8 datasets found
  1. e

    International Journal of Open Source Software and Processes - impact-factor

    • exaly.com
    csv, json
    Updated Nov 1, 2025
    + more versions
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    (2025). International Journal of Open Source Software and Processes - impact-factor [Dataset]. https://exaly.com/journal/37760/international-journal-of-open-source-software-and-processes
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 1, 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

    International Journal of Open Source Software and Processes - if-computation...

    • exaly.com
    csv, json
    Updated Nov 1, 2025
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    (2025). International Journal of Open Source Software and Processes - if-computation [Dataset]. https://exaly.com/journal/37760/international-journal-of-open-source-software-an/impact-factor
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 1, 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.

  3. r

    International Journal of Engineering and Advanced Technology Impact Factor...

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). International Journal of Engineering and Advanced Technology Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/552/international-journal-of-engineering-and-advanced-technology
    Explore at:
    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    International Journal of Engineering and Advanced Technology Impact Factor 2024-2025 - ResearchHelpDesk - International Journal of Engineering and Advanced Technology (IJEAT) is having Online-ISSN 2249-8958, bi-monthly international journal, being published in the months of February, April, June, August, October, and December by Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) Bhopal (M.P.), India since the year 2011. It is academic, online, open access, double-blind, peer-reviewed international journal. It aims to publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. All submitted papers will be reviewed by the board of committee of IJEAT. Aim of IJEAT Journal disseminate original, scientific, theoretical or applied research in the field of Engineering and allied fields. dispense a platform for publishing results and research with a strong empirical component. aqueduct the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. seek original and unpublished research papers based on theoretical or experimental works for the publication globally. publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. impart a platform for publishing results and research with a strong empirical component. create a bridge for a significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. solicit original and unpublished research papers, based on theoretical or experimental works. Scope of IJEAT International Journal of Engineering and Advanced Technology (IJEAT) covers all topics of all engineering branches. Some of them are Computer Science & Engineering, Information Technology, Electronics & Communication, Electrical and Electronics, Electronics and Telecommunication, Civil Engineering, Mechanical Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. The main topic includes but not limited to: 1. Smart Computing and Information Processing Signal and Speech Processing Image Processing and Pattern Recognition WSN Artificial Intelligence and machine learning Data mining and warehousing Data Analytics Deep learning Bioinformatics High Performance computing Advanced Computer networking Cloud Computing IoT Parallel Computing on GPU Human Computer Interactions 2. Recent Trends in Microelectronics and VLSI Design Process & Device Technologies Low-power design Nanometer-scale integrated circuits Application specific ICs (ASICs) FPGAs Nanotechnology Nano electronics and Quantum Computing 3. Challenges of Industry and their Solutions, Communications Advanced Manufacturing Technologies Artificial Intelligence Autonomous Robots Augmented Reality Big Data Analytics and Business Intelligence Cyber Physical Systems (CPS) Digital Clone or Simulation Industrial Internet of Things (IIoT) Manufacturing IOT Plant Cyber security Smart Solutions – Wearable Sensors and Smart Glasses System Integration Small Batch Manufacturing Visual Analytics Virtual Reality 3D Printing 4. Internet of Things (IoT) Internet of Things (IoT) & IoE & Edge Computing Distributed Mobile Applications Utilizing IoT Security, Privacy and Trust in IoT & IoE Standards for IoT Applications Ubiquitous Computing Block Chain-enabled IoT Device and Data Security and Privacy Application of WSN in IoT Cloud Resources Utilization in IoT Wireless Access Technologies for IoT Mobile Applications and Services for IoT Machine/ Deep Learning with IoT & IoE Smart Sensors and Internet of Things for Smart City Logic, Functional programming and Microcontrollers for IoT Sensor Networks, Actuators for Internet of Things Data Visualization using IoT IoT Application and Communication Protocol Big Data Analytics for Social Networking using IoT IoT Applications for Smart Cities Emulation and Simulation Methodologies for IoT IoT Applied for Digital Contents 5. Microwaves and Photonics Microwave filter Micro Strip antenna Microwave Link design Microwave oscillator Frequency selective surface Microwave Antenna Microwave Photonics Radio over fiber Optical communication Optical oscillator