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Cited by 1,675

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Software tools for conducting bibliometric analysis in science: An up-to-date review

Open access
Moral-Muñoz, José A., Herrera-Viedma, Enrique, Santisteban-Espejo, Antonio, Cobo, Manuel J.·2020·El Profesional de la Información

Abstract

Bibliometrics has become an essential tool for assessing and analyzing the output of scientists, cooperation between universities, the effect of state-owned science funding on national research and development performance and educational efficiency, among other applications. Therefore, professionals and scientists need a range of theoretical and practical tools to measure experimental data. This review aims to provide an up-to-date review of the various tools available for conducting bibliometric and scientometric analyses, including the sources of data acquisition, performance analysis and visualization tools. The included tools were divided into three categories: general bibliometric and performance analysis, science mapping analysis, and libraries; a description of all of them is provided. A comparative analysis of the database sources support, pre-processing capabilities, analysis and visualization options were also provided in order to facilitate its understanding. Although there are numerous bibliometric databases to obtain data for bibliometric and scientometric analysis, they have been developed for a different purpose. The number of exportable records is between 500 and 50,000 and the coverage of the different science fields is unequal in each database. Concerning the analyzed tools, Bibliometrix contains the more extensive set of techniques and suitable for practitioners through Biblioshiny. VOSviewer has a fantastic visualization and is capable of loading and exporting information from many sources. SciMAT is the tool with a powerful pre-processing and export capability. In views of the variability of features, the users need to decide the desired analysis output and chose the option that better fits into their aims.

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Metadata

Authors
Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J.
Venue
El Profesional de la Información
Published
2020-01-19
Volume
29
Issue
1
ISSN
  • 1386-6710 (ISSN-L)
  • 1699-2407
OpenAlex
W3001491100
Cited by
1,675
References
5
FWCI
92.91
Type
journal article
Language
es
Open access
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CoChat. (2026). Citation check: Software tools for conducting bibliometric analysis in science: An up-to-date review. https://app.cochat.ai/papers/10.3145/epi.2020.ene.03
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Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. El Profesional de la Información. https://doi.org/10.3145/epi.2020.ene.03

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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.