Comparer des méthodes

	Couplage bibliographique par tranches temporelles	Analyse thématique d'évolution
Domaine	Scientométrie	Scientométrie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1963 (base method); time-sliced variant widely adopted 1990s–2000s	2011
Auteur d'origine	Morton M. Kessler (bibliographic coupling); time-sliced extension by various scientometricians	Manuel J. Cobo and colleagues (University of Granada)
Type	Longitudinal bibliometric network analysis	Quantitative bibliometric technique
Source fondatrice	Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10–25.	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	longitudinal bibliographic coupling, temporal bibliographic coupling, diachronic bibliographic coupling, time-window bibliographic coupling	TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis
Apparentées	6	6
Résumé	Time-sliced bibliographic coupling divides a publication corpus into successive time windows and applies bibliographic coupling analysis within each window to track how research fronts emerge, shift, merge, or disappear across time. It transforms a static snapshot technique into a longitudinal tool for mapping the intellectual evolution of a scientific field, revealing when and how new thematic clusters appear in the literature.	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.