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	Analiza ewolucji tematycznej	Analiza współcytowań
Dziedzina	Naukometria	Bibliometria
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	2011	1973
Twórca	Manuel J. Cobo and colleagues (University of Granada)	Henry Small
Typ	Quantitative bibliometric technique	Method
Źródło pierwotne	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.	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.
Inne nazwy	TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis	co-citation mapping, historiograph, direct citation, citation pair analysis
Pokrewne	6	5
Podsumowanie	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.	Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time.