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.

There are now many methods available to assess the relative citation performance of peer-reviewed journals. Regardless of their individual faults and advantages, citation-based metrics are used by researchers to maximize the citation potential of their articles, and by employers to rank academic track records. The absolute value of any particular index is arguably meaningless unless compared to other journals, and different metrics result in divergent rankings. To provide a simple yet more objective way to rank journals within and among disciplines, we developed a κ-resampled composite journal rank incorporating five popular citation indices: Impact Factor, Immediacy Index, Source-Normalized Impact Per Paper, SCImago Journal Rank and Google 5-year h-index; this approach provides an index of relative rank uncertainty. We applied the approach to six sample sets of scientific journals from Ecology (n = 100 journals), Medicine (n = 100), Multidisciplinary (n = 50); Ecology + Multidisciplinary (n = 25), Obstetrics & Gynaecology (n = 25) and Marine Biology & Fisheries (n = 25). We then cross-compared the κ-resampled ranking for the Ecology + Multidisciplinary journal set to the results of a survey of 188 publishing ecologists who were asked to rank the same journals, and found a 0.68–0.84 Spearman’s ρ correlation between the two rankings datasets. Our composite index approach therefore approximates relative journal reputation, at least for that discipline. Agglomerative and divisive clustering and multi-dimensional scaling techniques applied to the Ecology + Multidisciplinary journal set identified specific clusters of similarly ranked journals, with only Nature & Science separating out from the others. When comparing a selection of journals within or among disciplines, we recommend collecting multiple citation-based metrics for a sample of relevant and realistic journals to calculate the composite rankings and their relative uncertainty windows.

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.

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

This dataset was created by Mostafa Faramin

Contents

This file contains a list of journals used to assess publication productivity of the top 10 countries across medical specialties. For the 10 medical specialties, the journal category of the 2020 Scientific Journal Rankings (SJR) was used. These journals are listed in both and PubMed. Three types of journal lists are included: a) ALL dataset, b) 30H dataset, and c) 30P dataset. For the 10 medical specialties, the ALL dataset contains all journals, the 30H dataset contains 30 journals with the highest h-index scores, and the 30P dataset contains 30 journals with the highest number of published articles. For these journals, the actual bibliographic records could be downloaded from the NIH website (http://nlm.nih.gov/databases/download/pubmed_medline.html).

The database includes information on Russian journals published by Federal universities, National Research universities and Basic universities and covers such aspects as indexing information in different bibliographic databases, volumes of indexed papers in 2018-2022, rankings in different databases, subject categories, geographical locations, numbers of issues per year, list of founders, journals sites, etc. (in total 59 variables).

ABSTRACT This article presents the results of a study on the perception of quality of Latin American business journals based on the judgment of relevant experts - senior professors with knowledge of Latin American research and journals. Forty-five journals were included in the study. The highest perceived quality scores were given to Academia (CLADEA - Uniandes), RAE (Fundação Getulio Vargas), and Innovar (Universidad Nacional de Colombia). When perceived quality was weighted by awareness, Academia, LABR-Latin American Business Review (University of San Diego - Coppead), and Innovar had the highest scores. Results complement a recent study by Ruiz-Torres, Penkova, and Villafane (2012) that focused on management journals published in Spanish. Analysis of results suggests that language and branding have an effect on the perception of journal quality. Implications for editors/publishers, tenure, promotion, research grant committees, and authors are provided.

By encouraging and requiring that authors share their data in order to publish articles, scholarly journals have become an important actor in the movement to improve the openness of data and the reproducibility of research. But how many social science journals encourage or mandate that authors share the data supporting their research findings? How does the share of journal data policies vary by discipline? What influences these journals’ decisions to adopt such policies and instructions? And what do those policies and instructions look like? We discuss the results of our analysis of the instructions and policies of 291 highly-ranked journals publishing social science research, where we studied the contents of journal data policies and instructions across 14 variables, such as when and how authors are asked to share their data, and what role journal ranking and age play in the existence and quality of data policies and instructions. We also attempt to compare our results to the results of other studies that have analyzed the policies of social science journals, although differences in the journals chosen and how each study defines what constitutes a data policy limit this comparison. We conclude that a little more than half of the journals in our study have data policies. A greater share of the economics journals have data policies and mandate sharing, followed by political science/international relations and psychology journals. Finally, we use our findings to make several recommendations: Policies should include the terms “data”, “dataset” or more specific terms that make it clear what to make available; policies should include the benefits of data sharing; journals, publishers, and associations need to collaborate more to clarify data policies; and policies should explicitly ask for qualitative data.

