手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| Bibliometrix支援の引用分析× | 書誌計量分析× | |
|---|---|---|
| 分野 | 科学計量学 | 科学計量学 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 2017 (bibliometrix package); citation analysis since 1955 | 1969 (term coined); practice dates to 1920s–1930s |
| 提唱者≠ | Massimo Aria & Corrado Cuccurullo (bibliometrix R package); citation analysis concepts from Eugene Garfield (1955) | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) |
| 種類≠ | Quantitative bibliometric pipeline | Quantitative literature analysis |
| 原典≠ | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. DOI ↗ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ |
| 別名 | bibliometrix citation analysis, R-based citation analysis, bibliometrix CA, citation analysis with bibliometrix | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| 関連 | 6 | 6 |
| 概要≠ | Bibliometrix-assisted citation analysis uses the bibliometrix R package to systematically retrieve, clean, and analyze citation data exported from major databases such as Web of Science and Scopus. By automating reference parsing, frequency counting, and network construction, it enables researchers to identify the most-cited works, map intellectual influence, and trace the evolution of scholarly fields at a scale that manual analysis cannot match. | 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. |
| ScholarGateデータセット ↗ |
|
|