手法を比較
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| bibliometrix を利用したサイエンスマッピング× | 書誌カップリング分析× | |
|---|---|---|
| 分野≠ | 科学計量学 | 計量書誌学 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 2017 | 1963 |
| 提唱者≠ | Massimo Aria & Corrado Cuccurullo (bibliometrix R package) | Melvin M. Kessler |
| 種類≠ | Computational bibliometric pipeline | Method |
| 原典≠ | 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 ↗ |
| 別名≠ | bibliometrix science mapping, R-based science mapping, bibliometrix bibliometric mapping, bibliometrix-driven knowledge mapping | document coupling, bibliographic similarity |
| 関連≠ | 6 | 5 |
| 概要≠ | 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. | 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. |
| ScholarGateデータセット ↗ |
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