Conferences are an essential tool for scientific communication. In disciplines such as Computer Science, over 50% of original research results are published in conference proceedings. In this dataset, there is is a list of conference proceedings, categorized Q1 - Q4 by analogy with SJR journal quartiles. We have analyzed the role of conference proceedings in various disciplines and proposed an alternative approach to research evaluation based on conference proceedings and Scimago Journal Rank (SJR). Comparison of the resulting list in Computer Science with the CORE ranking showed a 62% match, as well as an average rank correlation of the distribution by category.

Conservation and Society Impact Factor 2024-2025 - ResearchHelpDesk - Conservation & Society Aim Conservation & Society is a peer-reviewed, interdisciplinary, open-access journal, dedicated to the advancement of the theory and practice of conservation. It aims to serve as a bridge between conservation practitioners from a wide array of disciplines and therefore seeks to disseminate work presented in an integrative and simple manner that is accessible to individuals from disciplines ranging from the natural and social sciences to the humanities. Conservation & Society Scope The journal draws on both natural and social sciences and covers basic and applied research in areas including but not restricted to political ecology, human-wildlife conflicts, decentralised conservation, conservation policy, ecosystem structure and functioning, systematics, community and species ecology, behavioural ecology, landscape ecology, restoration ecology and conservation biology. Readership The journal is of interest to academics, researchers, teachers, naturalists, policy makers, planners, resource managers and media professionals. About the Journal Conservation & Society (www.conservationandsociety.org) is a peer-reviewed interdisciplinary open access journal dedicated to the advancement of the theory and practice of conservation. The journal draws on both natural and social sciences, and covers basic and applied research in areas including but not restricted to political ecology, environmental history, anthropology and sociology, human ecology, conservation policy and governance, human-wildlife conflicts, ecosystem structure and functioning, systematics, community and species ecology, behavioural ecology, landscape ecology, restoration ecology, and conservation biology. The journal publishes submitted and commissioned articles, debates and discussions, editorials, book reviews, comments and notes, and reader feedback. Conservation & Society is of interest to academics, researchers, teachers, naturalists, policymakers, planners, and resource managers. It aims to serve as a bridge between conservation practitioners from a wide array of disciplines and therefore seeks to disseminate work presented in an integrative and simple manner that is accessible to individuals from disciplines ranging from the natural and social sciences to the humanities. The journal accepts articles addressing conservation issues the world over, with a focus on developing countries. Abstracting and Indexing Information The journal is registered with the following abstracting partners: Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Hinari, Infotrieve, National Science Library, ProQuest, TDNet, Wanfang Data The journal is indexed with, or included in, the following: DOAJ, Indian Science Abstracts, Scimago Journal Ranking, SCOPUS, Science Citation Index Expanded, Web of Science SJR Report Year SJR 2012 0.263 2013 0.779 2014 0.986 2015 0.815 2016 0.765 2017 0.811 2018 0.797 2019 0.779 2020 1.040 Cites Year Value Self Cites 2007 0 Self Cites 2008 8 Self Cites 2009 4 Self Cites 2010 14 Self Cites 2011 10 Self Cites 2012 15 Self Cites 2013 18 Self Cites 2014 11 Self Cites 2015 12 Self Cites 2016 6 Self Cites 2017 10 Self Cites 2018 10 Self Cites 2019 9 Self Cites 2020 15 Total Cites 2007 0 Total Cites 2008 20 Total Cites 2009 54 Total Cites 2010 135 Total Cites 2011 77 Total Cites 2012 140 Total Cites 2013 161 Total Cites 2014 184 Total Cites 2015 218 Total Cites 2016 163 Total Cites 2017 193 Total Cites 2018 223 Total Cites 2019 261 Total Cites 2020 324 Cites per document Year Value Cites / Doc. (4 years) 2007 0.000 Cites / Doc. (4 years) 2008 0.741 Cites / Doc. (4 years) 2009 1.000 Cites / Doc. (4 years) 2010 1.646 Cites / Doc. (4 years) 2011 1.613 Cites / Doc. (4 years) 2012 1.584 Cites / Doc. (4 years) 2013 1.880 Cites / Doc. (4 years) 2014 2.475 Cites / Doc. (4 years) 2015 2.214 Cites / Doc. (4 years) 2016 1.896 Cites / Doc. (4 years) 2017 2.235 Cites / Doc. (4 years) 2018 2.061 Cites / Doc. (4 years) 2019 2.234 Cites / Doc. (4 years) 2020 2.946 Cites / Doc. (3 years) 2007 0.000 Cites / Doc. (3 years) 2008 0.741 Cites / Doc. (3 years) 2009 1.000 Cites / Doc. (3 years) 2010 1.646 Cites / Doc. (3 years) 2011 0.917 Cites / Doc. (3 years) 2012 1.628 Cites / Doc. (3 years) 2013 1.809 Cites / Doc. (3 years) 2014 2.067 Cites / Doc. (3 years) 2015 2.247 Cites / Doc. (3 years) 2016 1.583 Cites / Doc. (3 years) 2017 1.804 Cites / Doc. (3 years) 2018 2.027 Cites / Doc. (3 years) 2019 2.231 Cites / Doc. (3 years) 2020 2.817 Cites / Doc. (2 years) 2007 0.000 Cites / Doc. (2 years) 2008 0.741 Cites / Doc. (2 years) 2009 1.000 Cites / Doc. (2 years) 2010 0.764 Cites / Doc. (2 years) 2011 1.018 Cites / Doc. (2 years) 2012 1.586 Cites / Doc. (2 years) 2013 1.750 Cites / Doc. (2 years) 2014 1.850 Cites / Doc. (2 years) 2015 1.636 Cites / Doc. (2 years) 2016 0.959 Cites / Doc. (2 years) 2017 1.714 Cites / Doc. (2 years) 2018 2.000 Cites / Doc. (2 years) 2019 2.131 Cites / Doc. (2 years) 2020 3.120 Year International Collaboration 2007 37.04 2008 29.63 2009 32.14 2010 24.14 2011 37.93 2012 58.06 2013 31.03 2014 37.84 2015 37.84 2016 21.21 2017 37.50 2018 45.45 2019 32.26 2020 44.12

