השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח ציטוטים משותפים בסיוע bibliometrix× | ניתוח ביבליומטרי× | |
|---|---|---|
| תחום | סיינטומטריה | סיינטומטריה |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 2017 (bibliometrix implementation); 1973 (co-citation concept) | 1969 (term coined); practice dates to 1920s–1930s |
| הוגה השיטה≠ | Co-citation: Henry Small (1973); bibliometrix package: Massimo Aria & Corrado Cuccurullo (2017) | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) |
| סוג≠ | Computational scientometric pipeline | Quantitative literature analysis |
| מקור מכונן≠ | 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 ↗ |
| כינויים | R bibliometrix co-citation, bibliometrix CCA, co-citation network analysis with bibliometrix, bibliometrix cocitation mapping | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| קשורות | 6 | 6 |
| תקציר≠ | bibliometrix-assisted co-citation analysis combines Henry Small's co-citation measure with the open-source R package bibliometrix to map the intellectual structure of a research field. When two documents are frequently cited together by third papers, they are considered intellectually linked; the bibliometrix package automates construction of the co-citation matrix, similarity normalization, community detection, and network visualization, turning raw bibliographic exports into interpretable science maps. | 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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