方法对比

	基于网络的共被引分析	科学计量分析
领域	科学计量学	科学计量学
方法族	Process / pipeline	Process / pipeline
起源年份	1973 (co-citation); network-analytic extension widely adopted 2000s–2010s	1969 (term); 1963 (Price's foundational work)
提出者	Henry Small (co-citation foundation); network visualization extended by Chaomei Chen and others	V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods)
类型	Bibliometric network analysis	Quantitative literature analysis
开创性文献	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.	Nalimov, V. V., & Mulchenko, Z. M. (1969). Naukometriya: Izucheniye razvitiya nauki kak informatsionnogo protsessa [Scientometrics: The Study of the Development of Science as an Information Process]. Nauka.
别名	co-citation network analysis, bibliometric network co-citation, co-citation mapping, CCA network approach	scientometrics, science of science, quantitative science studies, research evaluation analysis
相关	6	6
摘要	Network-based co-citation analysis is a bibliometric technique that measures how often pairs of documents are cited together by later works, then models those relationships as a weighted network. Nodes represent documents (or authors or journals), edges represent co-citation frequency, and network algorithms identify clusters of intellectually related literature. It is widely used in systematic and scoping reviews to map the intellectual structure of a research field.	Scientometric analysis applies statistical and computational methods to publication and citation data to measure the growth, structure, and impact of scientific fields. Drawing on databases such as Web of Science, Scopus, or OpenAlex, it quantifies output trends, identifies leading authors and institutions, maps intellectual networks, and evaluates research impact — transforming large bibliographic corpora into evidence-based portraits of how knowledge develops and spreads.