Сравнение методов

	bibliometrix-assisted co-citation analysis	Анализ совместных цитирований с помощью VOSviewer
Область	Наукометрия	Наукометрия
Семейство	Process / pipeline	Process / pipeline
Год появления	2017 (bibliometrix implementation); 1973 (co-citation concept)	1973 (co-citation); VOSviewer workflow from ~2010
Автор метода	Co-citation: Henry Small (1973); bibliometrix package: Massimo Aria & Corrado Cuccurullo (2017)	Henry Small (co-citation, 1973); Nees Jan van Eck & Ludo Waltman (VOSviewer, 2010)
Тип	Computational scientometric pipeline	Bibliometric network analysis
Основополагающий источник	Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.	Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269.
Другие названия	R bibliometrix co-citation, bibliometrix CCA, co-citation network analysis with bibliometrix, bibliometrix cocitation mapping	VOSviewer co-citation mapping, bibliometric co-citation visualization, co-citation network analysis with VOSviewer, CCA-VOSviewer
Связанные	6	6
Сводка	bibliometrix-assisted co-citation analysis combines Henry Small's co-citation measure with the open-source R package bibliometrix to map the intellectual structure of a research field. When two documents are frequently cited together by third papers, they are considered intellectually linked; the bibliometrix package automates construction of the co-citation matrix, similarity normalization, community detection, and network visualization, turning raw bibliographic exports into interpretable science maps.	VOSviewer-assisted co-citation analysis combines Henry Small's co-citation measure — counting how often two documents are jointly cited by later work — with VOSviewer's automated network construction and visual mapping capabilities. The result is a spatial map of the intellectual base of a research field, where documents that share many citing contexts cluster together, revealing foundational schools of thought and their relationships.