方法对比
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| 科学计量分析× | 文献耦合分析× | |
|---|---|---|
| 领域≠ | 科学计量学 | 文献计量学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1969 (term); 1963 (Price's foundational work) | 1963 |
| 提出者≠ | V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods) | Melvin M. Kessler |
| 类型≠ | Quantitative literature analysis | Method |
| 开创性文献≠ | Nalimov, V. V., & Mulchenko, Z. M. (1969). Naukometriya: Izucheniye razvitiya nauki kak informatsionnogo protsessa [Scientometrics: The Study of the Development of Science as an Information Process]. Nauka. link ↗ | Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131. DOI ↗ |
| 别名≠ | scientometrics, science of science, quantitative science studies, research evaluation analysis | document coupling, bibliographic similarity |
| 相关≠ | 6 | 5 |
| 摘要≠ | Scientometric analysis applies statistical and computational methods to publication and citation data to measure the growth, structure, and impact of scientific fields. Drawing on databases such as Web of Science, Scopus, or OpenAlex, it quantifies output trends, identifies leading authors and institutions, maps intellectual networks, and evaluates research impact — transforming large bibliographic corpora into evidence-based portraits of how knowledge develops and spreads. | 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数据集 ↗ |
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