Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Análise de Cocitação Baseada em Rede× | Análise Cienciométrica× | |
|---|---|---|
| Área | Cientometria | Cientometria |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1973 (co-citation); network-analytic extension widely adopted 2000s–2010s | 1969 (term); 1963 (Price's foundational work) |
| Autor original≠ | Henry Small (co-citation foundation); network visualization extended by Chaomei Chen and others | V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods) |
| Tipo≠ | Bibliometric network analysis | Quantitative literature analysis |
| Fonte seminal≠ | 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 ↗ |
| Outros nomes | co-citation network analysis, bibliometric network co-citation, co-citation mapping, CCA network approach | scientometrics, science of science, quantitative science studies, research evaluation analysis |
| Relacionados | 6 | 6 |
| Resumo≠ | Network-based co-citation analysis is a bibliometric technique that measures how often pairs of documents are cited together by later works, then models those relationships as a weighted network. Nodes represent documents (or authors or journals), edges represent co-citation frequency, and network algorithms identify clusters of intellectually related literature. It is widely used in systematic and scoping reviews to map the intellectual structure of a research 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. |
| ScholarGateConjunto de dados ↗ |
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