Analyzing the influence of prolific collaborations on authors productivity and visibility (2023)
- Authors:
- USP affiliated authors: AMANCIO, DIEGO RAPHAEL - ICMC ; BRITO, ANA CAROLINE MEDEIROS - ICMC
- Unidade: ICMC
- DOI: 10.1007/s11192-023-04669-7
- Subjects: CIENTOMETRIA; BIBLIOMETRIA; INDICADORES CIENTÍFICOS
- Keywords: Collaboration networks; Productivity analysis; Multidisciplinarity; Author-level analysis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Scientometrics
- ISSN: 0138-9130
- Volume/Número/Paginação/Ano: v. 128, n. 4, p. 2471-2487, Apr. 2023
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
BRITO, Ana Caroline Medeiros e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. Analyzing the influence of prolific collaborations on authors productivity and visibility. Scientometrics, v. 128, n. 4, p. 2471-2487, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11192-023-04669-7. Acesso em: 29 dez. 2025. -
APA
Brito, A. C. M., Silva, F. N., & Amancio, D. R. (2023). Analyzing the influence of prolific collaborations on authors productivity and visibility. Scientometrics, 128( 4), 2471-2487. doi:10.1007/s11192-023-04669-7 -
NLM
Brito ACM, Silva FN, Amancio DR. Analyzing the influence of prolific collaborations on authors productivity and visibility [Internet]. Scientometrics. 2023 ; 128( 4): 2471-2487.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1007/s11192-023-04669-7 -
Vancouver
Brito ACM, Silva FN, Amancio DR. Analyzing the influence of prolific collaborations on authors productivity and visibility [Internet]. Scientometrics. 2023 ; 128( 4): 2471-2487.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1007/s11192-023-04669-7 - Associations between author-level metrics in subsequent time periods
- A complex network approach to political analysis: application to the Brazilian chamber of deputies
- Using complex networks to analyze the Brazilian Chamber of deputies
- Using network analysis and large-language models to obtain a landscape of the literature on dressing materials for wound healing: the predominance of chitosan and other biomacromolecules : a review
- Quantifying the hierarchical adherence of modular documents
- Using Complex Networks and Natural Language Processing to Characterize and Predict Academic Success
- Classification of abrupt changes along viewing profiles of scientific articles
- History of Chemistry of Materials according to topic evolution based on network analysis and natural language processing. [Editorial]
- Network analysis and natural language processing to obtain a landscape of the scientific literature on materials applications
- Classificação de textos com redes complexas
Informações sobre o DOI: 10.1007/s11192-023-04669-7 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3128348.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
