Comparer des méthodes

	Analyse de la co-occurrence de mots-clés	Analyse par couplage bibliographique
Domaine	Bibliométrie	Bibliométrie
Famille	Process / pipeline	Process / pipeline
Année d'origine	2000s	1963
Auteur d'origine	Bibliometric research community	Melvin M. Kessler
Type	Method	Method
Source fondatrice	Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. Journal of Informetrics, 5(1), 146–166.	Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131.
Alias	term co-occurrence, keyword network analysis, thematic analysis, term clustering	document coupling, bibliographic similarity
Apparentées	4	5
Résumé	Keyword co-occurrence analysis is a text mining and bibliometric method that identifies research themes and their relationships by analyzing how frequently terms or keywords appear together in abstracts, titles, or indexed keywords of scientific publications. When two keywords appear together frequently, they are considered co-occurring, indicating a shared thematic or conceptual relationship. This method rapidly reveals the topical structure of a research field without relying on formal classifications, making it particularly useful for detecting emerging research areas and understanding disciplinary boundaries.	Bibliographic coupling is a method that identifies intellectual relationships between documents by measuring their shared references. Two papers are considered 'coupled' when they cite the same sources, indicating they address related research questions or draw from the same conceptual foundations. Introduced by Kessler in 1963, this approach enables researchers to map knowledge domains and discover thematically similar publications without relying on subject cataloging or keywords.