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The effects of gender, age and academic rank on research diversification

Author

Listed:
  • Giovanni Abramo

    (National Research Council of Italy)

  • Ciriaco Andrea D’Angelo

    (National Research Council of Italy
    Università degli Studi di Roma “Tor Vergata”)

  • Flavia Di Costa

    (Research Value s.r.l)

Abstract

In this work we analyze the combined effects of gender, age and academic rank on the propensity of individual scholars to diversify their scientific activity. The aspect of research diversification is measured along three main dimensions, namely its extent and intensity and the cognitive relatedness of the fields of diversification. We apply two regression models to the dataset of scientific output of all Italian professors in the sciences over the period 2004–2008. The aim is to understand how personal and organizational traits can influence individual behaviors in terms of research diversification. Among other considerations, our findings urge caution in identifying research diversification as a co-determinant of the gender productivity gap between males and females.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:114:y:2018:i:2:d:10.1007_s11192-017-2529-1
    DOI: 10.1007/s11192-017-2529-1
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    References listed on IDEAS

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    13. 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.
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    2. Lawson, Cornelia & Salter, Ammon, 2023. "Exploring the effect of overlapping institutional applications on panel decision-making," Research Policy, Elsevier, vol. 52(9).
    3. Shufang Huang & Jin Chen & Liang Mei & Weiqiao Mo, 2019. "The Effect of Heterogeneity and Leadership on Innovation Performance: Evidence from University Research Teams in China," Sustainability, MDPI, vol. 11(16), pages 1-14, August.
    4. Driss El Kadiri Boutchich, 2020. "Factors with significant impact on efficiency of research laboratories: case of the public university," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1317-1333, August.
    5. Balázs Győrffy & Gyöngyi Csuka & Péter Herman & Ádám Török, 2020. "Is there a golden age in publication activity?—an analysis of age-related scholarly performance across all scientific disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1081-1097, August.
    6. Qinwei Cao & Qiaoyu Meng & Can Wang & Jing Wang & Wanchun Duan, 2023. "The task coordination method of intelligence‐alliance innovation team of universities in Western China," Journal of Regional Science, Wiley Blackwell, vol. 63(2), pages 503-524, March.
    7. Creso Sá & Summer Cowley & Magdalena Martinez & Nadiia Kachynska & Emma Sabzalieva, 2020. "Gender gaps in research productivity and recognition among elite scientists in the U.S., Canada, and South Africa," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.
    8. 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).
    9. Xiaozan Lyu & Rodrigo Costas, 2021. "Studying the characteristics of scientific communities using individual-level bibliometrics: the case of Big Data research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6965-6987, August.
    10. 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.
    11. João M. Santos & Hugo Horta & Huan Li, 2022. "Are the strategic research agendas of researchers in the social sciences determinants of research productivity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3719-3747, July.

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