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Accounting of Scientometric Indicators for Management of Scientific Activity

Author

Listed:
  • Oleh Moroz

    (Vinnytsia National Technical University, Vinnytsia, Ukraine)

  • Olena Shtovba

    (Vinnytsia National Technical University, Vinnytsia, Ukraine)

Abstract

While managing scientific activity, scientometric indicators of scientists are increasingly being taken into account. Usually they are used for solving the following tasks: 1) preliminary screening of candidates for the various competitions for positions or awards; 2) rating and related incentives for the best scientists; 3) preliminary screening of requests for funding scientific projects; 4) evaluation of scientific experience of executors, which is considered as a part of integrated indicator of request quality. The aim of the article is critical analysis of the main scientometric indicators, which are used for evaluation of scientist activity and also revealing methods for detection and neutralization of winding up classic scientometric indicators. Methods of taking into account additional information are revealed, such as number of co-authors, magazine status, scientific experience, contractual quotation, etc. Scientometric pitfalls are determined, which are related to hidden and informal references and errors in list of references. Method of filtration of winding up Hirsch index is described by ways of statistical approximation of distribution of quotations.

Suggested Citation

  • Oleh Moroz & Olena Shtovba, 2017. "Accounting of Scientometric Indicators for Management of Scientific Activity," Oblik i finansi, Institute of Accounting and Finance, issue 1, pages 174-179, March.
    • Handle: RePEc:iaf:journl:y:2017:i:1:p:174-179
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    References listed on IDEAS

    as
    1. Guns, Raf & Rousseau, Ronald, 2009. "Real and rational variants of the h-index and the g-index," Journal of Informetrics, Elsevier, vol. 3(1), pages 64-71.
    2. Schreiber, Michael, 2008. "A modification of the h-index: The hm-index accounts for multi-authored manuscripts," Journal of Informetrics, Elsevier, vol. 2(3), pages 211-216.
    3. Frances Ruane & Richard S. J. Tol, 2008. "Rational (successive) h-indices: An application to economics in the Republic of Ireland," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 395-405, May.
    4. Fiorenzo Franceschini & Domenico Maisano & Anna Perotti & Andrea Proto, 2010. "Analysis of the ch-index: an indicator to evaluate the diffusion of scientific research output by citers," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 203-217, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    management of scientific activity; scientometrics; citation indexes; winding citations; modifications of the Hirsch index;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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