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Bibliometric techniques in the evaluation of federally funded research in the United States

Author

Listed:
  • Diana Hicks
  • Hiroyuki Tomizawa
  • Yoshiko Saitoh
  • Shinichi Kobayashi

Abstract

Research evaluation in the USA historically tended to rely more heavily on peer review than on bibliometric method, but interest in quantitative methods including bibliometrics appears to be growing. In this paper, we discuss the use of bibliometric techniques of research evaluation by the US federal government over the past decade. Within the past decade, commentators have pointed to something of a rebirth of interest in evaluation along with pressure on agencies to develop quantitative indicators. Evaluation of economic and societal outcomes of research has become a priority. Bibliometric method continues to evolve in response to these needs and therefore often finds application in evaluations of federal agency research. Copyright , Beech Tree Publishing.

Suggested Citation

  • Diana Hicks & Hiroyuki Tomizawa & Yoshiko Saitoh & Shinichi Kobayashi, 2004. "Bibliometric techniques in the evaluation of federally funded research in the United States," Research Evaluation, Oxford University Press, vol. 13(2), pages 76-86, August.
  • Handle: RePEc:oup:rseval:v:13:y:2004:i:2:p:76-86
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    Citations

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    Cited by:

    1. David Popp, 2012. "The Role of Technological Change in Green Growth," NBER Working Papers 18506, National Bureau of Economic Research, Inc.
    2. Meyer, Martin, 2006. "Are patenting scientists the better scholars?: An exploratory comparison of inventor-authors with their non-inventing peers in nano-science and technology," Research Policy, Elsevier, vol. 35(10), pages 1646-1662, December.
    3. Boyack, Kevin W. & Klavans, Richard, 2008. "Measuring science–technology interaction using rare inventor–author names," Journal of Informetrics, Elsevier, vol. 2(3), pages 173-182.
    4. Ashkan Ebadi & Andrea Schiffauerova, 2016. "iSEER: an intelligent automatic computer system for scientific evaluation of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 477-498, May.
    5. Christina H. Drew & Kristianna G. Pettibone & Fallis Owen Finch & Douglas Giles & Paul Jordan, 2016. "Automated Research Impact Assessment: a new bibliometrics approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 987-1005, March.
    6. Diana Hicks & Julia Melkers, 2013. "Bibliometrics as a tool for research evaluation," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 11, pages 323-349, Edward Elgar Publishing.
    7. Johann Jacob & Moktar Lamari, 2012. "Factors Influencing Research Performance in Higher Education: An Empirical Investigation," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 6(3), pages 40-49.
    8. Popp, David, 2012. "The role of technological change in green growth," Policy Research Working Paper Series 6239, The World Bank.
    9. Hamid Bouabid & Ben R. Martin, 2009. "Evaluation of Moroccan research using a bibliometric-based approach: investigation of the validity of the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 203-217, February.
    10. Hamid Bouabid & Mohamed Dalimi & Zayer ElMajid, 2011. "Impact evaluation of the voluntary early retirement policy on research and technology outputs of the faculties of science in Morocco," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 125-132, January.
    11. Chams, Nour & Guesmi, Bouali & Gil, Jose M. & Molins, Mireia & Cubel, Rosa, 2021. "Between “Research Producers” and “Research Adopters”: The Role of Knowledge and Innovation Transfer on Sustainability Impact," 2021 Conference, August 17-31, 2021, Virtual 315264, International Association of Agricultural Economists.

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