Σύγκριση μεθόδων

	Ανάλυση Θεματικής Εξέλιξης	Επιστημομετρική Ανάλυση
Πεδίο	Επιστημομετρία	Επιστημομετρία
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2011	1969 (term); 1963 (Price's foundational work)
Δημιουργός	Manuel J. Cobo and colleagues (University of Granada)	V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods)
Τύπος	Quantitative bibliometric technique	Quantitative literature analysis
Θεμελιώδης πηγή	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.	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.
Εναλλακτικές ονομασίες	TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis	scientometrics, science of science, quantitative science studies, research evaluation analysis
Συναφείς	6	6
Σύνοψη	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.	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.