विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| बिब्लिओमेट्रिक्स-सहायता प्राप्त बिब्लियोग्राफिक कपलिंग× | बिब्लियोमेट्रिक्स-सहायता प्राप्त बिब्लियोमेट्रिक विश्लेषण× | |
|---|---|---|
| क्षेत्र | विज्ञानमिति | विज्ञानमिति |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | Base method 1963; R-package workflow 2017 | 2017 |
| प्रवर्तक≠ | Bibliographic coupling: M. M. Kessler (1963); bibliometrix package: Aria & Cuccurullo (2017) | Massimo Aria and Corrado Cuccurullo (bibliometrix R package) |
| प्रकार≠ | Quantitative scientometric network analysis | Quantitative review method with software toolkit |
| मौलिक स्रोत | 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 ↗ |
| उपनाम | 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 |
| संबंधित≠ | 5 | 6 |
| सारांश≠ | 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. |
| ScholarGateडेटासेट ↗ |
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