Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Cartographie scientifique assistée par bibliometrix× | Cartographie scientifique assistée par VOSviewer× | |
|---|---|---|
| Domaine | Scientométrie | Scientométrie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 2017 | 2010 |
| Auteur d'origine≠ | Massimo Aria & Corrado Cuccurullo (bibliometrix R package) | Nees Jan van Eck & Ludo Waltman (Leiden University) |
| Type≠ | Computational bibliometric pipeline | Bibliometric mapping technique |
| Source fondatrice≠ | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. DOI ↗ | van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗ |
| Alias | bibliometrix science mapping, R-based science mapping, bibliometrix bibliometric mapping, bibliometrix-driven knowledge mapping | VOSviewer science mapping, bibliometric science mapping with VOSviewer, VOS-based science mapping, VOSviewer network mapping |
| Apparentées | 6 | 6 |
| Résumé≠ | bibliometrix-assisted science mapping is a computational approach that uses the bibliometrix R package to retrieve, clean, and analyze large bibliographic datasets, producing structured visual maps of how knowledge in a field is organized, interconnected, and evolving over time. It combines descriptive bibliometrics with network analysis and strategic clustering techniques to reveal intellectual structure, thematic frontiers, and influential actors in a research domain. | VOSviewer-assisted science mapping uses the VOSviewer software — developed at Leiden University — to construct and visualize bibliometric networks from publication metadata. It applies the VOS (Visualization of Similarities) mapping technique to reveal intellectual structures in a research field: co-authorship networks, citation landscapes, keyword clusters, and thematic frontiers, all rendered as interactive, color-coded network maps that expose how concepts, authors, and journals are relationally positioned within a discipline. |
| ScholarGateJeu de données ↗ |
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