Comparer des méthodes

	Analyse Scientométrique Assistée par bibliometrix	Analyse par couplage bibliographique
Domaine	Scientométrie	Bibliométrie
Famille	Process / pipeline	Process / pipeline
Année d'origine	2017 (bibliometrix package); scientometrics as a field: 1969	1963
Auteur d'origine	Massimo Aria & Corrado Cuccurullo (bibliometrix package); scientometrics founded by Derek J. de Solla Price	Melvin M. Kessler
Type	Quantitative literature analysis workflow	Method
Source fondatrice	Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.	Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131.
Alias	bibliometrix scientometrics, R-based scientometric analysis, bibliometrix workflow, science-of-science analysis with bibliometrix	document coupling, bibliographic similarity
Apparentées	5	5
Résumé	bibliometrix-assisted scientometric analysis is a reproducible, R-based workflow that applies the bibliometrix package to analyse the structure and dynamics of scientific fields using publication metadata. It integrates descriptive statistics, citation metrics, and network analysis — co-citation, bibliographic coupling, co-authorship, and co-word — into a single scriptable environment, enabling systematic, transparent mapping of research landscapes at scale.	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.