Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| VOSviewer e CiteSpace: Ferramentas de Análise e Visualização Bibliométrica× | Análise de Acoplamento Bibliográfico× | |
|---|---|---|
| Área | Bibliometria | Bibliometria |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 2006–2010 | 1963 |
| Autor original≠ | Nees Jan van Eck & Ludo Waltman (VOSviewer); Chaomei Chen (CiteSpace) | Melvin M. Kessler |
| Tipo≠ | Tool | Method |
| Fonte seminal≠ | Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗ | Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131. DOI ↗ |
| Outros nomes≠ | bibliometric mapping software, citation visualization tools, science mapping tools | document coupling, bibliographic similarity |
| Relacionados≠ | 4 | 5 |
| Resumo≠ | VOSviewer and CiteSpace are specialized software tools designed to conduct bibliometric analysis and create science maps from research literature. VOSviewer (developed by Van Eck & Waltman, 2010) excels at creating publication landscapes through co-occurrence, co-citation, and bibliographic coupling analysis with intuitive visual output. CiteSpace (developed by Chaomei Chen, 2006) focuses on detecting emerging research trends and research fronts through direct citation analysis and specialized temporal algorithms. Together, these tools democratized science mapping, enabling researchers without programming expertise to visualize research domains comprehensively. | Bibliographic coupling is a method that identifies intellectual relationships between documents by measuring their shared references. Two papers are considered 'coupled' when they cite the same sources, indicating they address related research questions or draw from the same conceptual foundations. Introduced by Kessler in 1963, this approach enables researchers to map knowledge domains and discover thematically similar publications without relying on subject cataloging or keywords. |
| ScholarGateConjunto de dados ↗ |
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