Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Cuplaj bibliografic pe intervale de timp× | Analiza co-citărilor× | |
|---|---|---|
| Domeniu≠ | Scientometrie | Bibliometrie |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1963 (base method); time-sliced variant widely adopted 1990s–2000s | 1973 |
| Autorul original≠ | Morton M. Kessler (bibliographic coupling); time-sliced extension by various scientometricians | Henry Small |
| Tip≠ | Longitudinal bibliometric network analysis | Method |
| Sursa seminală≠ | Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10–25. 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 ↗ |
| Denumiri alternative | longitudinal bibliographic coupling, temporal bibliographic coupling, diachronic bibliographic coupling, time-window bibliographic coupling | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Înrudite≠ | 6 | 5 |
| Rezumat≠ | 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. | 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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