השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| מיפוי מדעי בסיוע bibliometrix× | ניתוח ציטוט-משותף (Co-Citation Analysis)× | |
|---|---|---|
| תחום≠ | סיינטומטריה | ביבליומטריה |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 2017 | 1973 |
| הוגה השיטה≠ | Massimo Aria & Corrado Cuccurullo (bibliometrix R package) | Henry Small |
| סוג≠ | Computational bibliometric pipeline | Method |
| מקור מכונן≠ | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. 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 ↗ |
| כינויים | bibliometrix science mapping, R-based science mapping, bibliometrix bibliometric mapping, bibliometrix-driven knowledge mapping | co-citation mapping, historiograph, direct citation, citation pair analysis |
| קשורות≠ | 6 | 5 |
| תקציר≠ | bibliometrix-assisted science mapping is a computational approach that uses the bibliometrix R package to retrieve, clean, and analyze large bibliographic datasets, producing structured visual maps of how knowledge in a field is organized, interconnected, and evolving over time. It combines descriptive bibliometrics with network analysis and strategic clustering techniques to reveal intellectual structure, thematic frontiers, and influential actors in a research domain. | 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. |
| ScholarGateמערך נתונים ↗ |
|
|