelligence Systems Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/359/international-journal-of-computational-intelligence-systems
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    Dataset updated
    Feb 19, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    International Journal of Computational Intelligence Systems Impact Factor 2024-2025 - ResearchHelpDesk - The International Journal of Computational Intelligence Systems is an international peer reviewed journal and the official publication of the European Society for Fuzzy Logic and Technologies (EUSFLAT). The journal publishes original research on all aspects of applied computational intelligence, especially targeting papers demonstrating the use of techniques and methods originating from computational intelligence theory. This is an open access journal, i.e. all articles are immediately and permanently free to read, download, copy & distribute. The journal is published under the CC BY-NC 4.0 user license which defines the permitted 3rd-party reuse of its articles. Aims & Scope The International Journal of Computational Intelligence Systems publishes original research on all aspects of applied computational intelligence, especially targeting papers demonstrating the use of techniques and methods originating from computational intelligence theory. The core theories of computational intelligence are fuzzy logic, neural networks, evolutionary computation and probabilistic reasoning. The journal publishes only articles related to the use of computational intelligence and broadly covers the following topics: Autonomous reasoning Bio-informatics Cloud computing Condition monitoring Data science Data mining Data visualization Decision support systems Fault diagnosis Intelligent information retrieval Human-machine interaction and interfaces Image processing Internet and networks Noise analysis Pattern recognition Prediction systems Power (nuclear) safety systems Process and system control Real-time systems Risk analysis and safety-related issues Robotics Signal and image processing IoT and smart environments Systems integration System control System modelling and optimization Telecommunications Time series prediction Warning systems Virtual reality Web intelligence Deep learning

  18. Validation of the 4 risk-of-bias domains between automated and human...

    • plos.figshare.com
    xls
    Updated Jun 11, 2023
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    Christiaan H. Vinkers; Herm J. Lamberink; Joeri K. Tijdink; Pauline Heus; Lex Bouter; Paul Glasziou; David Moher; Johanna A. Damen; Lotty Hooft; Willem M. Otte (2023). Validation of the 4 risk-of-bias domains between automated and human assessments in RCTs obtained from the Cochrane systematic reviews risk-of-bias tables. [Dataset]. http://doi.org/10.1371/journal.pbio.3001162.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Christiaan H. Vinkers; Herm J. Lamberink; Joeri K. Tijdink; Pauline Heus; Lex Bouter; Paul Glasziou; David Moher; Johanna A. Damen; Lotty Hooft; Willem M. Otte
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Validation of the 4 risk-of-bias domains between automated and human assessments in RCTs obtained from the Cochrane systematic reviews risk-of-bias tables.

  19. D

    Cable Route Risk Assessment Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Cable Route Risk Assessment Market Research Report 2033 [Dataset]. https://dataintelo.com/report/cable-route-risk-assessment-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Cable Route Risk Assessment Market Outlook



    As per our latest research, the global cable route risk assessment market size reached USD 1.42 billion in 2024, driven by the increasing need for secure and reliable cable infrastructure across critical industries. The market is exhibiting robust expansion, recording a CAGR of 8.1% from 2025 to 2033. By 2033, the market is forecasted to achieve a value of USD 2.74 billion. This growth is fueled by escalating investments in submarine, underground, and overhead cable projects, coupled with stringent regulatory requirements for risk mitigation and environmental protection.




    One of the primary growth factors for the cable route risk assessment market is the rapid expansion of global telecommunications networks. With the proliferation of 5G, fiber-optic deployments, and increased demand for high-speed internet, telecom operators are investing heavily in robust cable infrastructure. This surge is accompanied by the need for sophisticated risk assessment services to ensure the security, reliability, and compliance of cable routes. Site surveys, risk analysis, and regulatory compliance checks are now considered essential components in planning and maintaining cable networks. The complexity of modern telecommunication networks, especially those spanning international borders and undersea routes, necessitates advanced risk assessment solutions that can address diverse environmental, technical, and geopolitical challenges.




    Another significant driver is the growing emphasis on energy security and grid modernization within the energy and utilities sector. As countries transition to renewable energy sources and smart grid technologies, there is a marked increase in the deployment of underground and submarine power cables. These projects often traverse ecologically sensitive areas, requiring comprehensive environmental assessments and risk analyses to prevent disruptions and ensure regulatory compliance. The oil & gas and transportation industries are also contributing to market growth, as they rely on extensive cable networks for operations, monitoring, and safety systems. The integration of digital technologies such as GIS, remote sensing, and AI-based risk modeling is further enhancing the accuracy and efficiency of cable route risk assessments, making them indispensable for large-scale infrastructure projects.




    The heightened focus on regulatory compliance and environmental sustainability is shaping the evolution of the cable route risk assessment market. Governments and international bodies are enforcing stricter guidelines on cable installations, particularly for submarine and underground routes that may impact marine and terrestrial ecosystems. This regulatory landscape is compelling project developers to invest in comprehensive risk assessment services that encompass site surveys, environmental impact studies, and ongoing monitoring. Additionally, the increasing frequency of natural disasters and climate-related risks has underscored the importance of proactive risk management in cable route planning. Companies are leveraging advanced analytics and scenario modeling to anticipate and mitigate potential hazards, ensuring uninterrupted service delivery and asset protection.




