Σύγκριση μεθόδων

	Ανάλυση Χρονικά Τμηματοποιημένης Θεματικής Εξέλιξης	Ανάλυση Θεματικής Εξέλιξης
Πεδίο	Επιστημομετρία	Επιστημομετρία
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2011–2012	2011
Δημιουργός	Cobo, López-Herrera, Herrera-Viedma & Herrera	Manuel J. Cobo and colleagues (University of Granada)
Τύπος	Longitudinal bibliometric analysis	Quantitative bibliometric technique
Θεμελιώδης πηγή	Cobo, M. J., López-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.	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.
Εναλλακτικές ονομασίες	longitudinal thematic mapping, temporal thematic evolution, time-period thematic analysis, diachronic science mapping	TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis
Συναφείς	6	6
Σύνοψη	Time-sliced thematic evolution analysis is a bibliometric method that divides a corpus of publications into consecutive time windows and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By applying co-word analysis and strategic-diagram mapping within each slice and then linking themes across slices, it reveals the intellectual trajectory of a research field over time.	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.