方法对比

	时间切片主题演化分析	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	2011–2012	1969 (term); 1963 (Price's foundational work)
提出者	Cobo, López-Herrera, Herrera-Viedma & Herrera	V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods)
类型	Longitudinal bibliometric analysis	Quantitative literature analysis
开创性文献	Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402.	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	longitudinal thematic mapping, temporal thematic evolution, time-period thematic analysis, diachronic science mapping	scientometrics, science of science, quantitative science studies, research evaluation analysis
相关	6	6
摘要	Time-sliced thematic evolution analysis is a bibliometric method that divides a corpus of publications into consecutive time windows and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By applying co-word analysis and strategic-diagram mapping within each slice and then linking themes across slices, it reveals the intellectual trajectory of a research field 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.