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Bibliometrics as a tool for research evaluation

In: Handbook on the Theory and Practice of Program Evaluation

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  • Diana Hicks
  • Julia Melkers

Abstract

As this volume demonstrates, a wide variety of methodologies exist to evaluate particularly the objectives and outcomes of research and development programs. These include surveys, statistical and econometric estimations, patent analyses, bibliometrics, scientometrics, network analyses, case studies, and historical tracings. Contributors divide these and other methods and applications into four categories – economic, non-economic, hybrid and data-driven – in order to discuss the many factors that affect the utility of each technique and how that impacts the technological, economic and societal forecasts of the programs in question.

Suggested Citation

  • 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.
  • Handle: RePEc:elg:eechap:14384_11
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    References listed on IDEAS

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    2. Albert N. Link & Nicholas S. Vonortas (ed.), 2013. "Handbook on the Theory and Practice of Program Evaluation," Books, Edward Elgar Publishing, number 14384.
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    10. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
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    Cited by:

    1. Martín de Diego, Isaac & González-Fernández, César & Fernández-Isabel, Alberto & Fernández, Rubén R. & Cabezas, Javier, 2021. "System for evaluating the reliability and novelty of medical scientific papers," Journal of Informetrics, Elsevier, vol. 15(4).
    2. Adriana Bin & Sergio Salles-Filho & Luiza Maria Capanema & Fernando Antonio Basile Colugnati, 2015. "What difference does it make? Impact of peer-reviewed scholarships on scientific production," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1167-1188, February.

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