Comparer des méthodes

	Analyse des citations par tranches temporelles	Analyse thématique d'évolution
Domaine	Scientométrie	Scientométrie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1955–1965 (foundational); temporal slicing formalized in scientometrics from the 1980s onward	2011
Auteur d'origine	Eugene Garfield (citation analysis foundation); Derek J. de Solla Price (temporal/longitudinal framing)	Manuel J. Cobo and colleagues (University of Granada)
Type	Quantitative scientometric technique	Quantitative bibliometric technique
Source fondatrice	Garfield, E. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science, 122(3159), 108–111.	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.
Alias	temporal citation analysis, longitudinal citation analysis, time-window citation analysis, diachronic citation analysis	TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis
Apparentées	6	6
Résumé	Time-sliced citation analysis partitions a body of literature into sequential temporal windows — for example, five-year intervals — and performs citation analysis within and across each window. This reveals how citation patterns, influential papers, and knowledge flows shift over time, providing a dynamic picture of a field's intellectual evolution rather than a static aggregate snapshot.	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.