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On bibliometrics in academic promotions: a case study in computer science and engineering in Italy

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  • Camil Demetrescu

    (Sapienza University of Rome)

  • Irene Finocchi

    (Sapienza University of Rome)

  • Andrea Ribichini

    (Sapienza University of Rome)

  • Marco Schaerf

    (Sapienza University of Rome)

Abstract

Due to its quantitative nature, bibliometrics is becoming increasingly popular among policy makers for academic hiring and career promotions. In this article, we quantitatively assess the impact that the granularity level in the classification of scientific areas would entail on research evaluation based on bibliometric indicators. We use as a case study the Italian national habilitation system (ASN), which classifies faculty members according to their academic discipline and relies on journal counts, citations, and h-indices as a basis for promoting tenure track researchers to associate professors and associate to full professors. The assessment checks whether the individual indicators of a researcher are above a certain threshold, e.g., the median over the population of researchers working in the same discipline. Our investigation focuses on two related, rather broad disciplines: computer science and computer engineering. We show that the ASN practice of using the same thresholds for all members of a scientific discipline can favor certain sub-communities that are characterized by higher bibliometric indicators, and disfavor others. We report evidence that up to 30% of Italian faculty members of certain sub-communities would see their indicators drop below the threshold, thus becoming not eligible for promotion, if the ASN were conducted on a more accurate, fine-grained classification. Conversely, in the same scenario, up to 11% of faculty members, in different sub-communities, would see their indicators rise above the threshold, granting them eligibility. Our data set includes 1685 authors, 89,185 distinct publications, and 262,286 author-publication pairs.

Suggested Citation

  • Camil Demetrescu & Irene Finocchi & Andrea Ribichini & Marco Schaerf, 2020. "On bibliometrics in academic promotions: a case study in computer science and engineering in Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2207-2228, September.
    • Handle: RePEc:spr:scient:v:124:y:2020:i:3:d:10.1007_s11192-020-03548-9
    DOI: 10.1007/s11192-020-03548-9
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    References listed on IDEAS

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    1. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2016. "A farewell to the MNCS and like size-independent indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 646-651.
    2. Lutz Bornmann & Rüdiger Mutz & Hans‐Dieter Daniel, 2008. "Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(5), pages 830-837, March.
    3. Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2007. "Generalized Hirsch h-index for disclosing latent facts in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 253-280, August.
    4. Giulio Marini & Viviana Meschitti, 2018. "The trench warfare of gender discrimination: evidence from academic promotions to full professor in Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 989-1006, May.
    5. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2014. "How do you define and measure research productivity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1129-1144, November.
    6. Ivan Simko, 2015. "Analysis of bibliometric indicators to determine citation bias," Palgrave Communications, Palgrave Macmillan, vol. 1(palcomms2), pages 15011-15011, June.
    7. Marzolla, Moreno, 2015. "Quantitative analysis of the Italian National Scientific Qualification," Journal of Informetrics, Elsevier, vol. 9(2), pages 285-316.
    8. Marco Pautasso, 2015. "The Italian University Habilitation and the Challenge of Increasing the Representation of Women in Academia," Challenges, MDPI, vol. 6(1), pages 1-16, March.
    9. Juan Gorraiz & Christian Gumpenberger & Thomas Glade, 2016. "On the bibliometric coordinates of four different research fields in Geography," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 873-897, May.
    10. Camil Demetrescu & Andrea Ribichini & Marco Schaerf, 2018. "Accuracy of author names in bibliographic data sources: an Italian case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1777-1791, December.
    11. Marzolla, Moreno, 2016. "Assessing evaluation procedures for individual researchers: The case of the Italian National Scientific Qualification," Journal of Informetrics, Elsevier, vol. 10(2), pages 408-438.
    12. Demetrescu, Camil & Lupia, Francesco & Mendicelli, Angelo & Ribichini, Andrea & Scarcello, Francesco & Schaerf, Marco, 2019. "On the Shapley value and its application to the Italian VQR research assessment exercise," Journal of Informetrics, Elsevier, vol. 13(1), pages 87-104.
    13. Chun-Ting Zhang, 2009. "The e-Index, Complementing the h-Index for Excess Citations," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-4, May.
    14. Diana Hicks & Paul Wouters & Ludo Waltman & Sarah de Rijcke & Ismael Rafols, 2015. "Bibliometrics: The Leiden Manifesto for research metrics," Nature, Nature, vol. 520(7548), pages 429-431, April.
    15. Giovanni Abramo & Ciriaco Andrea D’Angelo & Francesco Rosati, 2014. "Career advancement and scientific performance in universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 891-907, February.
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    Cited by:

    1. Matthias Kuppler, 2022. "Predicting the future impact of Computer Science researchers: Is there a gender bias?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6695-6732, November.
    2. Ghassan Abdul-Majeed & Wissam Mahmood & Nasri S. M. Namer, 2021. "Measuring research performance of Iraqi universities using Scopus data," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2349-2363, March.
    3. Camil Demetrescu & Irene Finocchi & Andrea Ribichini & Marco Schaerf, 2022. "On computer science research and its temporal evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4913-4938, August.

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