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| 시간 분할 인용 분석× | 계량서지 분석× | |
|---|---|---|
| 분야 | 과학계량학 | 과학계량학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1955–1965 (foundational); temporal slicing formalized in scientometrics from the 1980s onward | 1969 (term coined); practice dates to 1920s–1930s |
| 창시자≠ | Eugene Garfield (citation analysis foundation); Derek J. de Solla Price (temporal/longitudinal framing) | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) |
| 유형≠ | Quantitative scientometric technique | Quantitative literature analysis |
| 원전≠ | Garfield, E. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science, 122(3159), 108–111. DOI ↗ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ |
| 별칭 | temporal citation analysis, longitudinal citation analysis, time-window citation analysis, diachronic citation analysis | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| 관련 | 6 | 6 |
| 요약≠ | 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. | 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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