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Few research fields play major role in interdisciplinary grant success

Author

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  • Arif Khan

    (The University of Sydney)

  • Nazim Choudhury

    (The University of South Florida)

  • Shahadat Uddin

    (The University of Sydney)

Abstract

Interdisciplinary research is vital in addressing complex real-world problems. To understand how the scientific workforce is being engaged in the interdisciplinary research, it is important to track the involvement of different research fields over time and the grants that drive the research endeavour. Unfortunately, there has been very little work in this understanding of interdisciplinary research and grant success. In this paper, we analysed the contribution of different disciplines within multidisciplinary research that secured grants. We tracked these contributions over a 10-year period to understand how different research fields evolved over time and played roles in interdisciplinary grant success. We followed a basic statistical approach and proposed a network-based approach to understand relative participation of different disciplines. We found disparities within different disciplines which showed that only few research fields contributed more in the interdisciplinary research grant success.

Suggested Citation

  • Arif Khan & Nazim Choudhury & Shahadat Uddin, 2019. "Few research fields play major role in interdisciplinary grant success," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 237-246, April.
  • Handle: RePEc:spr:scient:v:119:y:2019:i:1:d:10.1007_s11192-019-03043-w
    DOI: 10.1007/s11192-019-03043-w
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    1. Lidia Ceriani & Paolo Verme, 2012. "The origins of the Gini index: extracts from Variabilità e Mutabilità (1912) by Corrado Gini," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(3), pages 421-443, September.
    2. Cowell, F.A., 2000. "Measurement of inequality," Handbook of Income Distribution, in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 2, pages 87-166, Elsevier.
    3. World Economic Forum, 2017. "The Inclusive Growth and Development Report 2017," Working Papers id:11638, eSocialSciences.
    4. van Eck, N.J.P. & Waltman, L., 2007. "Bibliometric Mapping of the Computational Intelligence Field," ERIM Report Series Research in Management ERS-2007-027-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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    Cited by:

    1. Yuxian Liu & Yishan Wu & Sandra Rousseau & Ronald Rousseau, 2020. "Reflections on and a short review of the science of team science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 937-950, November.
    2. Shahadat Uddin & Tasadduq Imam & Mohammad Mozumdar, 2021. "Research interdisciplinarity: STEM versus non-STEM," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 603-618, January.

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