Σύγκριση μεθόδων

	Ανάλυση Χρονικά Τμηματοποιημένης Θεματικής Εξέλιξης	Βιβλιομετρική Ανάλυση
Πεδίο	Επιστημομετρία	Επιστημομετρία
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2011–2012	1969 (term coined); practice dates to 1920s–1930s
Δημιουργός	Cobo, López-Herrera, Herrera-Viedma & Herrera	Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)
Τύπος	Longitudinal bibliometric analysis	Quantitative literature analysis
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.	Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349.
Εναλλακτικές ονομασίες	longitudinal thematic mapping, temporal thematic evolution, time-period thematic analysis, diachronic science mapping	bibliometrics, bibliometric study, bibliometric mapping, publication 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.	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.