Research Papers

Profiling Brazil’s research elite: Insights from a cluster analysis of a large database

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  • Federal University of Rio Grande do Sul, Business School, Porto Alegre, Brazil
† Cristian Rogério Foguesatto (Email: cristian.foguesatto@ufrgs.br).

Received date: 2025-03-05

  Revised date: 2025-05-11

  Accepted date: 2025-05-14

  Online published: 2025-06-06

Abstract

Purpose: This study analyzes the profiles of elite Brazilian researchers, recognized through the prestigious CNPq productivity scholarships. By identifying distinct researcher clusters, the study sheds light on different academic strategies, levels of productivity, and academic contributions within the Brazilian higher education system.
Design/methodology/approach: The research analyzes a comprehensive dataset of 14,003 researchers, employing principal component analysis (PCA) followed by cluster analysis to group researchers based on their academic attributes. The clusters reflect diverse aspects of research productivity, graduate supervisions, and publication patterns.
Findings: The analysis reveals the existence of three distinct researcher profiles (the Advanced Supervisors, the Book Publishers/Organizers, and the Generalists). The study also highlights the characteristics of high-caliber scientists, representing the upper echelon of Brazilian researchers in terms of productivity and impact.
Research limitations: Although the study provides a robust analysis of the Brazilian system, the results reflect specific characteristics of the Brazilian academic context. Furthermore, the analysis was restricted to normalized annual data, which may overlook temporal variations in researcher productivity.
Pratical implications: The findings provide valuable insights for policy makers, funding agencies (such as CNPq), and university administrators who aim to develop tailored support programs for different researcher profiles.
Originality/value: The cluster-based profiling offers a novel perspective on how different academic trajectories coexist within a national science system, offering lessons for other emerging economies.

Cite this article

Cristian Rogério Foguesatto, Denis Borenstein, Marcelo Perlin, Takeyoshi Imasato . Profiling Brazil’s research elite: Insights from a cluster analysis of a large database[J]. Journal of Data and Information Science, 0 : 0 . DOI: 10.2478/jdis-2025-0033

