Beyond Boundaries: Collaboration Networks and Research Output in Brazilian Computer Science

This paper examines collaborative dynamics within Brazilian computer science research through network analysis and bibliometric methods. Although Brazil demonstrates a high level of publication output, its collaboration reveal certain limitations, which may explain the comparatively low citation impact of its research. Therefore, we use network analysis to address two key questions: (1) to what extent do Brazilian subfields engage in collaborations with researchers and institutions internationally, and (2) how do collaboration levels vary among the different subareas of Brazilian Computer Science research? Our results demonstrate varied collaboration patterns across computer science subfields: theoretical areas favor international partnerships, while applied areas prefer domestic collaborations. We identified few “bridge” researchers as key structural elements in high-impact networks. We also mapped these networks and demonstrated the link between strategic international partnerships and research impact, offering insights for improving collaborations and evaluation policies.

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Publication Details

Published
2025-07-20
DOI
https://doi.org/10.5753/brasnam.2025.8329
Primary Topic
Complex Network Analysis Techniques
Type
article
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article

Beyond Boundaries: Collaboration Networks and Research Output in Brazilian Computer Science

André Luís Vignatti, Vinícius Mioto
Complex Network Analysis Techniques
article

Beyond Boundaries: Collaboration Networks and Research Output in Brazilian Computer Science

André Luís Vignatti, Vinícius Mioto
article en

Abstract

This paper examines collaborative dynamics within Brazilian computer science research through network analysis and bibliometric methods. Although Brazil demonstrates a high level of publication output, its collaboration reveal certain limitations, which may explain the comparatively low citation impact of its research. Therefore, we use network analysis to address two key questions: (1) to what extent do Brazilian subfields engage in collaborations with researchers and institutions internationally, and (2) how do collaboration levels vary among the different subareas of Brazilian Computer Science research? Our results demonstrate varied collaboration patterns across computer science subfields: theoretical areas favor international partnerships, while applied areas prefer domestic collaborations. We identified few “bridge” researchers as key structural elements in high-impact networks. We also mapped these networks and demonstrated the link between strategic international partnerships and research impact, offering insights for improving collaborations and evaluation policies.

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Complex Network Analysis Techniques
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