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Implications of Cross-disciplinarity: Estimating the “Paper Drain” in Development Studies

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  • Sergio Tezanos

    (Universidad de Cantabria)

  • Carmen Trueba

    (Universidad de Cantabria)

Abstract

Why does the cross-disciplinary field of “development studies” have relatively low “journal impact indicators” in comparison with other mono-disciplinary fields of study? We argue that a reasonable explanation is the existence of a “paper drain” phenomenon: a certain proportion of the papers dealing with development is eventually published in journals that are assigned to other (non-development) fields. We conceptualize the paper drain phenomenon and empirically estimate its size for the field of development studies. Running an algorithmic procedure on the Scopus database, we identify six “key development issues” and estimate that the subject category of “development” is approximately publishing 28% of the papers dealings with these issues within the Social Sciences. The remaining 72% are “draining” to other (non-development) categories. We offer some recommendations in order to rise the scientific impact (and influence) of development studies, such as increasing the number of journals covered by the impact indicators.

Suggested Citation

  • Sergio Tezanos & Carmen Trueba, 2022. "Implications of Cross-disciplinarity: Estimating the “Paper Drain” in Development Studies," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(3), pages 1542-1572, June.
  • Handle: RePEc:pal:eurjdr:v:34:y:2022:i:3:d:10.1057_s41287-021-00433-w
    DOI: 10.1057/s41287-021-00433-w
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    1. E. Garfield & I. H. Sher, 1963. "New factors in the evaluation of scientific literature through citation indexing," American Documentation, Wiley Blackwell, vol. 14(3), pages 195-201, July.
    2. David Hulme & John Toye, 2006. "The case for cross-disciplinary social science research on poverty, inequality and well-being," Journal of Development Studies, Taylor & Francis Journals, vol. 42(7), pages 1085-1107.
    3. 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.
    4. González-Pereira, Borja & Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2010. "A new approach to the metric of journals’ scientific prestige: The SJR indicator," Journal of Informetrics, Elsevier, vol. 4(3), pages 379-391.
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