Optical Link design Optical phase lock loop Optical devices 6. Computation Intelligence and Analytics Soft Computing Advance Ubiquitous Computing Parallel Computing Distributed Computing Machine Learning Information Retrieval Expert Systems Data Mining Text Mining Data Warehousing Predictive Analysis Data Management Big Data Analytics Big Data Security 7. Energy Harvesting and Wireless Power Transmission Energy harvesting and transfer for wireless sensor networks Economics of energy harvesting communications Waveform optimization for wireless power transfer RF Energy Harvesting Wireless Power Transmission Microstrip Antenna design and application Wearable Textile Antenna Luminescence Rectenna 8. Advance Concept of Networking and Database Computer Network Mobile Adhoc Network Image Security Application Artificial Intelligence and machine learning in the Field of Network and Database Data Analytic High performance computing Pattern Recognition 9. Machine Learning (ML) and Knowledge Mining (KM) Regression and prediction Problem solving and planning Clustering Classification Neural information processing Vision and speech perception Heterogeneous and streaming data Natural language processing Probabilistic Models and Methods Reasoning and inference Marketing and social sciences Data mining Knowledge Discovery Web mining Information retrieval Design and diagnosis Game playing Streaming data Music Modelling and Analysis Robotics and control Multi-agent systems Bioinformatics Social sciences Industrial, financial and scientific applications of all kind 10. Advanced Computer networking Computational Intelligence Data Management, Exploration, and Mining Robotics Artificial Intelligence and Machine Learning Computer Architecture and VLSI Computer Graphics, Simulation, and Modelling Digital System and Logic Design Natural Language Processing and Machine Translation Parallel and Distributed Algorithms Pattern Recognition and Analysis Systems and Software Engineering Nature Inspired Computing Signal and Image Processing Reconfigurable Computing Cloud, Cluster, Grid and P2P Computing Biomedical Computing Advanced Bioinformatics Green Computing Mobile Computing Nano Ubiquitous Computing Context Awareness and Personalization, Autonomic and Trusted Computing Cryptography and Applied Mathematics Security, Trust and Privacy Digital Rights Management Networked-Driven Multicourse Chips Internet Computing Agricultural Informatics and Communication Community Information Systems Computational Economics, Digital Photogrammetric Remote Sensing, GIS and GPS Disaster Management e-governance, e-Commerce, e-business, e-Learning Forest Genomics and Informatics Healthcare Informatics Information Ecology and Knowledge Management Irrigation Informatics Neuro-Informatics Open Source: Challenges and opportunities Web-Based Learning: Innovation and Challenges Soft computing Signal and Speech Processing Natural Language Processing 11. Communications Microstrip Antenna Microwave Radar and Satellite Smart Antenna MIMO Antenna Wireless Communication RFID Network and Applications 5G Communication 6G Communication 12. Algorithms and Complexity Sequential, Parallel And Distributed Algorithms And Data Structures Approximation And Randomized Algorithms Graph Algorithms And Graph Drawing On-Line And Streaming Algorithms Analysis Of Algorithms And Computational Complexity Algorithm Engineering Web Algorithms Exact And Parameterized Computation Algorithmic Game Theory Computational Biology Foundations Of Communication Networks Computational Geometry Discrete Optimization 13. Software Engineering and Knowledge Engineering Software Engineering Methodologies Agent-based software engineering Artificial intelligence approaches to software engineering Component-based software engineering Embedded and ubiquitous software engineering Aspect-based software engineering Empirical software engineering Search-Based Software engineering Automated software design and synthesis Computer-supported cooperative work Automated software specification Reverse engineering Software Engineering Techniques and Production Perspectives Requirements engineering Software analysis, design and modelling Software maintenance and evolution Software engineering tools and environments Software engineering decision support Software design patterns Software product lines Process and workflow management Reflection and metadata approaches Program understanding and system maintenance Software domain modelling and analysis Software economics Multimedia and hypermedia software engineering Software engineering case study and experience reports Enterprise software, middleware, and tools Artificial intelligent methods, models, techniques Artificial life and societies Swarm intelligence Smart Spaces Autonomic computing and agent-based systems Autonomic computing Adaptive Systems Agent architectures, ontologies, languages and protocols Multi-agent systems Agent-based learning and knowledge discovery Interface agents Agent-based auctions and marketplaces Secure mobile and multi-agent systems Mobile agents SOA and Service-Oriented Systems Service-centric software engineering Service oriented requirements engineering Service oriented architectures Middleware for service based systems Service discovery and composition Service level

  4. f

    Data_Sheet_1_GitHub Statistics as a Measure of the Impact of Open-Source...

