Aggregation operators in group decision making: Identifying citation classics via H-classics
Author(s) -
Francisco Javier Cabrerizo,
María Angeles Aláez Martínez,
Manuel J. Cobo,
Pedro Lázaro-Rodríguez,
Javier López Gijón,
Enrique HerreraViedma
Publication year - 2017
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2017.11.453
Subject(s) - computer science , citation , point (geometry) , field (mathematics) , quality (philosophy) , citation analysis , library science , information retrieval , epistemology , mathematics , philosophy , geometry , pure mathematics
To analyze the past, present and future of a particular research field, classic papers are usually studied because they identify the highly cited papers being a relevant reference point in that specific research area. As a result of the possible mapping between high quality research and high citation counts, highly cited papers are very interesting. The objective of this study is to use the H-classics method, which is based on the popular h-index, to identify and analyze the highly cited documents published about aggregation operators in the research area of group decision making. According to the H-classics method, this research area is represented by 87 citation classics, which have been published from 1988 to 2014. Authors, affiliations (universities/institutions and countries), journals, books and conferences, and the topics covered by these 87 highly cited papers are studied.
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