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| 시간 분할 서지 결합× | 계량서지 분석× | |
|---|---|---|
| 분야 | 과학계량학 | 과학계량학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1963 (base method); time-sliced variant widely adopted 1990s–2000s | 1969 (term coined); practice dates to 1920s–1930s |
| 창시자≠ | Morton M. Kessler (bibliographic coupling); time-sliced extension by various scientometricians | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) |
| 유형≠ | Longitudinal bibliometric network analysis | Quantitative literature analysis |
| 원전≠ | Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10–25. DOI ↗ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ |
| 별칭 | longitudinal bibliographic coupling, temporal bibliographic coupling, diachronic bibliographic coupling, time-window bibliographic coupling | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| 관련 | 6 | 6 |
| 요약≠ | Time-sliced bibliographic coupling divides a publication corpus into successive time windows and applies bibliographic coupling analysis within each window to track how research fronts emerge, shift, merge, or disappear across time. It transforms a static snapshot technique into a longitudinal tool for mapping the intellectual evolution of a scientific field, revealing when and how new thematic clusters appear in the literature. | 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. |
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