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| Phân tích trích dẫn theo lát cắt thời gian× | Phân tích đồng trích dẫn (Co-Citation Analysis)× | |
|---|---|---|
| Lĩnh vực≠ | Trắc lượng khoa học | Trắc lượng thư mục |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1955–1965 (foundational); temporal slicing formalized in scientometrics from the 1980s onward | 1973 |
| Người khởi xướng≠ | Eugene Garfield (citation analysis foundation); Derek J. de Solla Price (temporal/longitudinal framing) | Henry Small |
| Loại≠ | Quantitative scientometric technique | Method |
| Công trình gốc≠ | Garfield, E. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science, 122(3159), 108–111. DOI ↗ | 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 ↗ |
| Tên gọi khác | temporal citation analysis, longitudinal citation analysis, time-window citation analysis, diachronic citation analysis | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Liên quan≠ | 6 | 5 |
| Tóm tắt≠ | Time-sliced citation analysis partitions a body of literature into sequential temporal windows — for example, five-year intervals — and performs citation analysis within and across each window. This reveals how citation patterns, influential papers, and knowledge flows shift over time, providing a dynamic picture of a field's intellectual evolution rather than a static aggregate snapshot. | 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. |
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