Vertaile menetelmiä

	Temaattisen kehityksen analyysi	Tieteen kartoitus
Tieteenala	Scientometriikka	Bibliometriikka
Menetelmäperhe	Process / pipeline	Process / pipeline
Syntyvuosi	2011	2000s
Kehittäjä	Manuel J. Cobo and colleagues (University of Granada)	Katy Börner, Chaomei Chen, and others
Tyyppi	Quantitative bibliometric technique	Method
Alkuperäislähde	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.	Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255.
Rinnakkaisnimet	TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis	knowledge mapping, domain mapping, research landscape visualization
Liittyvät	6	5
Tiivistelmä	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.	Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning.