手法を比較

	Bibliometrix-Assisted Thematic Evolution Analysis	書誌計量分析
分野	科学計量学	科学計量学
系統	Process / pipeline	Process / pipeline
提唱年	2017 (bibliometrix package); thematic evolution approach ~2011	1969 (term coined); practice dates to 1920s–1930s
提唱者	Massimo Aria & Corrado Cuccurullo (bibliometrix package); thematic evolution method from Cobo et al.	Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)
種類	Computational scientometric workflow	Quantitative literature analysis
原典	Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.	Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349.
別名	bibliometrix thematic map analysis, R-based thematic evolution analysis, bibliometrix strategic diagram analysis, thematic evolution analysis with bibliometrix	bibliometrics, bibliometric study, bibliometric mapping, publication analysis
関連	6	6
概要	Bibliometrix-assisted thematic evolution analysis uses the bibliometrix R package to trace how research themes emerge, mature, decline, or transform across successive time periods within a scientific field. By combining co-word analysis with strategic diagram visualisation, the workflow maps the intellectual structure of a field and reveals longitudinal shifts in topic centrality and development, producing reproducible, publication-ready outputs within a single R environment.	Bibliometric analysis applies statistical and mathematical methods to bibliographic records — publications, citations, authors, journals, and keywords — to measure and map the structure, output, and intellectual evolution of a research field. It is widely used to identify influential works, prolific authors, productive journals, collaboration networks, and emerging research themes across any academic discipline.