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A first approach to the classification of the top 500 world universities by their disciplinary characteristics using scientometrics

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Listed:
  • Ying Cheng

    (Institute of Higher Education, Shanghai Jiao Tong University)

  • Nian Cai Liu

    (Institute of Higher Education, Shanghai Jiao Tong University)

Abstract

Summary In this study, the top 500 world universities are classified into 21 types according to their disciplinary characteristics using clustering method. The indicators used to represent the disciplinary characteristics of an institution are the proportion of publications in six broader disciplinary areas: Arts/Humanities & Social Sciences, Natural Sciences & Mathematics, Engineering/Technology & Computer Sciences, Life Sciences, Clinical Medicine, and Interdisciplinary & Multidisciplinary Sciences. Institutions have been classified into types of having focus in a disciplinary group, having priority in a disciplinary group, having orientation in a disciplinary group, and balanced. The distribution of different types of institutions with respect to countries and ranks are analyzed.

Suggested Citation

  • Ying Cheng & Nian Cai Liu, 2006. "A first approach to the classification of the top 500 world universities by their disciplinary characteristics using scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 135-150, July.
    • Handle: RePEc:spr:scient:v:68:y:2006:i:1:d:10.1007_s11192-006-0087-z
    DOI: 10.1007/s11192-006-0087-z
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    Citations

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    Cited by:

    1. Ortega, José Luis & López-Romero, Elena & Fernández, Inés, 2011. "Multivariate approach to classify research institutes according to their outputs: The case of the CSIC's institutes," Journal of Informetrics, Elsevier, vol. 5(3), pages 323-332.
    2. Cena, Anna & Gagolewski, Marek & Mesiar, Radko, 2015. "Problems and challenges of information resources producers’ clustering," Journal of Informetrics, Elsevier, vol. 9(2), pages 273-284.
    3. Cottafava, Dario & Ascione, Grazia Sveva & Corazza, Laura & Dhir, Amandeep, 2022. "Sustainable development goals research in higher education institutions: An interdisciplinarity assessment through an entropy-based indicator," Journal of Business Research, Elsevier, vol. 151(C), pages 138-155.
    4. Gabriel-Alexandru Vîiu & Mihai Păunescu & Adrian Miroiu, 2016. "Research-driven classification and ranking in higher education: an empirical appraisal of a Romanian policy experience," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 785-805, May.
    5. Franceschini, Fiorenzo & Maisano, Domenico, 2011. "Structured evaluation of the scientific output of academic research groups by recent h-based indicators," Journal of Informetrics, Elsevier, vol. 5(1), pages 64-74.
    6. George Matlis & Nikos Dimokas & Petros Karvelis, 2024. "Unveiling University Groupings: A Clustering Analysis for Academic Rankings," Data, MDPI, vol. 9(5), pages 1-41, May.
    7. Nicolás Robinson-García & Clara Calero-Medina, 2014. "What do university rankings by fields rank? Exploring discrepancies between the organizational structure of universities and bibliometric classifications," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1955-1970, March.
    8. Erin Leahey & Sondra N. Barringer & Misty Ring-Ramirez, 2019. "Universities’ structural commitment to interdisciplinary research," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 891-919, March.
    9. Isabel Gómez & María Bordons & M. Teresa Fernández & Fernanda Morillo, 2009. "Structure and research performance of Spanish universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 131-146, April.

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