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Citation-based clustering of publications using CitNetExplorer and VOSviewer

Open access
van Eck, Nees Jan, Waltman, Ludo·2017·Scientometrics

Abstract

Clustering scientific publications in an important problem in bibliometric research. We demonstrate how two software tools, CitNetExplorer and VOSviewer, can be used to cluster publications and to analyze the resulting clustering solutions. CitNetExplorer is used to cluster a large set of publications in the field of astronomy and astrophysics. The publications are clustered based on direct citation relations. CitNetExplorer and VOSviewer are used together to analyze the resulting clustering solutions. Both tools use visualizations to support the analysis of the clustering solutions, with CitNetExplorer focusing on the analysis at the level of individual publications and VOSviewer focusing on the analysis at an aggregate level. The demonstration provided in this paper shows how a clustering of publications can be created and analyzed using freely available software tools. Using the approach presented in this paper, bibliometricians are able to carry out sophisticated cluster analyses without the need to have a deep knowledge of clustering techniques and without requiring advanced computer skills.

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Research works printed but not linked: 21

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Metadata

Authors
van Eck, N. J., & Waltman, L.
Venue
Scientometrics
Published
2017-02-27
Volume
111
Issue
2
Pages
1053-1070
ISSN
  • 0138-9130 (ISSN-L)
  • 1588-2861
OpenAlex
W2592084954
Cited by
2,664
References
3
FWCI
60.18
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Citation-based clustering of publications using CitNetExplorer and VOSviewer. https://app.cochat.ai/papers/10.1007/s11192-017-2300-7
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van Eck, N. J., & Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics. https://doi.org/10.1007/s11192-017-2300-7

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.