    • frontiersin.figshare.com
    • figshare.com
    pdf
    Updated May 31, 2023
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    Mikhail G. Dozmorov (2023). Data_Sheet_1_GitHub Statistics as a Measure of the Impact of Open-Source Bioinformatics Software.PDF [Dataset]. http://doi.org/10.3389/fbioe.2018.00198.s001
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    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Mikhail G. Dozmorov
    License

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

    Description

    Modern research is increasingly data-driven and reliant on bioinformatics software. Publication is a common way of introducing new software, but not all bioinformatics tools get published. Giving there are competing tools, it is important not merely to find the appropriate software, but have a metric for judging its usefulness. Journal's impact factor has been shown to be a poor predictor of software popularity; consequently, focusing on publications in high-impact journals limits user's choices in finding useful bioinformatics tools. Free and open source software repositories on popular code sharing platforms such as GitHub provide another venue to follow the latest bioinformatics trends. The open source component of GitHub allows users to bookmark and copy repositories that are most useful to them. This Perspective aims to demonstrate the utility of GitHub “stars,” “watchers,” and “forks” (GitHub statistics) as a measure of software impact. We compiled lists of impactful bioinformatics software and analyzed commonly used impact metrics and GitHub statistics of 50 genomics-oriented bioinformatics tools. We present examples of community-selected best bioinformatics resources and show that GitHub statistics are distinct from the journal's impact factor (JIF), citation counts, and alternative metrics (Altmetrics, CiteScore) in capturing the level of community attention. We suggest the use of GitHub statistics as an unbiased measure of the usability of bioinformatics software complementing the traditional impact metrics.

  5. r

    Australian and New Zealand journal of statistics Impact Factor 2024-2025 -...

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Australian and New Zealand journal of statistics Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/211/australian-and-new-zealand-journal-of-statistics
    Explore at:
    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Australian and New Zealand journal of statistics Impact Factor 2024-2025 - ResearchHelpDesk - The Australian & New Zealand Journal of Statistics is an international journal managed jointly by the Statistical Society of Australia and the New Zealand Statistical Association. Its purpose is to report significant and novel contributions in statistics, ranging across articles on statistical theory, methodology, applications and computing. The journal has a particular focus on statistical techniques that can be readily applied to real-world problems, and on application papers with an Australasian emphasis. Outstanding articles submitted to the journal may be selected as Discussion Papers, to be read at a meeting of either the Statistical Society of Australia or the New Zealand Statistical Association. The main body of the journal is divided into three sections. The Theory and Methods Section publishes papers containing original contributions to the theory and methodology of statistics, econometrics and probability, and seeks papers motivated by a real problem and which demonstrate the proposed theory or methodology in that situation. There is a strong preference for papers motivated by, and illustrated with, real data. The Applications Section publishes papers demonstrating applications of statistical techniques to problems faced by users of statistics in the sciences, government and industry. A particular focus is the application of newly developed statistical methodology to real data and the demonstration of better use of established statistical methodology in an area of application. It seeks to aid teachers of statistics by placing statistical methods in context. The Statistical Computing Section publishes papers containing new algorithms, code snippets, or software descriptions (for open source software only) which enhance the field through the application of computing. Preference is given to papers featuring publically available code and/or data, and to those motivated by statistical methods for practical problems. In addition, suitable review papers and articles of historical and general interest will be considered. The journal also publishes book reviews on a regular basis. Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Elite (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) CompuMath Citation Index (Clarivate Analytics) Current Index to Statistics (ASA/IMS) Journal Citation Reports/Science Edition (Clarivate Analytics) Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS) RePEc: Research Papers in Economics Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Statistical Theory & Method Abstracts (Zentralblatt MATH) ZBMATH (Zentralblatt MATH)

  6. r

    ✅ International Journal of Engineering and Advanced Technology ISSN -...

