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 accessAbstract
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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Citations
Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
bibliometrix: An R-tool for comprehensive science mapping analysis
Aria, M., & Cuccurullo, C. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2017.08.007 · Cited by 16,064
van Raan, A. F. J. (2004) · Scientometrics · doi:10.1023/b:scie.0000018543.82441.f1 · Cited by 579
Dimensions: A competitor to Scopus and the Web of Science?
Thelwall, M. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.03.006 · Cited by 294
An Evaluation of Web of Science, Scopus and Google Scholar Citations in Operations Management
Chapman, K., & Ellinger, A. E. (2019) · The International Journal of Logistics Management · doi:10.1108/ijlm-04-2019-0110 · Cited by 55
Cited by
Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World
Pranckutė, R. (2021) · Publications · doi:10.3390/publications9010012 · Cited by 2,696
How to design bibliometric research: an overview and a framework proposal
Öztürk, O., Kocaman, R., & Kanbach, D. K. (2024) · Review of Managerial Science · doi:10.1007/s11846-024-00738-0 · Cited by 719
A method for analyzing text using VOSviewer
Bukar, U. A., Sayeed, M. S., Razak, S. F. A., Yogarayan, S., Amodu, O. A., & Mahmood, R. A. R. (2023) · MethodsX · doi:10.1016/j.mex.2023.102339 · Cited by 459
Bibliometric analysis: A few suggestions
Hassan, W., & Duarte, A. E. (2024) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2024.102640 · Cited by 303
Klarin, A. (2024) · International Journal of Consumer Studies · doi:10.1111/ijcs.13031 · Cited by 292
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
- diamond
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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
Data sources
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.