VOSviewer

VOSviewer
Name	VOSviewer
Developer	Centre for Science and Technology Studies, Leiden University
Released	2009
Programming language	Java
Operating system	Cross-platform
License	Freeware

VOSviewer is a software tool for constructing and visualizing bibliometric networks. It is widely used in bibliometrics, scientometrics, and research evaluation communities to map relationships among publications, authors, journals, institutions, and keywords. The tool supports visualization of co-authorship, co-occurrence, citation, bibliographic coupling, and co-citation networks and integrates with major bibliographic databases.

Overview

VOSviewer was created at the Centre for Science and Technology Studies at Leiden University by researchers including Nees Jan van Eck and Ludo Waltman, with early dissemination through conferences such as the International Society for Scientometrics and Informetrics meetings and journals like Journal of Informetrics and Scientometrics. The software complements other bibliometric tools and infrastructures such as Scopus, Web of Science, Google Scholar, Dimensions, and Crossref while integrating ideas from network analysis used in projects linked to CiteSeerX, PubMed, and ArXiv. VOSviewer’s development aligns with research themes explored at institutions such as MIT, Stanford University, University of Oxford, Max Planck Society, and Chinese Academy of Sciences.

Features and Functionality

VOSviewer allows creation of maps based on bibliographic data to reveal patterns among entities like authors, journals, institutions, and keywords. Key features include clustering algorithms influenced by techniques from Mark Newman’s community detection and modularity research, layout approaches analogous to work by Fruchterman–Reingold and Kamada–Kawai, and labeling strategies reflecting contributions from scholars at ETH Zurich and University of California, Berkeley. The software supports interactive exploration with zooming and panning similar to interfaces developed by teams at Google and Microsoft Research. Additional utilities include network merging, thesaurus-based term normalization inspired by methods used by PubMed curators and entity disambiguation approaches related to projects at ORCID and ResearcherID.

Data Sources and File Formats

VOSviewer accepts input from major bibliographic databases and file formats used by large projects such as Clarivate, Elsevier, Wiley-Blackwell, Springer Nature, and Oxford University Press. Supported import formats include raw export files from Web of Science, Scopus, and Dimensions, as well as tab-delimited and comma-separated value files similar to exports used by Microsoft Excel and R Project packages developed by researchers at Harvard University and Columbia University. VOSviewer can read citation networks that resemble datasets curated by National Institutes of Health and metadata formats related to Digital Object Identifier registries administered by Crossref and DataCite.

Visualization Techniques

Visualization methods in VOSviewer include density visualization, network visualization, and overlay visualization, echoing graphical paradigms advanced by teams at University College London and Imperial College London. The density view is comparable to heatmap techniques used in publications by Edward Tufte and map projections used in geospatial work at Esri. Network visualizations employ force-based layouts and label placement heuristics related to research at Bell Labs and IBM Research, while overlay visualizations borrow temporal and metric-mapping ideas used in studies from National Science Foundation-funded projects and analytic tools developed at PLOS One research teams.

Applications and Use Cases

VOSviewer is applied in mapping research fronts, identifying influential scholars, and exploring interdisciplinary collaboration patterns in case studies involving institutions such as Harvard Medical School, Johns Hopkins University, Karolinska Institutet, University of Tokyo, and University of Melbourne. It is used by funding agencies including European Commission programs, national research councils like the National Science Foundation, and consortia collaborating with World Health Organization studies. Domains of application include analyses of topic evolution in journals such as Nature, Science, Lancet, Cell, and Proceedings of the National Academy of Sciences as well as policy-oriented evaluations at organizations like the Organization for Economic Co-operation and Development.

Development and Availability

Development of VOSviewer has been led by teams at the Centre for Science and Technology Studies with contributions from collaborators at Leiden University, with distribution through academic channels and downloadable installers for platforms supported by Oracle Corporation’s Java runtime. Releases and methodological descriptions have appeared at conferences such as the International Conference on Science and Technology Indicators and in journals including Research Policy and Journal of Informetrics. The tool is distributed as freeware alongside documentation and example datasets used in courses at institutions like University of Amsterdam and Delft University of Technology.

Reception and Criticism

VOSviewer has received positive attention in reviews published in Scientometrics and Journal of Informetrics for its usability and visualization quality, with citations in studies by scholars at University of California, Los Angeles and University of Chicago. Criticisms mirror broader debates in bibliometrics concerning database coverage raised by researchers at King's College London and University of Edinburgh, limitations in author name disambiguation discussed in work from Elsevier Research Labs, and concerns about interpretability of visual clusters noted by analysts associated with RAND Corporation and Brookings Institution. Users often compare VOSviewer with alternatives such as Gephi, CiteSpace, Pajek, and HistCite when selecting tools for large-scale bibliometric mapping.

Category:Bibliometrics