Version: 6

Date of data collection: May 2025

General description: Publication of datasets according to the FAIR principles could be reached publishing a data paper (and/or a software paper) in data journals as well as in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.

File list:

- data_articles_journal_list_v6.xlsx: full list of 177 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v6.csv: full list of 177 academic journals in which data papers or/and software papers could be published
- readme_v6.txt, with a detailed descritption of the dataset and its variables.

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 6th version
- Information updated: number of journals (17 were added and 4 were deleted), URL, document types associated to a specific journal.
- Information added: diamond journals were identified.

Version: 5

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2023/09/05

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v5.xlsx: full list of 162 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v5.csv: full list of 162 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 5th version
- Information updated: number of journals, URL, document types associated to a specific journal.
163 journals (excel y csv)

Version: 4

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/12/15

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v4.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v4.csv: full list of 140 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 4th version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR), Scopus and Web of Science (WOS), Journal Master List.

Version: 3

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/10/28

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v3.xlsx: full list of 124 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_3.csv: full list of 124 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 3rd version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR).

Erratum - Data articles in journals Version 3:

Botanical Studies -- ISSN 1999-3110 -- JCR (JIF) Q2
Data -- ISSN 2306-5729 -- JCR (JIF) n/a
Data in Brief -- ISSN 2352-3409 -- JCR (JIF) n/a

Version: 2

Author: Francisco Rubio, Universitat Politècnia de València.

Date of data collection: 2020/06/23

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v2.xlsx: full list of 56 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v2.csv: full list of 56 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 2nd version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Scimago Journal and Country Rank (SJR)

Total size: 32 KB

Version 1: Description

This dataset contains a list of journals that publish data articles, code, software articles and database articles.

The search strategy in DOAJ and Ulrichsweb was the search for the word data in the title of the journals.
Acknowledgements:
Xaquín Lores Torres for his invaluable help in preparing this dataset.

We consider the 36 journals that are primarily classified in the field of ecology according to the ISI. We rank journals according to: (i) the maximization of the multi-class AUC statistic for the steady-state distributions and (ii) the JIF; q̅ and σ are the model parameters obtained using ; n̅ and Q2 are the mean and median number of citations in the steady state. We also show the steady-state period.

As part of the BMBF-funded project "B!SON - Bibliometric and Semantic Open Access Recommender Network", an online survey was conducted among scientists using SoSci Survey (Leiner, 2019). The aim of the survey was to determine the importance of various characteristics of scientific journals in the decision for a publication venue by scientists. The characteristics were determined by analysis of other recommender systems, literature research and discussion with scientists. The data published here are based on 884 completed questionnaires (only questionnaires in which at least 90% of the questions had been answered were included in the analysis).

