An overview of fuzzy research with bibliometric indicators

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 th...

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Published inApplied soft computing Vol. 27; pp. 420 - 433
Main Authors Merigó, José M., Gil-Lafuente, Anna M., Yager, Ronald R.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.02.2015
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Abstract 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.
AbstractList 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.
Author Yager, Ronald R.
Merigó, José M.
Gil-Lafuente, Anna M.
Author_xml – sequence: 1
  givenname: José M.
  surname: Merigó
  fullname: Merigó, José M.
  email: jose.merigolindahl@mbs.ac.uk
  organization: Manchester Business School, University of Manchester, Booth Street West, M15 6PB Manchester, United Kingdom
– sequence: 2
  givenname: Anna M.
  surname: Gil-Lafuente
  fullname: Gil-Lafuente, Anna M.
  email: amgil@ub.edu
  organization: Department of Business Administration, University of Barcelona, Av. Diagonal 690, 08034 Barcelona, Spain
– sequence: 3
  givenname: Ronald R.
  surname: Yager
  fullname: Yager, Ronald R.
  email: yager@panix.com
  organization: Machine Intelligence Institute, Iona College, New Rochelle, NY 10801, USA
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Snippet Number of annual publications in fuzzy research (articles+reviews) since 1965. •Bibliometrics in fuzzy research.•List of most cited papers on fuzzy topics of...
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SubjectTerms Bibliometrics
Fuzzy research
H-index
Web of science
Title An overview of fuzzy research with bibliometric indicators
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