    • researchhelpdesk.org
    Updated Feb 23, 2022
    + more versions
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    Research Help Desk (2022). ✅ International Journal of Engineering and Advanced Technology ISSN - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/issn/552/international-journal-of-engineering-and-advanced-technology
    Explore at:
    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    ✅ International Journal of Engineering and Advanced Technology ISSN - ResearchHelpDesk - International Journal of Engineering and Advanced Technology (IJEAT) is having Online-ISSN 2249-8958, bi-monthly international journal, being published in the months of February, April, June, August, October, and December by Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) Bhopal (M.P.), India since the year 2011. It is academic, online, open access, double-blind, peer-reviewed international journal. It aims to publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. All submitted papers will be reviewed by the board of committee of IJEAT. Aim of IJEAT Journal disseminate original, scientific, theoretical or applied research in the field of Engineering and allied fields. dispense a platform for publishing results and research with a strong empirical component. aqueduct the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. seek original and unpublished research papers based on theoretical or experimental works for the publication globally. publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. impart a platform for publishing results and research with a strong empirical component. create a bridge for a significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. solicit original and unpublished research papers, based on theoretical or experimental works. Scope of IJEAT International Journal of Engineering and Advanced Technology (IJEAT) covers all topics of all engineering branches. Some of them are Computer Science & Engineering, Information Technology, Electronics & Communication, Electrical and Electronics, Electronics and Telecommunication, Civil Engineering, Mechanical Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. The main topic includes but not limited to: 1. Smart Computing and Information Processing Signal and Speech Processing Image Processing and Pattern Recognition WSN Artificial Intelligence and machine learning Data mining and warehousing Data Analytics Deep learning Bioinformatics High Performance computing Advanced Computer networking Cloud Computing IoT Parallel Computing on GPU Human Computer Interactions 2. Recent Trends in Microelectronics and VLSI Design Process & Device Technologies Low-power design Nanometer-scale integrated circuits Application specific ICs (ASICs) FPGAs Nanotechnology Nano electronics and Quantum Computing 3. Challenges of Industry and their Solutions, Communications Advanced Manufacturing Technologies Artificial Intelligence Autonomous Robots Augmented Reality Big Data Analytics and Business Intelligence Cyber Physical Systems (CPS) Digital Clone or Simulation Industrial Internet of Things (IIoT) Manufacturing IOT Plant Cyber security Smart Solutions – Wearable Sensors and Smart Glasses System Integration Small Batch Manufacturing Visual Analytics Virtual Reality 3D Printing 4. Internet of Things (IoT) Internet of Things (IoT) & IoE & Edge Computing Distributed Mobile Applications Utilizing IoT Security, Privacy and Trust in IoT & IoE Standards for IoT Applications Ubiquitous Computing Block Chain-enabled IoT Device and Data Security and Privacy Application of WSN in IoT Cloud Resources Utilization in IoT Wireless Access Technologies for IoT Mobile Applications and Services for IoT Machine/ Deep Learning with IoT & IoE Smart Sensors and Internet of Things for Smart City Logic, Functional programming and Microcontrollers for IoT Sensor Networks, Actuators for Internet of Things Data Visualization using IoT IoT Application and Communication Protocol Big Data Analytics for Social Networking using IoT IoT Applications for Smart Cities Emulation and Simulation Methodologies for IoT IoT Applied for Digital Contents 5. Microwaves and Photonics Microwave filter Micro Strip antenna Microwave Link design Microwave oscillator Frequency selective surface Microwave Antenna Microwave Photonics Radio over fiber Optical communication Optical oscillator Optical Link design Optical phase lock loop Optical devices 6. Computation Intelligence and Analytics Soft Computing Advance Ubiquitous Computing Parallel Computing Distributed Computing Machine Learning Information Retrieval Expert Systems Data Mining Text Mining Data Warehousing Predictive Analysis Data Management Big Data Analytics Big Data Security 7. Energy Harvesting and Wireless Power Transmission Energy harvesting and transfer for wireless sensor networks Economics