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Specialization versus diversification in research activities: the extent, intensity and relatedness of field diversification by individual scientists

Author

Listed:
  • Giovanni Abramo

    (National Research Council of Italy)

  • Ciriaco Andrea D’Angelo

    (National Research Council of Italy
    University of Rome “Tor Vergata”)

  • Flavia Costa

    (National Research Council of Italy)

Abstract

We investigate whether and in what measure scientists tend to diversify their research activity, and if this tendency varies according to their belonging to different disciplinary areas. We analyze the nature of research diversification along three dimensions: extent of diversification, intensity of diversification, and degree of relatedness of topics in which researchers diversifies. For this purpose we propose three bibliometric indicators, based on the disciplinary placement of scientific output of individual scientists. The empirical investigation shows that the extent of diversification is lowest for scientists in Mathematics and highest in Chemistry; intensity of diversification is lowest in Earth sciences and highest in Industrial and information engineering; and degree of relatedness is lowest in Earth sciences and highest in Chemistry.

Suggested Citation

  • Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2017. "Specialization versus diversification in research activities: the extent, intensity and relatedness of field diversification by individual scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1403-1418, September.
    • Handle: RePEc:spr:scient:v:112:y:2017:i:3:d:10.1007_s11192-017-2426-7
    DOI: 10.1007/s11192-017-2426-7
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    References listed on IDEAS

    as
    1. Stirling, Andrew, 1994. "Diversity and ignorance in electricity supply investment : Addressing the solution rather than the problem," Energy Policy, Elsevier, vol. 22(3), pages 195-216, March.
    2. Kenneth E. Boulding, 1956. "General Systems Theory--The Skeleton of Science," Management Science, INFORMS, vol. 2(3), pages 197-208, April.
    3. van Raan, A. F. J. & van Leeuwen, Th. N., 2002. "Assessment of the scientific basis of interdisciplinary, applied research: Application of bibliometric methods in Nutrition and Food Research," Research Policy, Elsevier, vol. 31(4), pages 611-632, May.
    4. Alan L Porter & J David Roessner & Alex S Cohen & Marty Perreault, 2006. "Interdisciplinary research: meaning, metrics and nurture," Research Evaluation, Oxford University Press, vol. 15(3), pages 187-195, December.
    5. Jian Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    6. Wang, Qi & Waltman, Ludo, 2016. "Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 347-364.
    7. Huutoniemi, Katri & Klein, Julie Thompson & Bruun, Henrik & Hukkinen, Janne, 2010. "Analyzing interdisciplinarity: Typology and indicators," Research Policy, Elsevier, vol. 39(1), pages 79-88, February.
    8. Alexis-Michel Mugabushaka & Anthi Kyriakou & Theo Papazoglou, 2016. "Bibliometric indicators of interdisciplinarity: the potential of the Leinster–Cobbold diversity indices to study disciplinary diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 593-607, May.
    9. Ludo Waltman & Nees Jan van Eck, 2012. "A new methodology for constructing a publication‐level classification system of science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    10. Joachim Schummer, 2004. "Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 425-465, March.
    11. Alan L. Porter & Alex S. Cohen & J. David Roessner & Marty Perreault, 2007. "Measuring researcher interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 117-147, July.
    12. Dorta-González, Pablo & Dorta-González, María Isabel & Santos-Peñate, Dolores Rosa & Suárez-Vega, Rafael, 2014. "Journal topic citation potential and between-field comparisons: The topic normalized impact factor," Journal of Informetrics, Elsevier, vol. 8(2), pages 406-418.
    13. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science Policy Research Unit, University of Sussex Business School.
    14. Ludo Waltman & Nees Jan Eck, 2012. "A new methodology for constructing a publication-level classification system of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    15. Rinia, E. J. & van Leeuwen, Th. N. & van Vuren, H. G. & van Raan, A. F. J., 2001. "Influence of interdisciplinarity on peer-review and bibliometric evaluations in physics research," Research Policy, Elsevier, vol. 30(3), pages 357-361, March.
    16. Alan L. Porter & Ismael Rafols, 2009. "Is science becoming more interdisciplinary? Measuring and mapping six research fields over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 719-745, December.
    17. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Di Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    18. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    19. Rørstad, Kristoffer & Aksnes, Dag W., 2015. "Publication rate expressed by age, gender and academic position – A large-scale analysis of Norwegian academic staff," Journal of Informetrics, Elsevier, vol. 9(2), pages 317-333.
    20. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    21. Bourke, Paul & Butler, Linda, 1998. "Institutions and the map of science: matching university departments and fields of research," Research Policy, Elsevier, vol. 26(6), pages 711-718, February.
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    Cited by:

    1. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Grilli, Leonardo, 2021. "The effects of citation-based research evaluation schemes on self-citation behavior," Journal of Informetrics, Elsevier, vol. 15(4).
    2. Giovanni Abramo & Francesca Apponi & Ciriaco Andrea D'Angelo, 2021. "Public–private research collaborations: Longitudinal field‐level analysis of determinants, frequency, and impact," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1405-1427, December.
    3. Elmira Janavi & Mohammad Javad Mansourzadeh & Mojgan Samandar Ali Eshtehardi, 2020. "A methodology for developing scientific diversification strategy of countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2229-2264, December.
    4. Walaszczyk Ludmiła, 2024. "Prestige in Partnership: A Case Study in Leveraging University Excellence to Elevate Brand Success," Marketing of Scientific and Research Organizations, Sciendo, vol. 52(2), pages 88-104.
    5. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2018. "The effects of gender, age and academic rank on research diversification," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 373-387, February.
    6. Giovanni Abramo & Francesca Apponi & Ciriaco Andrea D'Angelo, 2021. "Public-private research collaborations: longitudinal field-level analysis of determinants, frequency and impact," Papers 2103.14857, arXiv.org.
    7. Tracy Klarenbeek & Nelius Boshoff, 2018. "Measuring multidisciplinary health research at South African universities: a comparative analysis based on co-authorships and journal subject categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1461-1485, September.

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