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An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field

Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., Herrera, F.·2011·Journal of Informetrics
DOI 10.1016/j.joi.2010.10.002
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Metadata

Authors
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F.
Venue
Journal of Informetrics
Publisher
Elsevier BV
Published
2011-01
Volume
5
Issue
1
Pages
146-166
ISSN
1751-1577 (ISSN-L)
DOI
10.1016/j.joi.2010.10.002
OpenAlex
W2135455887
Cited by
2,733
References
3
FWCI
5.62
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. https://app.cochat.ai/papers/10.1016/j.joi.2010.10.002
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Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics. https://doi.org/10.1016/j.joi.2010.10.002

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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.