of energy harvesting communications Waveform optimization for wireless power transfer RF Energy Harvesting Wireless Power Transmission Microstrip Antenna design and application Wearable Textile Antenna Luminescence Rectenna 8. Advance Concept of Networking and Database Computer Network Mobile Adhoc Network Image Security Application Artificial Intelligence and machine learning in the Field of Network and Database Data Analytic High performance computing Pattern Recognition 9. Machine Learning (ML) and Knowledge Mining (KM) Regression and prediction Problem solving and planning Clustering Classification Neural information processing Vision and speech perception Heterogeneous and streaming data Natural language processing Probabilistic Models and Methods Reasoning and inference Marketing and social sciences Data mining Knowledge Discovery Web mining Information retrieval Design and diagnosis Game playing Streaming data Music Modelling and Analysis Robotics and control Multi-agent systems Bioinformatics Social sciences Industrial, financial and scientific applications of all kind 10. Advanced Computer networking Computational Intelligence Data Management, Exploration, and Mining Robotics Artificial Intelligence and Machine Learning Computer Architecture and VLSI Computer Graphics, Simulation, and Modelling Digital System and Logic Design Natural Language Processing and Machine Translation Parallel and Distributed Algorithms Pattern Recognition and Analysis Systems and Software Engineering Nature Inspired Computing Signal and Image Processing Reconfigurable Computing Cloud, Cluster, Grid and P2P Computing Biomedical Computing Advanced Bioinformatics Green Computing Mobile Computing Nano Ubiquitous Computing Context Awareness and Personalization, Autonomic and Trusted Computing Cryptography and Applied Mathematics Security, Trust and Privacy Digital Rights Management Networked-Driven Multicourse Chips Internet Computing Agricultural Informatics and Communication Community Information Systems Computational Economics, Digital Photogrammetric Remote Sensing, GIS and GPS Disaster Management e-governance, e-Commerce, e-business, e-Learning Forest Genomics and Informatics Healthcare Informatics Information Ecology and Knowledge Management Irrigation Informatics Neuro-Informatics Open Source: Challenges and opportunities Web-Based Learning: Innovation and Challenges Soft computing Signal and Speech Processing Natural Language Processing 11. Communications Microstrip Antenna Microwave Radar and Satellite Smart Antenna MIMO Antenna Wireless Communication RFID Network and Applications 5G Communication 6G Communication 12. Algorithms and Complexity Sequential, Parallel And Distributed Algorithms And Data Structures Approximation And Randomized Algorithms Graph Algorithms And Graph Drawing On-Line And Streaming Algorithms Analysis Of Algorithms And Computational Complexity Algorithm Engineering Web Algorithms Exact And Parameterized Computation Algorithmic Game Theory Computational Biology Foundations Of Communication Networks Computational Geometry Discrete Optimization 13. Software Engineering and Knowledge Engineering Software Engineering Methodologies Agent-based software engineering Artificial intelligence approaches to software engineering Component-based software engineering Embedded and ubiquitous software engineering Aspect-based software engineering Empirical software engineering Search-Based Software engineering Automated software design and synthesis Computer-supported cooperative work Automated software specification Reverse engineering Software Engineering Techniques and Production Perspectives Requirements engineering Software analysis, design and modelling Software maintenance and evolution Software engineering tools and environments Software engineering decision support Software design patterns Software product lines Process and workflow management Reflection and metadata approaches Program understanding and system maintenance Software domain modelling and analysis Software economics Multimedia and hypermedia software engineering Software engineering case study and experience reports Enterprise software, middleware, and tools Artificial intelligent methods, models, techniques Artificial life and societies Swarm intelligence Smart Spaces Autonomic computing and agent-based systems Autonomic computing Adaptive Systems Agent architectures, ontologies, languages and protocols Multi-agent systems Agent-based learning and knowledge discovery Interface agents Agent-based auctions and marketplaces Secure mobile and multi-agent systems Mobile agents SOA and Service-Oriented Systems Service-centric software engineering Service oriented requirements engineering Service oriented architectures Middleware for service based systems Service discovery and composition Service level agreements

