Academic journals indicators developed from the information contained in the Scopus database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains.

Abstract and indexing database with full text links that is produced by Elsevier Co. Combines expertly curated abstract and citation database with enriched data and linked scholarly literature across wide variety of disciplines.

More than ten thousand of references collected from Scopus academic research database, with 41 fields, with characteristic of each reference, such as: title, authors, number of citations, year of publication, journal, among others. The data was worked with R programming for statistical analysis and clustering.

The dataset file export from scopus database and the dataset file export as bibliometrix file on excel format from biblioshiny.

Country scientific indicators developed from the information contained in the Scopus® database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains. Country rankings may be compared or analysed separately. Indicators offered for each country: H Index, Documents, Citations, Citation per Document and Citable Documents.

etc)

Scopus is the largest abstract and citation database of peer-reviewed literature: scientific journals, books and conference proceedings. Delivering a comprehensive overview of the world's research output in the fields of science, technology, medicine, social sciences, and arts and humanities, Scopus features smart tools to track, analyze and visualize research.

Data extraction from Scopus database for article review in the domain of Supply chain risk management

This is a file with a CSV format that contains 3,049 citation data in the field of energy simulation, extracted from the Scopus citation database. Researchers have used this file to conduct bibliometric research.

Scopus coverage updates (2011-2018) Data aggregated from Elsevier title list files; it provides: - source ID in Scopus - Title - ISSN - ESSN - Year of the title list file used as source - SNIP - Open access status - Status in the database (Added, previously indexed) - Filed - Subfield - ASJC code

This is a dataset that has been obtained from the Scopus database as of 7 October 2020. This dataset is gathered based on the following search query: TITLE ( "e-commerce" OR "electronic commerce" OR "e commerce" OR "ecommerce" ). It can be used to map the research on e-commerce using bibliometrics analysis from 1992 until 2020. There are 9 parts of this dataset and it has been prepared in CSV and RIS format. The data in CSV format can be opened and analysed using applications such as Microsoft Excel. It also can be opened using VOSviewer for constructing and visualizing bibliometric networks. While the data in RIS format can be opened using any reference manager software such as EndNote or Mendeley Desktop and Harzing's Publish or Perish to be further analysed.

The global market for academic research databases is experiencing robust growth, projected to be valued at $259.3 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 5.9% from 2025 to 2033. This expansion is driven by several key factors. The increasing digitization of scholarly publications and the growing reliance on online research resources across universities, research institutions, and corporations are significant contributors. Furthermore, the expanding availability of open-access journals and repositories, while presenting challenges to some established players, ultimately broadens the overall market by increasing accessibility and usage. The rising demand for advanced search functionalities, data analytics tools integrated within these databases, and robust citation management systems also fuels market growth. Different subscription models, including free and charge-based access, cater to diverse user needs – students, teachers, experts, and others – further driving market segmentation and overall growth. The North American market currently holds a significant share due to the presence of major research institutions and established database providers. However, increasing research activities in Asia-Pacific and other regions are poised to fuel future growth, with a potentially significant increase in the market share in these regions over the forecast period. Competition remains intense among established players like Scopus, Web of Science, and PubMed, alongside newer entrants. Differentiation through superior indexing, advanced search capabilities, and specialized content areas is vital for success in this competitive landscape. The market segmentation by application (Student, Teacher, Expert, Others) and type of access (Charge, Free) provides valuable insights into the diverse user base and revenue streams. The "charge" segment is expected to maintain a significant market share, driven by the demand for comprehensive and specialized research content requiring paid subscriptions. However, the "free" segment, fueled by the increasing availability of open-access resources, will also show considerable growth, broadening accessibility and market penetration. Regional growth patterns will likely reflect existing research infrastructure and investments in higher education and research across different geographic areas. Continued technological advancements and innovation in areas such as artificial intelligence-powered search and data analysis will further shape the market landscape, leading to more sophisticated and efficient research tools in the years to come.

Database used for the bibliometric study on neurosciences and education (or pedagogy) in order to find the links with complex thinking.

This file documents the raw data and manual codings (as of July 2022) of 46 journals listed in the Scimago Journal & Country Rank for the search criteria "Subject category: Law", "Region/Country: Germany", and "Year: 2021". These data are the basis of the blog post Hamann/Emmelheinz, "Scopus/Scimago: Useless for Studying Legal Research! An Empirical Assessment of Misclassification Rates in a Popular Scientometric Data Source", Legal|Empirics blog 25 July 2022, DOI 10.25527/re.2022.02.

