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Comparison of research performance of Italian and Norwegian professors and universities

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  • Abramo, Giovanni
  • Aksnes, Dag W.
  • D’Angelo, Ciriaco Andrea

Abstract

This is the first ever attempt of application in a country other than Italy of the output-to-input indicator FSS, to assess and compare the research performance of professors and universities, within and between countries. A special attention has been devoted to the presentation of the methodology developed to set up a common field classification scheme of professors, and to overcome the limited availability of comparable input data. Results of the comparison between countries, carried out in the 2011–2015 period, show similar average performances of professors, but noticeable differences in the distributions, whereby Norwegian professors are more concentrated in the tails. Norway shows notable higher performance in Mathematics and Earth and Space Sciences, while Italy in Biomedical Research and Engineering.

Suggested Citation

  • Abramo, Giovanni & Aksnes, Dag W. & D’Angelo, Ciriaco Andrea, 2020. "Comparison of research performance of Italian and Norwegian professors and universities," Journal of Informetrics, Elsevier, vol. 14(2).
    • Handle: RePEc:eee:infome:v:14:y:2020:i:2:s1751157719301981
    DOI: 10.1016/j.joi.2020.101023
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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. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Soldatenkova, Anastasiia, 2016. "The ratio of top scientists to the academic staff as an indicator of the competitive strength of universities," Journal of Informetrics, Elsevier, vol. 10(2), pages 596-605.
    3. Stegehuis, Clara & Litvak, Nelly & Waltman, Ludo, 2015. "Predicting the long-term citation impact of recent publications," Journal of Informetrics, Elsevier, vol. 9(3), pages 642-657.
    4. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2015. "Ranking research institutions by the number of highly-cited articles per scientist," Journal of Informetrics, Elsevier, vol. 9(4), pages 915-923.
    5. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2011. "Research productivity: Are higher academic ranks more productive than lower ones?," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 915-928, September.
    6. 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.
    7. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2012. "Revisiting the scaling of citations for research assessment," Journal of Informetrics, Elsevier, vol. 6(4), pages 470-479.
    8. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Felici, Giovanni, 2019. "Predicting publication long-term impact through a combination of early citations and journal impact factor," Journal of Informetrics, Elsevier, vol. 13(1), pages 32-49.
    9. Fredrik Niclas Piro & Dag W. Aksnes & Kristoffer Rørstad, 2013. "A macro analysis of productivity differences across fields: Challenges in the measurement of scientific publishing," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 307-320, February.
    10. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2013. "The impact of unproductive and top researchers on overall university research performance," Journal of Informetrics, Elsevier, vol. 7(1), pages 166-175.
    11. David I Stern, 2014. "High-Ranked Social Science Journal Articles Can Be Identified from Early Citation Information," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-11, November.
    12. Alberto Anfossi & Alberto Ciolfi & Filippo Costa & Giorgio Parisi & Sergio Benedetto, 2016. "Large-scale assessment of research outputs through a weighted combination of bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 671-683, May.
    13. Fredrik Niclas Piro & Dag W. Aksnes & Kristoffer Rørstad, 2013. "A macro analysis of productivity differences across fields: Challenges in the measurement of scientific publishing," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 307-320, February.
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    Cited by:

    1. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2021. "A bibliometric methodology to unveil territorial inequities in the scientific wealth to combat COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6601-6624, August.
    2. Marek Kwiek & Wojciech Roszka, 2022. "Academic vs. biological age in research on academic careers: a large-scale study with implications for scientifically developing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3543-3575, June.
    3. Kwiek, Marek & Roszka, Wojciech, 2021. "Gender-based homophily in research: A large-scale study of man-woman collaboration," Journal of Informetrics, Elsevier, vol. 15(3).
    4. Frode Eika Sandnes, 2021. "A bibliometric study of human–computer interaction research activity in the Nordic-Baltic Eight countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4733-4767, June.
    5. Marek Kwiek & Wojciech Roszka, 2021. "Gender Disparities In International Research Collaboration: A Study Of 25,000 University Professors," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1344-1380, December.
    6. Gerson Pech & Catarina Delgado, 2020. "Assessing the publication impact using citation data from both Scopus and WoS databases: an approach validated in 15 research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 909-924, November.
    7. Abramo, Giovanni & Aksnes, Dag W. & D’Angelo, Ciriaco Andrea, 2021. "Gender differences in research performance within and between countries: Italy vs Norway," Journal of Informetrics, Elsevier, vol. 15(2).
    8. Giovanni Abramo & Les Oxley, 2021. "Scientometric‐based analysis in business and economics: Introduction, examples, and guidelines," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1261-1270, December.

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