เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การเชื่อมโยงบรรณานุกรมโดยใช้ bibliometrix× | การวิเคราะห์การอ้างอิงร่วม× | |
|---|---|---|
| สาขาวิชา≠ | วิทยาศาสตรมิติ | บรรณมิติ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | Base method 1963; R-package workflow 2017 | 1973 |
| ผู้ริเริ่ม≠ | Bibliographic coupling: M. M. Kessler (1963); bibliometrix package: Aria & Cuccurullo (2017) | Henry Small |
| ประเภท≠ | Quantitative scientometric network analysis | Method |
| แหล่งต้นตำรับ≠ | 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 ↗ |
| ชื่อเรียกอื่น | bibliometrix bibliographic coupling, R-based bibliographic coupling, coupling analysis via bibliometrix, biblioNetwork coupling | co-citation mapping, historiograph, direct citation, citation pair analysis |
| ที่เกี่ยวข้อง | 5 | 5 |
| สรุป≠ | Bibliometrix-assisted bibliographic coupling applies the open-source R package bibliometrix to construct and analyse bibliographic coupling networks, in which two documents are linked by the number of references they share. The workflow automates record import, network construction, community detection, and summary statistics within a single reproducible R environment, making it accessible to researchers without dedicated scientometric software licences. | 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. |
| ScholarGateชุดข้อมูล ↗ |
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