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| Kajian Literatur Sistematik Berbantukan bibliometrix× | Analisis Scientometrik× | |
|---|---|---|
| Bidang | Saintometrik | Saintometrik |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2017 | 1969 (term); 1963 (Price's foundational work) |
| Pengasas≠ | Massimo Aria & Corrado Cuccurullo (bibliometrix R package) | V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods) |
| Jenis≠ | Software-assisted systematic review | Quantitative literature analysis |
| Sumber perintis≠ | 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 ↗ |
| Alias | bibliometrix SLR, R-bibliometrix systematic review, bibliometrix-based literature review, bibliometrix-enhanced SLR | scientometrics, science of science, quantitative science studies, research evaluation analysis |
| Berkaitan | 6 | 6 |
| Ringkasan≠ | A bibliometrix-assisted systematic literature review integrates the R package bibliometrix — developed by Aria and Cuccurullo (2017) — into the standard systematic review pipeline to automate and visualize bibliometric performance and science-mapping analyses. It combines the transparency and reproducibility of a protocol-driven systematic search with quantitative tools for tracking publication trends, author collaboration networks, keyword co-occurrence, and thematic evolution across a field. | 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. |
| ScholarGateSet data ↗ |
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