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Intellectual Infl uence: Quality versus Quantity

Author

Listed:
  • László Á. Kóczy

    () (Óbuda University)

  • Alexandru Nichifor
  • Martin Strobel

Abstract

To take development and budgeting decisions for research activi- ties the officials in charge need to constantly evaluate and assess the quality of research. Over the years a handful of scoring methods for academic journals have been proposed. Discussing the most prominent methods (de facto standards) we show that they cannot distinguish quality from quantity at article level and that they are inherently biased against journals publishing more articles. If we consider the length of a journal by the number of pages or characters, then all methods are biased against lengthier journals. The systematic bias we nd is analytically tractable and implies that the methods are ma- nipulable. We show that the strategies for successful manipulation are relatively easy to infer and implement. The implications of our ndings extend beyond the evaluation of academic research, to related settings like the ranking of web domains. Non-manipulable methods for measuring intellectual in uence exist.

Suggested Citation

  • László Á. Kóczy & Alexandru Nichifor & Martin Strobel, 2010. "Intellectual Infl uence: Quality versus Quantity," Working Paper Series 1009, Óbuda University, Keleti Faculty of Business and Management.
  • Handle: RePEc:pkk:wpaper:1009.rdf
    as

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    File URL: http://uni-obuda.hu/users/vecseya/RePEc/pkk/wpaper/1009.pdf
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    References listed on IDEAS

    as
    1. Ignacio Palacios-Huerta & Oscar Volij, 2004. "The Measurement of Intellectual Influence," Econometrica, Econometric Society, vol. 72(3), pages 963-977, May.
    2. Shoham,Yoav & Leyton-Brown,Kevin, 2009. "Multiagent Systems," Cambridge Books, Cambridge University Press, number 9780521899437, April.
    3. repec:cup:cbooks:9780511474149 is not listed on IDEAS
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    Cited by:

    1. Laszlo A. Koczy & Martin Strobel, 2010. "The World Cup of Economics Journals: A Ranking by a Tournament Method," IEHAS Discussion Papers 1018, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
    2. Bramoullé, Yann & Currarini, Sergio & Jackson, Matthew O. & Pin, Paolo & Rogers, Brian W., 2012. "Homophily and long-run integration in social networks," Journal of Economic Theory, Elsevier, vol. 147(5), pages 1754-1786.

    More about this item

    Keywords

    scoring methods bias; ranking rules bias; impact factor; invariant method; LP method; invariance to article-splitting; quality and quantity in ranking academic journals;

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