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A new bibliometric approach to assess the scientific specialization of regions

Author

Listed:
  • Giovanni Abramo
  • Ciriaco Andrea D’Angelo
  • Flavia Di Costa

Abstract

The objective of the current work is to identify the territorial scientific specializations present in Italy, at the levels of regions and provinces (NUTS2 and NUTS3). To do this, we take a bibliometric approach based on the scientific production of the entire public research system in the hard sciences sphere, for the 5 years 2006–10. In particular, we apply a new index of scientific specialization (Scientific Specialization Index, SSI) that takes account of both the quantity and quality of scientific production achieved by the research institutions of a given territory.

Suggested Citation

  • Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2014. "A new bibliometric approach to assess the scientific specialization of regions," Research Evaluation, Oxford University Press, vol. 23(2), pages 183-194.
    • Handle: RePEc:oup:rseval:v:23:y:2014:i:2:p:183-194.
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    File URL: http://hdl.handle.net/10.1093/reseval/rvu005
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    Citations

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    Cited by:

    1. Maxim N. Kotsemir & Tatiana E. Kuznetsova & Elena G. Nasybulina & Anna G. Pikalova, 2015. "Empirical Analysis of Multinational S&T Collaboration Priorities –The Case of Russia," HSE Working papers WP BRP 53/STI/2015, National Research University Higher School of Economics.
    2. Joel Emanuel Fuchs & Thomas Heinze, 2022. "Two-dimensional mapping of university profiles in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7215-7228, December.
    3. Sergey Shashnov & Maxim Kotsemir, 2018. "Research landscape of the BRICS countries: current trends in research output, thematic structures of publications, and the relative influence of partners," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1115-1155, November.
    4. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Di Costa, Flavia, 2022. "Revealing the scientific comparative advantage of nations: Common and distinctive features," Journal of Informetrics, Elsevier, vol. 16(1).
    5. Maxim Kotsemir & Tatiana Kuznetsova & Elena Nasybulina & Anna Pikalova, 2015. "Identifying Directions for Russia’s Science and Technology Cooperation," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 9(4), pages 54-72.
      • Maxim Kotsemir & Tatiana Kuznetsova & Elena Nasybulina & Anna Pikalova, 2015. "Identifying Directions for Russia’s Science and Technology Cooperation," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 9(4 (eng)), pages 54-72.
    6. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2015. "A methodology to compute the territorial productivity of scientists: The case of Italy," Journal of Informetrics, Elsevier, vol. 9(4), pages 675-685.
    7. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2018. "Who benefits from a country’s scientific research?," Journal of Informetrics, Elsevier, vol. 12(1), pages 249-258.
    8. Alexander Sokolov & Sergey Shashnov & Maxim Kotsemir, 2021. "From BRICS to BRICS plus: selecting promising areas of S&T Cooperation with developing countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8815-8859, November.

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