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The Brazilian academic genealogy: evidence of advisor–advisee relationships through quantitative analysis

Author

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  • Rafael J. P. Damaceno

    (Federal University of ABC)

  • Luciano Rossi

    (Federal University of ABC)

  • Rogério Mugnaini

    (University of São Paulo)

  • Jesús P. Mena-Chalco

    (Federal University of ABC)

Abstract

Science can be examined from several standpoints, such as through a bibliometric analysis of the scientific output of researchers, research groups or institutions. However, there is little information about the advisor–advisee relationships or the academic supervision of researchers or between teachers and students. In this paper, we examine the results of the academic genealogy of PhD and Master’s students working in Brazil, which was obtained from 737,919 curriculum vitae extracted from the Lattes Platform. Our findings bring to light three main sources of evidence related to the Brazilian academic genealogy: (1) the degree of interdisciplinarity between main areas of knowledge, (2) the structural features and evolving patterns with regard to both areas of knowledge and researchers, and (3) the patterns in the levels of training that affect the topological metrics. We conclude that academic genealogy offers a great opportunity to assess researchers and their areas of research from the perspective of human resource training.

Suggested Citation

  • Rafael J. P. Damaceno & Luciano Rossi & Rogério Mugnaini & Jesús P. Mena-Chalco, 2019. "The Brazilian academic genealogy: evidence of advisor–advisee relationships through quantitative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 303-333, April.
    • Handle: RePEc:spr:scient:v:119:y:2019:i:1:d:10.1007_s11192-019-03023-0
    DOI: 10.1007/s11192-019-03023-0
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    References listed on IDEAS

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    1. Cassidy R. Sugimoto & Chaoqun Ni & Terrell G. Russell & Brenna Bychowski, 2011. "Academic genealogy as an indicator of interdisciplinarity: An examination of dissertation networks in Library and Information Science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(9), pages 1808-1828, September.
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    3. Dominik P. Heinisch & Guido Buenstorf, 2018. "The next generation (plus one): an analysis of doctoral students’ academic fecundity based on a novel approach to advisor identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 351-380, October.
    4. Rossi, Luciano & Freire, Igor L. & Mena-Chalco, Jesús P., 2017. "Genealogical index: A metric to analyze advisor–advisee relationships," Journal of Informetrics, Elsevier, vol. 11(2), pages 564-582.
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    8. Cassidy R. Sugimoto & Chaoqun Ni & Terrell G. Russell & Brenna Bychowski, 2011. "Academic genealogy as an indicator of interdisciplinarity: An examination of dissertation networks in Library and Information Science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(9), pages 1808-1828, September.
    9. Rossi, Luciano & Damaceno, Rafael J.P. & Freire, Igor L. & Bechara, Etelvino J.H. & Mena-Chalco, Jesús P., 2018. "Topological metrics in academic genealogy graphs," Journal of Informetrics, Elsevier, vol. 12(4), pages 1042-1058.
    10. Jesús Pascual Mena-Chalco & Luciano Antonio Digiampietri & Fabrício Martins Lopes & Roberto Marcondes Cesar Junior, 2014. "Brazilian bibliometric coauthorship networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(7), pages 1424-1445, July.
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    Cited by:

    1. Dhananjay Kumar & Plaban Kumar Bhowmick & Sumana Dey & Debarshi Kumar Sanyal, 2023. "On the banks of Shodhganga: analysis of the academic genealogy graph of an Indian ETD repository," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 3879-3914, July.
    2. Borenstein, Denis & Perlin, Marcelo S. & Imasato, Takeyoshi, 2022. "The Academic Inbreeding Controversy: Analysis and Evidence from Brazil," Journal of Informetrics, Elsevier, vol. 16(2).
    3. Chuanyi Wang & Fei Guo & Qing Wu, 2021. "The influence of academic advisors on academic network of Physics doctoral students: empirical evidence based on scientometrics analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4899-4925, June.
    4. Fu, Zhongmeng & Cao, Yuan & Zhao, Yong, 2024. "Identifying knowledge evolution in computer science from the perspective of academic genealogy," Journal of Informetrics, Elsevier, vol. 18(2).

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