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| Phân tích thư mục dựa trên bibliometrix× | Phân tích khoa học liệu× | |
|---|---|---|
| Lĩnh vực | Trắc lượng khoa học | Trắc lượng khoa học |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 2017 | 1969 (term); 1963 (Price's foundational work) |
| Người khởi xướng≠ | Massimo Aria and Corrado Cuccurullo (bibliometrix R package) | V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods) |
| Loại≠ | Quantitative review method with software toolkit | Quantitative literature analysis |
| Công trình gốc≠ | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. DOI ↗ | Nalimov, V. V., & Mulchenko, Z. M. (1969). Naukometriya: Izucheniye razvitiya nauki kak informatsionnogo protsessa [Scientometrics: The Study of the Development of Science as an Information Process]. Nauka. link ↗ |
| Tên gọi khác | bibliometrix bibliometric analysis, R-based bibliometric analysis, bibliometrix workflow, bibliometrix package analysis | scientometrics, science of science, quantitative science studies, research evaluation analysis |
| Liên quan | 6 | 6 |
| Tóm tắt≠ | 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. | Scientometric analysis applies statistical and computational methods to publication and citation data to measure the growth, structure, and impact of scientific fields. Drawing on databases such as Web of Science, Scopus, or OpenAlex, it quantifies output trends, identifies leading authors and institutions, maps intellectual networks, and evaluates research impact — transforming large bibliographic corpora into evidence-based portraits of how knowledge develops and spreads. |
| ScholarGateBộ dữ liệu ↗ |
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