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テーマ進化分析×書誌計量分析×
分野科学計量学科学計量学
系統Process / pipelineProcess / pipeline
提唱年20111969 (term coined); practice dates to 1920s–1930s
提唱者Manuel J. Cobo and colleagues (University of Granada)Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)
種類Quantitative bibliometric techniqueQuantitative literature analysis
原典Cobo, M. J., Lopez-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. DOI ↗Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗
別名TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysisbibliometrics, bibliometric study, bibliometric mapping, publication analysis
関連66
概要Thematic evolution analysis is a bibliometric technique that divides a body of literature into consecutive time periods and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By combining co-word analysis, clustering, and strategic diagrams for each time slice, it produces a dynamic picture of a field's intellectual development rather than a static snapshot.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.
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ScholarGate手法を比較: Thematic Evolution Analysis · Bibliometric Analysis. 2026-06-17に以下より取得 https://scholargate.app/ja/compare