The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
An overview of fuzzy research with bibliometric indicators
Open accessAbstract
Number of annual publications in fuzzy research (articles+reviews) since 1965. Bibliometrics in fuzzy research.List of most cited papers on fuzzy topics of all time.An overview of influential authors, institutions and countries.Journal analysis in fuzzy research. Bibliometrics is a discipline that analyzes bibliographic material from a quantitative perspective. It is very useful for classifying information according to different variables, including journals, institutions and countries. This paper presents a general overview of research in the fuzzy sciences using bibliometric indicators. The main advantage is that these indicators provide a general picture, identifying some of the most influential research in this area. The analysis is divided into key sections focused on relevant journals, papers, authors, institutions and countries. Most of the results are in accordance with our common knowledge, although some unexpected results are also found. Note that the aim of this paper is to be informative, and these indicators identify most of the fundamental research in this field. However, some very influential issues may be omitted if they are not included in the Web of Science database, which is used for carrying out the bibliometric analysis.
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Citations
Cites
Zadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855
Zadeh, L. A. (1996) · Cited by 46,844
The Concept of a Linguistic Variable and Its Application to Approximate Reasoning—I
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90036-5 · Cited by 12,187
The concept of a linguistic variable and its application to approximate reasoning-III
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90017-1 · Cited by 12,139
An index to quantify an individual’s scientific research output
Hirsch, J. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507655102 · Cited by 11,669
Fuzzy sets as a basis for a theory of possibility
Zadeh, L. A. (1978) · Fuzzy Sets and Systems · doi:10.1016/0165-0114(78)90029-5 · Cited by 8,119
Fuzzy Set Theory—and Its Applications
Zimmermann, H.-J. (2001) · Springer eBooks · doi:10.1007/978-94-010-0646-0 · Cited by 7,526
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
Yager, R. R. (1988) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.87068 · Cited by 7,289
Self-citationFuzzy sets as a basis for a theory of possibility
Zadeh, L. A. (1999) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(99)80004-9 · Cited by 7,276
Fuzzy Sets and Systems - Theory and Applications
(1980) · Mathematics in Science and Engineering · doi:10.1016/s0076-5392(09)x6008-x · Cited by 6,383
Cited by
Fifty years of the European Journal of Marketing: a bibliometric analysis
Martínez-López, F. J., Merigó, J. M., Valenzuela-Fernández, L., & Nicolás, C. (2018) · European Journal of Marketing · doi:10.1108/ejm-11-2017-0853 · Cited by 572
Self-citationKnowledge management: A global examination based on bibliometric analysis
Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.07.006 · Cited by 560
Self-citationA bibliometric overview of the Journal of Business Research between 1973 and 2014
Merigó, J. M., Mas-Tur, A., Roig-Tierno, N., & Ribeiro-Soriano, D. (2015) · Journal of Business Research · doi:10.1016/j.jbusres.2015.04.006 · Cited by 511
Self-citationTwenty years of the Journal of Knowledge Management: a bibliometric analysis
Gaviria-Marin, M., Merigo, J. M., & Popa, S. (2018) · Journal of Knowledge Management · doi:10.1108/jkm-10-2017-0497 · Cited by 346
Academic research in innovation: a country analysis
Merigó, J. M., Cancino, C. A., Coronado, F., & Urbano, D. (2016) · Scientometrics · doi:10.1007/s11192-016-1984-4 · Cited by 319
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Metadata
- Authors
- Merigó, J. M., Gil-Lafuente, A. M., & Yager, R. R.
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 27
- Pages
- 420-433
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W2036575376
- Cited by
- 584
- References
- 38
- FWCI
- 23.70
- Type
- journal article
- Language
- en
- Open access
- green
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- Merigó, J. M., Gil-Lafuente, A. M., & Yager, R. R. (2015). An overview of fuzzy research with bibliometric indicators. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2014.10.035
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.