The data is comprised of search results of journal articles from Scopus and Web of Science databases using three Boolean search strings. The search strings are:(“certification” AND “meat”) OR (“certification” AND “dairy”)], (ii) [(“credence” AND meat) OR (“experience” AND meat)], and (iii) [(“meat” AND “intrinsic”) OR (“meat” AND “extrinsic”) OR (“meat” AND “quality cue”)]

Introduction: These datasets contain information about journals in the eight regions of the world based on United Nations SDG classification (Central& Southern Asia, Europe, Eastern &South Eastern Asia, Latin America, North Africa& Western Asia, Oceania, North America and Sub-Saharan Africa) that are indexed in Web of Science/Scopus and are available in Ulrich periodical directory. The datasets were created by matching Ulrich journal information with journal information from Web of Science and Scopus.

Data Creation: A single Web of Science master journal list was created for SSCI, SCI, AHCI and ESCI by combining and removing duplicate records from their lists; the Web of Science master journal contained 21,908 unique journals. Only active scholarly journals from Scopus were included in this study; i.e. duplicates, all inactive sources, trade journals, book series, monographs and conference proceedings were removed. 26,029 active journals of the 43,013 sources in Scopus were included. Journal lists from 239 countries were collected from Ulrich comprehensive periodical directory and analyzed by region. After removal of duplicates, this generated a database of 83,429 unique active academic journals. To compile regional and global datasets, duplicate journals in the regional and global levels, respectively, were removed. The master journal lists created from Web of Science, Scopus and Ulrich were transferred to an SQL database for querying. Journal matching was carried out in two steps. Firstly, the ISSN numbers of journals in Web of Science and Scopus were used to match journal records to Ulrich. In the second step, the remaining journals were then matched using their titles, and these matches were manually verified to reduce the chances of false positives. Using these two steps, we were able to match 20,255 (92.46%) of the journals in Web of Science, and 23,349 (89.70%) of the academic journals from Scopus, with Ulrichsweb journal list.

The dataset consists of papers published in the Arts and Humanities field from Ukrainian institutions between 2012 and 2021. The data was obtained from Scopus using the search query "AFFILCOUNTRY (Ukraine) AND SUBJAREA (ARTS) AND PUBYEAR < 2022 AND PUBYEAR > 2011". All types of documents, except for Erratum, were included in the dataset. In addition to the raw data imported from Scopus, SciVal tools were utilized to analyze the Arts and Humanities subcategories and calculate various bibliometric characteristics. It is important to note that the dataset only includes papers published by Ukrainian institutions in the Arts and Humanities field and does not necessarily represent the entirety of Ukraine research output in these areas. Furthermore, the dataset may be subject to limitations and biases inherent to the Scopus database and the specific search criteria used.

International Journal of Scientific and Technology Research Impact Factor 2024-2025 - ResearchHelpDesk - IJSTR - International Journal of Scientific & Technology Research is an open access international journal from diverse fields in sciences, engineering, and technologies Open Access that emphasizes new research, development, and applications. Papers reporting original research or extended versions of already published conference/journal papers are all welcomed. Papers for publication are selected through peer review to ensure originality, relevance, and readability. IJSTR ensures a wide indexing policy to make published papers highly visible to the scientific community. IJSTR is part of the eco-friendly community and favors e-publication mode for being an online 'GREEN journal'. IJSTR is an international peer-reviewed, electronic, online journal published monthly. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching, and research in the fields of engineering, science, and technology. Original theoretical work and application-based studies, which contribute to a better understanding of engineering, science, and technological challenges, are encouraged. IJSTR Publication Charges IJSTR covers the costs partially through article processing fees. IJSTR expenses are split among peer review administration and management, production of articles in PDF format, editorial costs, electronic composition and production, journal information system, manuscript management system, electronic archiving, overhead expenses, and administrative costs. Moreover, we are providing research paper publishing in minimum available costing such as there are no charges for rejected articles, no submission charges, and no surcharges based on the figures or supplementary data. IJSTR Publication Indexing IJSTR ​​​​​submit all published papers to indexing partners. Indexing totally depends on the content, indexing partner guidelines, and their indexing procedures. This is the reason sometimes indexing happens immediately and sometimes it takes time. Publication with IJSTR does not guarantee that paper will surely be added indexing partner website. The whole process for including any article (s) in the Scopus database is done by the Scopus team only. Journal or Publication House doesn't have any involvement in the decision whether to accept or reject a paper for the Scopus database and cannot influence the processing time of paper. International Journal of Scientific & Technology Research RG Journal Impact: 0.31 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2018 / 2019 0.31 2017 0.34 2016 0.33 2015 0.36 2014 0.19 Is Ijstr Scopus indexed? Yes IJSTR - International Journal of Scientific & Technology Research Journal is Scopus indexed. please visit for more details - IJSTR Scoups

The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators. For comparative purposes, the value of the composite indicator has been set on a scale of 0 to 100. However the line graphs and bar graphs always represent ranks (lower is better, so the highest values are the worst).

Dataset 1. Raw data retrieved from the Scopus database with a search for 20 Indonesian journals in the area of agricultural and biological sciences. Suppl. 1. List of internationally reputable journals published in Indonesia in the field of agricultural and biological sciences.