Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Analyse bibliométrique assistée par bibliometrix× | Analyse par couplage bibliographique× | |
|---|---|---|
| Domaine≠ | Scientométrie | Bibliométrie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 2017 | 1963 |
| Auteur d'origine≠ | Massimo Aria and Corrado Cuccurullo (bibliometrix R package) | Melvin M. Kessler |
| Type≠ | Quantitative review method with software toolkit | Method |
| Source fondatrice≠ | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. DOI ↗ | Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131. DOI ↗ |
| Alias≠ | bibliometrix bibliometric analysis, R-based bibliometric analysis, bibliometrix workflow, bibliometrix package analysis | document coupling, bibliographic similarity |
| Apparentées≠ | 6 | 5 |
| Résumé≠ | bibliometrix-assisted bibliometric analysis is a structured quantitative approach to mapping a scientific field using the bibliometrix R package. Developed by Aria and Cuccurullo (2017), it provides an integrated environment for importing bibliographic records from Scopus or Web of Science, computing performance indicators, building co-authorship and citation networks, and generating thematic maps — all within a reproducible R or Shiny workflow. | 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. |
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