IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v119y2019i1d10.1007_s11192-019-03043-w.html
   My bibliography  Save this article

Few research fields play major role in interdisciplinary grant success

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-019-03043-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-019-03043-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. World Economic Forum, 2017. "The Inclusive Growth and Development Report 2017," Working Papers id:11638, eSocialSciences.
    2. 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.
    3. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James Alm & Ruslan Grigoryev & Marat Kramin & Timur Kramin, 2016. "Testing Kuznets’ Hypothesis for Russian Regions: Trends and Interpretations," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 560-568.
    2. Oded Stark & Wiktor Budzinski, 2021. "A social‐psychological reconstruction of Amartya Sen’s measures of inequality and social welfare," Kyklos, Wiley Blackwell, vol. 74(4), pages 552-566, November.
    3. Francesco Andreoli & Eugenio Peluso, 2016. "So close yet so unequal: Reconsidering spatial inequality in U.S. cities," Working Papers 21/2016, University of Verona, Department of Economics.
    4. Flachaire, Emmanuel & Nunez, Olivier, 2007. "Estimation of the income distribution and detection of subpopulations: An explanatory model," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3368-3380, April.
    5. Filippo Corsini & Rafael Laurenti & Franziska Meinherz & Francesco Paolo Appio & Luca Mora, 2019. "The Advent of Practice Theories in Research on Sustainable Consumption: Past, Current and Future Directions of the Field," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    6. Christoph Dörffel & Sebastian Schuhmann, 2020. "What is Inclusive Development? Introducing the Multidimensional Inclusiveness Index," Jena Economics Research Papers 2020-015, Friedrich-Schiller-University Jena.
    7. Casilda Lasso de la Vega & Ana Urrutia & Oscar Volij, 2011. "An Axiomatic Characterization Of The Theil Inequality Order," Working Papers 1103, Ben-Gurion University of the Negev, Department of Economics.
    8. Jo Thori Lind & Karl Moene, 2011. "Miserly Developments," Journal of Development Studies, Taylor & Francis Journals, vol. 47(9), pages 1332-1352, June.
    9. Ada Ferrer-i-Carbonell & Bernard Van Praag, 2003. "Income Satisfaction Inequality and its Causes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(2), pages 107-127, August.
    10. Serhat Burmaoglu & Ozcan Saritas, 2019. "An evolutionary analysis of the innovation policy domain: Is there a paradigm shift?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 823-847, March.
    11. Frick, Joachim R. & Grabka, Markus M. & Smeeding, Timothy M. & Tsakloglou, Panos, 2010. "Distributional Effects of Imputed Rents in Five European Countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19(3), pages 167-179.
    12. Cathelijn J. F. Waaijer & Cornelis A. Bochove & Nees Jan Eck, 2011. "On the map: Nature and Science editorials," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 99-112, January.
    13. Thomas Fischer, 2012. "Inequality and Financial Markets - A Simulation Approach in a Heterogeneous Agent Model," Lecture Notes in Economics and Mathematical Systems, in: Andrea Teglio & Simone Alfarano & Eva Camacho-Cuena & Miguel Ginés-Vilar (ed.), Managing Market Complexity, edition 127, chapter 0, pages 79-90, Springer.
    14. Eirini Andriopoulou & Eleni Kanavitsa & Chrysa Leventi, 2020. "The distributional impact of recurrent immovable property taxation in Greece," Public Sector Economics, Institute of Public Finance, vol. 44(4), pages 505-528.
    15. Francois, Joseph & Rojas-Romagosa, Hugo, 2005. "The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets," CEPR Discussion Papers 5214, C.E.P.R. Discussion Papers.
    16. Álvaro Labella & Juan Carlos Rodríguez-Cohard & José Domingo Sánchez-Martínez & Luis Martínez, 2020. "An AHPSort II Based Analysis of the Inequality Reduction within European Union," Mathematics, MDPI, vol. 8(4), pages 1-21, April.
    17. P. Jenkins, Stephen & A. Cowell, Frank, 2000. "Estimating welfare indices: household weights and sample design," ISER Working Paper Series 2000-23, Institute for Social and Economic Research.
    18. Teixidó Figueras, Jordi & Duro Moreno, Juan Antonio, 2012. "Ecological Footprint Inequality: A methodological review and some results," Working Papers 2072/203168, Universitat Rovira i Virgili, Department of Economics.
    19. Frank Cowell & Udo Ebert, 2004. "Complaints and inequality," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 23(1), pages 71-89, August.
    20. Nicolas Taconet & Aurélie Méjean & Céline Guivarch, 2020. "Influence of climate change impacts and mitigation costs on inequality between countries," Climatic Change, Springer, vol. 160(1), pages 15-34, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:119:y:2019:i:1:d:10.1007_s11192-019-03043-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.