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支援による計量書誌学的分析× | 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 | 1969 (term coined); practice dates to 1920s–1930s |
| 提唱者≠ | Massimo Aria and Corrado Cuccurullo (bibliometrix R package) | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) |
| 種類≠ | Quantitative review method with software toolkit | 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 bibliometric analysis, R-based bibliometric analysis, bibliometrix workflow, bibliometrix package analysis | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| 関連 | 6 | 6 |
| 概要≠ | bibliometrix-assisted bibliometric analysis is a structured quantitative approach to mapping a scientific field using the bibliometrix R package. Developed by Aria and Cuccurullo (2017), it provides an integrated environment for importing bibliographic records from Scopus or Web of Science, computing performance indicators, building co-authorship and citation networks, and generating thematic maps — all within a reproducible R or Shiny workflow. | 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 ↗ |
|
|