    Regionally, the Asia Pacific market is witnessing the fastest growth, driven by large-scale infrastructure initiatives in countries like China, India, and Japan. North America and Europe remain key markets due to their mature telecommunications and energy sectors, while the Middle East & Africa and Latin America are emerging as promising regions with significant investments in connectivity and energy projects. The competitive landscape is characterized by the presence of global consulting firms, specialized risk assessment providers, and technology vendors offering integrated solutions tailored to diverse industry requirements.



    Service Type Analysis



    The cable route risk assessment market is segmented by service type into site survey, risk analysis, environmental assessment, regulatory compliance, and others. Site survey services form the foundation of any risk assessment process, involving detailed physical and geospatial evaluations of proposed cable routes. These surveys utilize advanced tools such as LiDAR, sonar, and geographic information systems (GIS) to map terrain, identify potential hazards, and assess accessibility. The demand for site survey services is particularly high in projects involving submarine a

  20. D

    Privacy Impact Assessment Services Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Privacy Impact Assessment Services Market Research Report 2033 [Dataset]. https://dataintelo.com/report/privacy-impact-assessment-services-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Privacy Impact Assessment Services Market Outlook



    According to our latest research, the global Privacy Impact Assessment Services market size reached USD 1.62 billion in 2024, reflecting a robust demand for comprehensive privacy compliance solutions amid tightening data protection regulations worldwide. The market is experiencing a remarkable compound annual growth rate (CAGR) of 16.7% from 2025 to 2033. At this pace, the market is projected to grow significantly, reaching a value of USD 5.06 billion by 2033. The primary growth factors include the proliferation of digital transformation initiatives, increasing frequency of data breaches, and the global expansion of privacy-focused regulatory frameworks such as GDPR, CCPA, and other regional data protection laws.



    A key driver of the Privacy Impact Assessment Services market is the exponential growth in data generation across industries. As organizations continue to digitize their operations, vast amounts of sensitive personal and corporate data are being collected, processed, and stored. This surge in data, coupled with the rise in cross-border data transfers, has heightened the risk of data breaches and privacy violations. Consequently, businesses are increasingly recognizing the importance of conducting privacy impact assessments (PIAs) to identify, evaluate, and mitigate privacy risks at every stage of data handling. The demand for specialized services that can ensure compliance, minimize legal exposure, and maintain customer trust is fueling the rapid adoption of privacy impact assessment solutions across sectors.



    Another significant growth factor is the evolving regulatory landscape. Governments worldwide are enacting stricter data privacy regulations, compelling organizations to adopt proactive privacy management practices. The introduction of laws such as the General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the United States, and similar legislation in Asia Pacific and Latin America has made privacy impact assessments a legal necessity for many enterprises. These regulations mandate organizations to demonstrate accountability and transparency in their data processing activities, further accelerating the uptake of privacy impact assessment services. The increasing penalties for non-compliance and the growing public awareness of data privacy rights are compelling organizations to invest in robust privacy assessment frameworks.



    Additionally, the growing complexity of IT environments, driven by cloud adoption, mobile technologies, and the Internet of Things (IoT), is amplifying the need for expert privacy assessments. As organizations leverage new digital platforms and interconnected systems, the potential attack surface for data breaches expands, making it imperative to identify privacy risks during system design and integration. This trend is particularly pronounced in sectors handling sensitive data, such as healthcare, banking, and government, where regulatory scrutiny is highest. The need for tailored privacy assessment services that can address sector-specific challenges is creating lucrative opportunities for service providers, contributing to the sustained growth of the market.



    From a regional perspective, North America continues to dominate the Privacy Impact Assessment Services market, driven by early regulatory adoption, advanced IT infrastructure, and high awareness of data privacy issues among enterprises. Europe follows closely, underpinned by the stringent requirements of GDPR and a proactive approach to privacy management. The Asia Pacific region is witnessing the fastest growth, fueled by rapid digitalization, expanding internet penetration, and the emergence of new data protection laws in countries such as India, Singapore, and Australia. Latin America and the Middle East & Africa are also showing increasing adoption, as multinational corporations and local enterprises align with global privacy standards to facilitate cross-border business and build consumer trust.



    Service Type Analysis



    The Service Type segment in the Privacy Impact Assessment Services market encompasses a diverse range of offerings, including Data Mapping, Risk Assessment, Compliance Management, Reporting & Documentation, Training & Awareness, and other specialized services. Data Mapping has emerged as a foundational component, enabling organizations to systematically identify and catalog personal d

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(2025). Risk Analysis - impact-factor [Dataset]. https://exaly.com/journal/14920/risk-analysis

Risk Analysis - impact-factor

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csv, jsonAvailable download formats
Dataset updated
Sep 29, 2025
License

Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically

Description

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

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