方法对比

	领域图谱科学计量分析	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	2000s (mature form); roots in 1960s-1970s scientometrics	1969 (term); 1963 (Price's foundational work)
提出者	Kevin Boyack, Richard Klavans, Katy Borner (field-level science mapping); broader tradition rooted in Derek de Solla Price and Henry Small	V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods)
类型	Quantitative bibliometric analysis	Quantitative literature analysis
开创性文献	Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374.	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	science field mapping, research field delineation, scientometric field analysis, knowledge domain mapping	scientometrics, science of science, quantitative science studies, research evaluation analysis
相关	6	6
摘要	Field-mapping scientometric analysis uses quantitative bibliometric techniques — co-citation, bibliographic coupling, co-authorship, and keyword co-occurrence — to delineate the intellectual structure and boundaries of a scientific field. By transforming large publication datasets into similarity networks and clustering them into research fronts and knowledge bases, it produces visual maps that reveal how subfields relate, where boundaries lie, and how the field evolves over time.	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.