  7. r

    PLOS Genetics CiteScore 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Jun 23, 2022
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    Research Help Desk (2022). PLOS Genetics CiteScore 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/sjr/596/plos-genetics
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    Dataset updated
    Jun 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    PLOS Genetics CiteScore 2024-2025 - ResearchHelpDesk - Genetics and genomics research has grown at a bewildering pace in the past 15 years. The techniques of these fields are being applied to a wealth of biological questions and experimental systems. PLOS Genetics reflects the full breadth and interdisciplinary nature of this research by publishing outstanding original contributions in all areas of biology. PLOS Genetics publishes human studies, as well as research on model organisms—from mice and flies, to plants and bacteria. Our emphasis is on studies of broad interest that provide significant insight into biological process or processes. Topics include (but are not limited to) gene discovery and function, population genetics, genome projects, comparative and functional genomics, medical genetics, disease biology, evolution, gene expression, complex traits, chromosome biology, and epigenetics. Criteria for Publication To be considered for publication in PLOS Genetics, any given manuscript must satisfy the following criteria: Originality High importance to researchers in the field Broad interest to researchers in genetics and genomics Rigorous methodology Substantial evidence for its conclusions For manuscripts that focus on descriptive genomics, the PLOS Genetics editors are generally most enthusiastic about those that also include innovative theoretical treatment or follow-up experimentation that reveals novel and significant biological insight. For work in which disruption of gene function in model organisms plays an important role, compelling evidence of causality and specificity is required, generally supported by mutational analysis. Experiments based on alternative approaches, e.g., morpholinos, F0 gene editing, siRNA, or shRNA, are generally not sufficient unless accompanied by rigorous and thorough justification. For manuscripts considered as part of our Methods section, the PLOS Genetics editors are most enthusiastic about methods that represent a new way of approaching a biological or biomedical question, or a substantive advance over existing approaches, and that are likely to be adopted broadly by the genetics community. We encourage methods that are computational (“dry bench”) and/or experimental (“wet bench”), and we require that the resources (source code, cell lines, model organisms) required for the method be made publicly available consistent with PLOS’ policy on Materials and Software Sharing, https://journals.plos.org/plosone/s/materials-and-software-sharing#. Open Access PLOS applies the Creative Commons Attribution (CC BY) license to works we publish. Under this license, authors agree to make articles legally available for reuse, without permission or fees, for virtually any purpose. Anyone may copy, distribute, or reuse these articles, as long as the author and original source are properly cited. Learn more. Journal Impact and Article Metrics PLOS does not consider the Impact Factor to be a reliable or useful metric to assess the performance of individual articles. PLOS supports DORA – the San Francisco Declaration on Research Assessment – and does not promote our journal Impact Factors. We will provide the metric to individuals when specifically requested. PLOS Genetics Abstracting and indexing AGRICOLA Biological Abstracts BIOSIS Previews CAB Abstracts Chemical Abstracts Service Current Contents/Life Sciences EBSCO databases Embase Index Medicus/MEDLINE/PubMed Science Citation Index Scopus The Zoological Record PLOS Genetics Publication Fee Research Article $2,575 PLOS Genetics impact factor 2019 5.175 (2019) PLOS Genetics impact factor 2018 5.224 (2018) PLOS Genetics Editorial Board Gregory S. Barsh Gregory P. Copenhaver David J. Kwiatkowski Peter McKinnon Wendy A. Bickmore John M. Greally Kirsten Bomblies Bret Payseur David Balding Chengqi Yi Hua Tang Scott M. Williams Claudia Köhler Li-Jia Qu Josep Casadesús Lotte Søgaard-Andersen Jonathan Flint Elizabeth M. C. Fisher Petra Anne Levin Christine Queitsch Thomas Shafee A. Aziz Aboobaker Devin Absher Julie Ahringer Joshua M. Akey Kaveh Ashrafi Karen B. Avraham Marisa S. Bartolomei Adam Bass David R. Beier Marnie Blewitt Melanie Blokesch Giovanni Bosco Jürgen Brosius Carmen Buchrieser Alex Buerkle Geraldine Butler Ken M. Cadigan Jackson Champer Andrew D. Chisholm Bruce E. Clurman Gitta Coaker Paula Cohen Mónica P. Colaiácovo Maralice Conacci-Sorrell Frank Conlon Gregory M. Cooper Heather J. Cordell Chris Cotsapas Gregory A. Cox Visit for more editorial member : https://journals.plos.org/plosgenetics/s/editorial-board

