Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Cartografiere științifică asistată de bibliometrix× | Analiza co-citărilor× | |
|---|---|---|
| Domeniu≠ | Scientometrie | Bibliometrie |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 2017 | 1973 |
| Autorul original≠ | Massimo Aria & Corrado Cuccurullo (bibliometrix R package) | Henry Small |
| Tip≠ | Computational bibliometric pipeline | Method |
| Sursa seminală≠ | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. DOI ↗ | Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. DOI ↗ |
| Denumiri alternative | bibliometrix science mapping, R-based science mapping, bibliometrix bibliometric mapping, bibliometrix-driven knowledge mapping | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Înrudite≠ | 6 | 5 |
| Rezumat≠ | 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. | Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time. |
| ScholarGateSet de date ↗ |
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