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Journal Impact Factor Versus Eigenfactor and Article Influence

Author

Listed:
  • Chia-Lin Chang

    (Department of Applied Economics, National Chung Hsing University)

  • Michael McAleer

    (Erasmus University Rotterdam, Tinbergen Institute, The Netherlands, and Institute of Economic Research, Kyoto University)

  • Les Oxley

    (Department of Economics and Finance, University of Canterbury)

Abstract

This paper examines the practical usefulness of two new journal performance metrics, namely the Eigenfactor score, which is said to measure "importance", and Article Influence score, which is said to measure "prestige", using the most recent ISI data for 2009 for the 200 most highly cited journals in each of the Sciences and Social Sciences, and compares them with two existing ISI metrics, namely Total Citations and the 5-year Impact Factor (5YIF) of a journal. It is shown that the Sciences and Social Sciences are different in terms of the strength of the relationship of journal performance metrics, although the actual relationships are very similar. Moreover, the importance and prestige journal performance metrics are shown to be closely related to the two existing ISI metrics, and hence add little in practical usefulness to what is already known. These empirical results are compared with existing results in the literature.

Suggested Citation

  • Chia-Lin Chang & Michael McAleer & Les Oxley, 2010. "Journal Impact Factor Versus Eigenfactor and Article Influence," KIER Working Papers 737, Kyoto University, Institute of Economic Research.
  • Handle: RePEc:kyo:wpaper:737
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    Cited by:

    1. Daniele Checchi & Gianni De Fraja & Stefano Verzillo, 2014. "Publish or Perish: An Analysis of the Academic Job Market in Italy," Discussion Papers 14/04, University of Nottingham, School of Economics.
    2. Checchi, Daniele & De Fraja, Gianni & Verzillo, Stefano, 2014. "Publish or Perish? Incentives and Careers in Italian Academia," CEPR Discussion Papers 10084, C.E.P.R. Discussion Papers.
    3. Francesco Bartolucci & Valentino Dardanoni & Franco Peracchi, 2015. "Ranking scientific journals via latent class models for polytomous item response data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 1025-1049, October.
    4. Francesco Bartolucci & Valentino Dardanoni & Franco Peracchi, 2013. "Ranking Scientific Journals via Latent Class Models for Polytomous Item Response," EIEF Working Papers Series 1313, Einaudi Institute for Economics and Finance (EIEF), revised May 2013.

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    Keywords

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    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines

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