Aggregation operators in group decision making: Identifying citation classics via H-classics Cabrerizo, F.J. Martínez Sánchez, María Ángeles Cobo Martín, Manuel Jesús Lázaro-Rodríguez, Pedro López Gijón, Javier Herrera Viedma, Enrique Citation classics H-classics H-index Aggregation operators Group decision making 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. 2018-05-30T09:10:29Z 2018-05-30T09:10:29Z 2017 info:eu-repo/semantics/article Cabrerizo, F.J.; et. al. Aggregation operators in group decision making: Identifying citation classics via H-classics. Procedia Computer Science 122 (2017) 902–909 [http://hdl.handle.net/10481/51194] http://hdl.handle.net/10481/51194 10.1016/j.procs.2017.11.453 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España Elsevier