References

[1] Ahmad S., Qureshi I. U., Ramzan M., & Rehman S. U. (2022). Research elite of Pakistan: Profile and determinants of productivity and impact.Publishing Research Quarterly, 38(2), 263-280.
[2] Alves, C. A., & da Silva, L. L. (2022). Perfil e produção científica dos bolsistas de produtividade em pesquisa do CNPq atuantes na educação matemática.Educação Matemática, 24(3), 393-429.
[3] Araújo, P. C., & Bufrem, L. S. (2021). The intellectual foundation of the elite of Brazilian researchers on knowledge organization domain.Transinformação, 33, e200068.
[4] Azoulay P., Ganguli I., & Graff Zivin J. (2017). The mobility of elite life scientists: Professional and personal determinants.Research Policy, 46(3), 573-590.
[5] Baum, J. A. C. (2012). The skewed few: Does “skew” signal quality among journals, articles, and academics?Journal of Management Inquiry, 21(3), 349-354.
[6] Borenstein D., Perlin M. S., & Imasato T. (2022). The academic inbreeding controversy: Analysis and evidence from Brazil.Journal of Informetrics, 16(2), 101287.
[7] Burns, R. P., & Burns, R. (2008). Business research methods and statistics using SPSS. Sage Publications Ltd.
[8] CNPq. (2024). Nota técnica. Retrieved July 9, 2024, from https://www.gov.br/cnpq/pt-br/acesso-a-informacao/dados-abertos/nota-tecnicapainelbolsaspqdemandaatendime%20v2-14-03-2024.pdf
[9] Costello, A. B., & Osborne, J. (2019). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis.Practical Assessment, Research, and Evaluation, 10(1), 7.
[10] Cox, R. A. K., & Chung, K. H. (1991). Patterns of research output and author concentration in the economics literature.The Review of Economics and Statistics. 740-747.
[11] Cunha R., Dimenstein M., & Dantas C. (2021). Desigualdades de gênero por área de conhecimento na ciência brasileira: panorama das bolsistas PQ/CNPq.Saúde em Debate, 45, 83-97.
[12] da Silva S., Perlin M., Matsushita R., Santos A. A., Imasato T., & Borenstein D. (2019). Lotka’s law for the Brazilian scientific output published in journals.Journal of Information Science, 45(5), 705-709.
[13] de Oliveira Moritz G., Pereira M. F., Moritz M. O., & Maccari E. A. (2013). A pós-graduação brasileira: evolução e principais desafios no ambiente de cenários prospectivos.Future Studies Research Journal: Trends and Strategies, 5(2), 03-34.
[14] Di Bitetti, M. S., & Ferreras, J. A. (2017). Publish
(in English) or perish: The effect on citation rate of using languages other than English in scientific publications. Ambio, 46, 121-127.
[15] Fan L., Guo L., Wang X., Xu L., & Liu F. (2022). Does the author’s collaboration mode lead to papers’ different citation impacts? An empirical analysis based on propensity score matching.Journal of Informetrics, 16(4), 101350.
[16] Field, A. (2024). Discovering statistics using IBM SPSS statistics. Sage publications limited.
[17] Gomes C. B., Calabró L., Oliveira S. R. D., Martins L. A. M., Souza D. O., & Gheno E. M. (2023). Características dos bolsistas de produtividade em pesquisa da grande área Ciências da Saúde do CNPq. Em Questão, 29, e-123639.
[18] Guedes M. D. C., Azevedo N., & Ferreira L. O. (2015). A produtividade científica tem sexo? Um estudo sobre bolsistas de produtividade do CNPq.Cadernos pagu, (45), 367-399.
[19] Han F., Zhang R., Zhang S., & Yuan J. (2024). International mobility characteristics, effects of, and effects on elite scientists.Journal of Informetrics, 18(1), 101485.
[20] Holliday E., Fuller C. D., Wilson L. D., & Thomas Jr, C. R. (2013). Success breeds success: authorship distribution in the Red Journal, 1975-2011.International Journal of Radiation Oncology* Biology* Physics, 85(1), 23-28.
[21] Horta, H., & Santos, J. M. (2016). The impact of publishing during PhD studies on career research publication, visibility, and collaborations.Research in Higher Education, 57, 28-50.
[22] Huber, J. C. (1998). The underlying process generating Lotka’s law and the statistics of exceedances.Information Processing & Management, 34(4), 471-487.
[23] Lei, J., & Hu, G. (2015). Apprenticeship in scholarly publishing: A student perspective on doctoral supervisors’ roles.Publications, 3(1), 27-42.
[24] Leite, A. C. F., & Neto, I. R. (2017). Perfil dos bolsistas de produtividade em pesquisa do CNPq em Educação.Revista Brasileira de Ensino Superior, 3(4), 97-112.
[25] Li W., Aste T., Caccioli F., & Livan G. (2019). Early coauthorship with top scientists predicts success in academic careers.Nature communications, 10(1), 5170.
[26] Lotka, A. J. (1926). The frequency distribution of scientific productivity.Journal of the Washington academy of sciences, 16(12), 317-323.
[27] Mangematin, V. (2000). PhD job market: professional trajectories and incentives during the PhD.Research policy, 29(6), 741-756.
[28] Martelli D. R., Oliveira M. C. L., Pinheiro S. V., Santos M. L., Dias V., da Silva, A. C. S., .. & Oliveira, E. A. (2019). Profile and scientific output of researchers recipients of CNPq productivity grant in the field of medicine.Revista da Associação Médica Brasileira, 65, 682-690.
[29] Martins, P. R., & Schäfer, M. B. (2023). Comportamento de publicação dos pesquisadores bolsistas de produtividade em pesquisa (PQ-1A) na área de Letras.Revista ACB: Biblioteconomia em Santa Catarina, 28(1), 8.
[30] Mendes P. H. C., Martelli D. R. B., Souza W. P. D., Quirino Filho S., & Martelli Júnior H. (2010). Perfil dos pesquisadores bolsistas de produtividade científica em medicina no CNPq, Brasil.Revista Brasileira de Educação Médica, 34, 535-541.
[31] Oliveira A., Melo M. F. D., Rodrigues Q. B. D., & Pequeno M. (2021). Gênero e desigualdade na academia brasileira: uma análise a partir dos bolsistas de produtividade em pesquisa do CNPq.Configurações. Revista Ciências Sociais, (27), 75-93.
[32] Parker J., Lortie C., & Allesina S. (2010). Characterizing a scientific elite: the social characteristics of the most highly cited scientists in environmental science and ecology.Scientometrics, 85(1), 129-143.
[33] Parker J. N., Allesina S., & Lortie C. J. (2013). Characterizing a scientific elite (B): Publication and citation patterns of the most highly cited scientists in environmental science and ecology.Scientometrics, 94, 469-480.
[34] Pereira, J. C. R. (2006). Revista de Saúde Pública: forty years of Brazilian scientific production.Revista de Saúde Pública, 40, 148-159.
[35] Perlin M., Kirch G., Vancin D., & Mastella M. (2021). O Impacto da Titulação Acadêmica de Conselheiros e Diretores sobre a Performance de Empresas Negociadas na B3.BBR. Brazilian Business Review, 18, 561-584.
[36] Schwartzman, S. (2022). Pesquisa e Pós-Graduação no Brasil: duas faces da mesma moeda?.Estudos Avançados, 36, 227-254.
[37] Singh A., Yadav A., & Rana A. (2013). K-means with Three different Distance Metrics. International Journal of Computer Applications, 67(10).
[38] Sobrino M. I. M., Caldes A. I. P., & Guerrero A. P. (2009). Lotka law applied to the scientific production of information science area. Brazilian Journal of Information Science: research trends, 2(1).
[39] Tahamtan I., Safipour Afshar A., & Ahamdzadeh K. (2016). Factors affecting number of citations: a comprehensive review of the literature.Scientometrics, 107, 1195-1225.
[40] Uddin S., Choudhury N., & Hossain M. E. (2019). A research framework to explore knowledge evolution and scholarly quantification of collaborative research.Scientometrics, 119, 789-803.
[41] Waltman L., Van Eck N. J., & Wouters P. (2013). Counting publications and citations: Is more always better?.Journal of Informetrics, 7(3), 635-641.
[42] Xie Q., Zhang X., Kim G., & Song M. (2022). Exploring the influence of coauthorship with top scientists on researchers’ affiliation, research topic, productivity, and impact.Journal of Informetrics, 16(3), 101314.
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