Network analysis uncovers varied collaboration patterns in Brazilian computer science research, highlighting citation impacts.
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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Mioto et al. (2025) studied this question.
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