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| Bibliometrix 지원 인용 분석× | 서지 결합 분석× | |
|---|---|---|
| 분야≠ | 과학계량학 | 계량서지학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 2017 (bibliometrix package); citation analysis since 1955 | 1963 |
| 창시자≠ | Massimo Aria & Corrado Cuccurullo (bibliometrix R package); citation analysis concepts from Eugene Garfield (1955) | Melvin M. Kessler |
| 유형≠ | Quantitative bibliometric pipeline | Method |
| 원전≠ | 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 ↗ |
| 별칭≠ | bibliometrix citation analysis, R-based citation analysis, bibliometrix CA, citation analysis with bibliometrix | document coupling, bibliographic similarity |
| 관련≠ | 6 | 5 |
| 요약≠ | Bibliometrix-assisted citation analysis uses the bibliometrix R package to systematically retrieve, clean, and analyze citation data exported from major databases such as Web of Science and Scopus. By automating reference parsing, frequency counting, and network construction, it enables researchers to identify the most-cited works, map intellectual influence, and trace the evolution of scholarly fields at a scale that manual analysis cannot match. | 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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