  8. r

    PLOS Genetics Acceptance Rate - ResearchHelpDesk

    • researchhelpdesk.org
    Updated May 4, 2022
    + more versions
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    Research Help Desk (2022). PLOS Genetics Acceptance Rate - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/acceptance-rate/596/plos-genetics
    Explore at:
    Dataset updated
    May 4, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    PLOS Genetics Acceptance Rate - ResearchHelpDesk - Genetics and genomics research has grown at a bewildering pace in the past 15 years. The techniques of these fields are being applied to a wealth of biological questions and experimental systems. PLOS Genetics reflects the full breadth and interdisciplinary nature of this research by publishing outstanding original contributions in all areas of biology. PLOS Genetics publishes human studies, as well as research on model organisms—from mice and flies, to plants and bacteria. Our emphasis is on studies of broad interest that provide significant insight into biological process or processes. Topics include (but are not limited to) gene discovery and function, population genetics, genome projects, comparative and functional genomics, medical genetics, disease biology, evolution, gene expression, complex traits, chromosome biology, and epigenetics. Criteria for Publication To be considered for publication in PLOS Genetics, any given manuscript must satisfy the following criteria: Originality High importance to researchers in the field Broad interest to researchers in genetics and genomics Rigorous methodology Substantial evidence for its conclusions For manuscripts that focus on descriptive genomics, the PLOS Genetics editors are generally most enthusiastic about those that also include innovative theoretical treatment or follow-up experimentation that reveals novel and significant biological insight. For work in which disruption of gene function in model organisms plays an important role, compelling evidence of causality and specificity is required, generally supported by mutational analysis. Experiments based on alternative approaches, e.g., morpholinos, F0 gene editing, siRNA, or shRNA, are generally not sufficient unless accompanied by rigorous and thorough justification. For manuscripts considered as part of our Methods section, the PLOS Genetics editors are most enthusiastic about methods that represent a new way of approaching a biological or biomedical question, or a substantive advance over existing approaches, and that are likely to be adopted broadly by the genetics community. We encourage methods that are computational (“dry bench”) and/or experimental (“wet bench”), and we require that the resources (source code, cell lines, model organisms) required for the method be made publicly available consistent with PLOS’ policy on Materials and Software Sharing, https://journals.plos.org/plosone/s/materials-and-software-sharing#. Open Access PLOS applies the Creative Commons Attribution (CC BY) license to works we publish. Under this license, authors agree to make articles legally available for reuse, without permission or fees, for virtually any purpose. Anyone may copy, distribute, or reuse these articles, as long as the author and original source are properly cited. Learn more. Journal Impact and Article Metrics PLOS does not consider the Impact Factor to be a reliable or useful metric to assess the performance of individual articles. PLOS supports DORA – the San Francisco Declaration on Research Assessment – and does not promote our journal Impact Factors. We will provide the metric to individuals when specifically requested. PLOS Genetics Abstracting and indexing AGRICOLA Biological Abstracts BIOSIS Previews CAB Abstracts Chemical Abstracts Service Current Contents/Life Sciences EBSCO databases Embase Index Medicus/MEDLINE/PubMed Science Citation Index Scopus The Zoological Record PLOS Genetics Publication Fee Research Article $2,575 PLOS Genetics impact factor 2019 5.175 (2019) PLOS Genetics impact factor 2018 5.224 (2018) PLOS Genetics Editorial Board Gregory S. Barsh Gregory P. Copenhaver David J. Kwiatkowski Peter McKinnon Wendy A. Bickmore John M. Greally Kirsten Bomblies Bret Payseur David Balding Chengqi Yi Hua Tang Scott M. Williams Claudia Köhler Li-Jia Qu Josep Casadesús Lotte Søgaard-Andersen Jonathan Flint Elizabeth M. C. Fisher Petra Anne Levin Christine Queitsch Thomas Shafee A. Aziz Aboobaker Devin Absher Julie Ahringer Joshua M. Akey Kaveh Ashrafi Karen B. Avraham Marisa S. Bartolomei Adam Bass David R. Beier Marnie Blewitt Melanie Blokesch Giovanni Bosco Jürgen Brosius Carmen Buchrieser Alex Buerkle Geraldine Butler Ken M. Cadigan Jackson Champer Andrew D. Chisholm Bruce E. Clurman Gitta Coaker Paula Cohen Mónica P. Colaiácovo Maralice Conacci-Sorrell Frank Conlon Gregory M. Cooper Heather J. Cordell Chris Cotsapas Gregory A. Cox Visit for more editorial member : https://journals.plos.org/plosgenetics/s/editorial-board

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    Learn how you can add new datasets to our index.

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(2025). International Journal of Open Source Software and Processes - impact-factor [Dataset]. https://exaly.com/journal/37760/international-journal-of-open-source-software-and-processes

International Journal of Open Source Software and Processes - impact-factor

Explore at:
json, csvAvailable download formats
Dataset updated
Nov 1, 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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