Concentration and Diversity in Collaboration Networks in Electrical Engineering: Evidence from Brazilian Researchers

Authors

Keywords:

Scientific collaboration networks, CNPq productivity grants, collaboration clusters

Abstract

Scientific collaboration networks shape research dynamics in fields such as Electrical Engineering, where Brazil’s CNPq productivity grants play a pivotal role. Expanding upon previous analyzes focused on Microelectronics, this study broadens the scope to encompass the major field of Electrical Engineering, covering seven subareas: Electrical Materials; Electrical, Magnetic, and Electronic Measurements; Instrumentation; Electrical, Magnetic, and Electronic Circuits; Power Systems; Industrial Electronics, Systems, and Electronic Controls; and Telecommunications. The analysis considers collaboration networks among 419 CNPq productivity grant holders based on 18,386 publications. The results reveal a hierarchical structure in which top-tier researchers form a highly influential core, while lower-level researchers remain peripheral. The network exhibits a pronounced geographic concentration in Brazil’s Southeast and South regions, accompanied by notable gender disparities. Over time, the average author influence has increased, and collaboration clusters have become more compact, suggesting a trend toward smaller, more centralized groups. Despite its thematic diversity, the network exhibits structural inequality and limited cross-level integration. Future research could further investigate temporal shifts, inter-institutional collaboration patterns, and the co-evolution of network structures and research focuses.

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Author Biographies

Fernando Almeida do Carmo, University of Maranhão

Fernando A. do Carmo received the B.S. degree in Computer Science from the Federal University of Western Pará (UFOPA) in 2025. He is currently pursuing the M.S. degree in Computer Engineering and Systems at the State University of Maranhão (UEMA). His primary research interests include Artificial Intelligence and Data Science, with an emphasis on Text Mining and Natural Language Processing (NLP).

Gustavo S. Silva

Gustavo S. Silva received the B.S. degree in Computer Engineering from the State University of Maranhão (UEMA), São Luís, in 2024 and is currently pursuing the M.S. degree in Computer Engineering and Systems at the State University of Maranhão, São Luís. His primary research interests include Data Science and Artificial Intelligence, with emphasis on Natural Language Processing and AI Engineering.

Raimundo C. S. Freire, Federal University of Campina Grande

Raimundo C. S. Freire received the B.S. degree in electrical engineering from the Federal University of Maranhão (UFMA), Brazil, in 1979, the M.S. degree from the Federal University of Paraíba (UFPB), Brazil, in 1982, and the Ph.D. degree from the Institut National Polytechnique de Lorraine, France, in 1988. He conducted postdoctoral research at the École Supérieure des Télécommunications in Paris, France. He is currently a full professor at the Federal University of Campina Grande (UFCG), Brazil. His research interests encompass electronic instrumentation, biomedical instrumentation, and microelectronics, with a focus on thermoresistive sensors, reconfigurable analog circuits, and assistive technologies.

Antonio Fernando Lavareda Jacob Junior, University of Maranhão

Antonio F. L. Jacob Jr received the B.S. degree in computer science from University of Amazon (UNAMA), Pará, Brazil, in 2005 and the M.S. degree in computer science from the Federal University of Pernambuco (UFPE), Pernambuco, Brazil, in 2008. He is currently pursuing a Ph.D. degree in electrical engineering at the Federal University of Maranhão (UFMA), Maranhão, Brazil. Since 2016, he has served as an Assistant Lecturer in the Computer Engineering Department at the State University of Maranhão (UEMA).

Fábio Manoel Franca Lobato, Federal University of Western Pará

Fábio M. F. Lobato is a Lecturer at the Federal University of Western Pará (UFOPA). He holds a degree in Computer Engineering (2010), a Master's (2011), and a Ph.D. (2016) from the Federal University of Pará, with a split-time period at the University of Kent. Dr. Lobato conducted postdoctoral research at the University of País Vasco (2018) and the University of São Paulo (2025). He is a CNPq productivity fellow in technological development, with a focus on computational intelligence, natural language processing, social networks, and scientometrics.

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Published

2026-04-09

How to Cite

Almeida do Carmo, F., S. Silva, G. ., C. S. Freire, R., Lavareda Jacob Junior, A. F., & Manoel Franca Lobato, F. (2026). Concentration and Diversity in Collaboration Networks in Electrical Engineering: Evidence from Brazilian Researchers. IEEE Latin America Transactions, 24(5), 456–464. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/10313