方法对比
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| 文献计量分析× | 共被引分析× | |
|---|---|---|
| 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 coined); practice dates to 1920s–1930s | 1973 |
| 提出者≠ | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) | Henry Small |
| 类型≠ | Quantitative literature analysis | Method |
| 开创性文献≠ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ | 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 ↗ |
| 别名 | bibliometrics, bibliometric study, bibliometric mapping, publication analysis | co-citation mapping, historiograph, direct citation, citation pair analysis |
| 相关≠ | 6 | 5 |
| 摘要≠ | Bibliometric analysis applies statistical and mathematical methods to bibliographic records — publications, citations, authors, journals, and keywords — to measure and map the structure, output, and intellectual evolution of a research field. It is widely used to identify influential works, prolific authors, productive journals, collaboration networks, and emerging research themes across any academic discipline. | 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. |
| ScholarGate数据集 ↗ |
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