Scimago Lab

Scimago Lab
Name	Scimago Lab
Type	Research group
Founded	2007
Location	Spain
Fields	Bibliometrics; Scientometrics; Information science

Scimago Lab is a research group and analytics initiative known for producing bibliometric indicators and science mapping tools. It is best known for publishing the Scimago Journal & Country Rank (SJR) and global research indicators used by libraries, universities, publishers, and governments. The lab's outputs intersect with bibliometrics communities and inform policy debates about research evaluation and scholarly communication.

Overview

Scimago Lab produces bibliometric rankings and visualizations that aggregate data on scholarly journals, institutions, and countries derived from large scholarly databases. Its suite of products has been cited in discussions involving Clarivate Analytics, Elsevier, Thomson Reuters, Springer Nature, and CrossRef stakeholders, and is referenced alongside tools from Google Scholar, Web of Science, and Dimensions (database). The Lab's metrics are applied in benchmarking exercises by organizations such as United Nations Educational, Scientific and Cultural Organization, Organisation for Economic Co-operation and Development, World Bank, and national research agencies including Consejo Superior de Investigaciones Científicas and ministries across Europe and Latin America.

Methodology and Data Sources

The Lab builds indicators from bibliographic metadata and citation networks indexed primarily in the Scopus database, integrating publisher and institutional identifiers similar to those used by ORCID, Digital Object Identifier, and CrossRef. Its methods include normalization procedures related to subject classification schemes comparable to those of Journal Citation Reports and taxonomies used by Medical Subject Headings and Library of Congress Classification. Data processing involves algorithms for fractional counting and field-weighted normalizations discussed in literature alongside contributions from researchers at Leiden University, University of California, Berkeley, University of Oxford, Massachusetts Institute of Technology, and Stanford University. The Lab's citations-based approach references prior methodological frameworks from scholars associated with Eugene Garfield, Diana Hicks, Loet Leydesdorff, and Henk Moed.

SJR and Other Indicators

The Scimago Journal Rank (SJR) indicator is a prestige-weighted metric that accounts for the citation networks among journals, akin to eigenvector centrality methods used in studies by Pieter Drenth and network analyses seen in publications from Nature and Science (journal). SJR is often compared with the Impact factor provided by Clarivate Analytics and with the Eigenfactor score. Additional indicators produced include country-level output metrics, subject-area categorizations, and metrics adjusted for international collaboration, which are used in comparative studies with datasets from Eurostat, UNESCO Institute for Statistics, and National Science Foundation. The Lab also provides metrics that reflect collaboration patterns referenced in research by scholars from Harvard University, Columbia University, Johns Hopkins University, and Karolinska Institutet.

Applications and Impact

Scimago Lab's rankings and visualizations are used in institutional benchmarking, library collection development, grant assessment, and national research evaluation exercises, often cited alongside reports from European Commission, Horizon 2020, Horizon Europe, and sector reviews by Academic Medicine and The Lancet. Universities such as University of Cambridge, University of Oxford, Harvard University, University of Tokyo, Peking University, and University of São Paulo have appeared in analyses that utilize the Lab's indicators. Policymakers and research managers from agencies like Wellcome Trust, Bill & Melinda Gates Foundation, and Gates Foundation have used comparable bibliometric evidence for strategic decision-making. The Lab's visual tools inform network studies in collaborations among institutions such as Max Planck Society, Chinese Academy of Sciences, CNRS, and Riken.

Criticism and Limitations

Critiques of the Lab's outputs echo broader debates in scientometrics concerning coverage bias, field normalization, and the use of citation metrics in assessment. Scholars affiliated with DORA, Leiden Manifesto signatories, and commentators in journals such as Nature Human Behaviour and Research Policy have highlighted risks when relying solely on citation-based indicators like SJR. Concerns include differential indexing of journals across Scopus and Web of Science, language and regional biases noted in analyses involving Latin America, Africa, and smaller research systems, and potential distortion of incentives described in work by Philippe Abrami, Michael Hicks, and Stevan Harnad. Methodological limitations also relate to author disambiguation challenges that echo problems addressed by ORCID and research on researcher identifiers by ISNI proponents.

Organizational Structure and History

Founded in the late 2000s, the Lab emerged in a period of rapid growth in digital bibliographic databases and scientometric research, contemporaneous with initiatives from Elsevier and the expansion of Scopus coverage. Its outputs have been iteratively refined in response to methodological debates in forums convened by International Society for Scientometrics and Informetrics, European Association for Research on Learning and Instruction, and conferences such as the International Conference on Scientometrics and Informetrics. Collaborations and critiques have involved scholars and institutions including Universitat de Barcelona, CSIC, University of Granada, and international partners across Latin America, Europe, and Asia. The Lab continues to influence bibliometric practice and discussion within the scholarly communication ecosystem.

Category:Bibliometrics