Bandingkan kaedah
Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.
| Analisis Ko-Sitanan Bantuan VOSviewer× | Analisis Scientometrik× | |
|---|---|---|
| Bidang | Saintometrik | Saintometrik |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1973 (co-citation); VOSviewer workflow from ~2010 | 1969 (term); 1963 (Price's foundational work) |
| Pengasas≠ | Henry Small (co-citation, 1973); Nees Jan van Eck & Ludo Waltman (VOSviewer, 2010) | V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods) |
| Jenis≠ | Bibliometric network analysis | Quantitative literature analysis |
| Sumber perintis≠ | 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 ↗ | 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 | VOSviewer co-citation mapping, bibliometric co-citation visualization, co-citation network analysis with VOSviewer, CCA-VOSviewer | scientometrics, science of science, quantitative science studies, research evaluation analysis |
| Berkaitan | 6 | 6 |
| Ringkasan≠ | VOSviewer-assisted co-citation analysis combines Henry Small's co-citation measure — counting how often two documents are jointly cited by later work — with VOSviewer's automated network construction and visual mapping capabilities. The result is a spatial map of the intellectual base of a research field, where documents that share many citing contexts cluster together, revealing foundational schools of thought and their relationships. | 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 ↗ |
|
|