In the questionnaire, a distinction was made between those characteristics that scientists would like to use to limit the selection of eligible journals from the outset (table "B!SON_Survey_Filter_Criteria_EN") and those that scientists need for their final decision from a list of recommended journals ("B!SON_Survey_Journal_Selection_EN"). For each journal property, the respondents could choose between the categories of a 5-point Likert scale: "not at all important - not very important - somewhat important - very important - extremely important". If the scientists were not able to evaluate a characteristic, they could also select "I can't say".

In the two tables of results, the approval percentage and the rank based on it are listed for all journal properties queried in the respective part of the survey. The approval percentage is calculated from the percentage of people who rated the respective property as "very important" or "extremely important". Approval rate and rank are presented across all respondents (overall column), as well as within the 4 science disciplines by DFG (Natural Sciences, Engineering Sciences, Life Sciences, Humanities and Social Sciences) and the category "Other Sciences".

Both tables can be sorted by approval rate and rank per scientific discipline or across disciplines.

Note on the use of the HTML files: These can be downloaded via the download button and then opened and viewed with any web browser.

A German version of the results tables is available under https://doi.org/10.5281/zenodo.5412197.

This file contains metadata from the 40 most impactful journals in the field of distance education, selected through a rigorous bibliometric analysis using the SCImago Journal Rank (SJR) indicator provided by SCImago. Two main criteria guided the selection: the first targeted journals ranked in Q1 and Q2 in the specific category of "e-learning" within the social sciences and education area, highlighting publications that demonstrate high impact and relevance in the academic community according to the selected indicator. The second criterion was based on keyword searches in the journal titles, selecting those that include terms like e-learning, online, Distance Education, Technology Learning, Communications in Information, and Information Education and their variants (e.g., plural), also positioned in Q1 or Q2.

The metadata, extracted from the Scopus database, covers publications from the period 2018 to 2022 and includes vital information such as document type, authors' names, article title, journal name, publication year, pages, volume, and issue number. Additionally, each article is identified by a Digital Object Identifier (DOI) and URLs for direct access to the full text online, along with abstracts and keywords. These elements together provide a comprehensive and accessible view of the articles, facilitating bibliometric analyses and related academic research.

This compilation serves as an essential resource for researchers and educators interested in understanding the dynamics and development of the field of distance education, offering a solid foundation for future investigations and the formulation of evidence-based educational policies.

Context

An Excel dataset for Sciamgo Journal and Country Rank data for Energy Engineering and Power Technology.

This statistic illustrates the ranking of science magazines in France in 2015, by monthly circulation volume. In 2015, Sciences & Vie was at the top of this ranking with around 250,000 copies sold per publication in France.

We consider the 13 journals that are primarily classified in the field of experimental psychology according to the ISI. We rank journals according to: (i) the maximization of the multi-class AUC statistic for the steady-state distributions and (ii) the JIF; q̅ and σ are the model parameters obtained using ; n̅ and Q2 are the mean and median number of citations in the steady state. We also show the steady-state period.

Journal of Orofacial Sciences Acceptance Rate - ResearchHelpDesk - Journal of Orofacial Sciences, a publication of Sibar Institute of Dental Sciences, is a peer-reviewed online journal with Semiannual print on demand compilation of issues published. The journal’s full text is available online at www.jofs.in. The journal allows free access (Open Access) to its contents and permits authors to self-archive final accepted version of the articles on any OAI-compliant institutional / subject-based repository. The journal does not charge for submission, processing or publication of manuscripts and even for color reproduction of photographs. Abstracting and Indexing Information The journal is registered with the following abstracting partners: Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Hinari, Infotrieve, National Science Library, ProQuest, TdNet, Wanfang Data The journal is indexed with, or included in, the following: DOAJ, Indian Science Abstracts, Scimago Journal Ranking, SCOPUS

Tunisia's Number published in scientific and technical journals is 5,565[Number] which is the 49th highest in the world ranking. Transition graphs on Number published in scientific and technical journals in Tunisia and comparison bar charts (USA vs. China vs. Japan vs. Tunisia), (Rwanda vs. Benin vs. Tunisia) are used for easy understanding. Various data can be downloaded and output in csv format for use in EXCEL free of charge.