مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| جفتیابی کتابشناختی با کمک کتابسنجی× | تحلیل کتابسنجی با کمک bibliometrix× | |
|---|---|---|
| حوزه | علمسنجی | علمسنجی |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | Base method 1963; R-package workflow 2017 | 2017 |
| پدیدآور≠ | Bibliographic coupling: M. M. Kessler (1963); bibliometrix package: Aria & Cuccurullo (2017) | Massimo Aria and Corrado Cuccurullo (bibliometrix R package) |
| نوع≠ | Quantitative scientometric network analysis | Quantitative review method with software toolkit |
| منبع بنیادین | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. DOI ↗ | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. DOI ↗ |
| نامهای دیگر | bibliometrix bibliographic coupling, R-based bibliographic coupling, coupling analysis via bibliometrix, biblioNetwork coupling | bibliometrix bibliometric analysis, R-based bibliometric analysis, bibliometrix workflow, bibliometrix package analysis |
| مرتبط≠ | 5 | 6 |
| خلاصه≠ | 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. | 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. |
| ScholarGateمجموعهداده ↗ |
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