方法对比
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| 领域图谱科学计量分析× | 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≠ | 2000s (mature form); roots in 1960s-1970s scientometrics | 1963 |
| 提出者≠ | Kevin Boyack, Richard Klavans, Katy Borner (field-level science mapping); broader tradition rooted in Derek de Solla Price and Henry Small | Melvin M. Kessler |
| 类型≠ | Quantitative bibliometric analysis | Method |
| 开创性文献≠ | Boyack, K. W., Klavans, R., & Borner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374. DOI ↗ | Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131. DOI ↗ |
| 别名≠ | science field mapping, research field delineation, scientometric field analysis, knowledge domain mapping | document coupling, bibliographic similarity |
| 相关≠ | 6 | 5 |
| 摘要≠ | Field-mapping scientometric analysis uses quantitative bibliometric techniques — co-citation, bibliographic coupling, co-authorship, and keyword co-occurrence — to delineate the intellectual structure and boundaries of a scientific field. By transforming large publication datasets into similarity networks and clustering them into research fronts and knowledge bases, it produces visual maps that reveal how subfields relate, where boundaries lie, and how the field evolves over time. | 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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