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High-Ranked Social Science Journal Articles Can Be Identified from Early Citation Information

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  • David I. Stern

    (Crawford School of Public Policy, The Australian National University)

Abstract

Do citations accumulate too slowly in the social sciences to be used to assess the quality of recent articles? I investigate whether this is the case using citation data for all articles in economics and political science published in 2006 and indexed in the Web of Science. Surprisingly, citations in the first one to two years after publication are highly predictive for cumulative citations received over a longer period. Journal impact factors improve the correlation between the predicted and actual future ranks of journal articles when using citation data from 2006 alone but the effect declines sharply thereafter.

Suggested Citation

  • David I. Stern, 2014. "High-Ranked Social Science Journal Articles Can Be Identified from Early Citation Information," Crawford School Research Papers 1406, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:crwfrp:1406
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    References listed on IDEAS

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    1. Michael J. Stringer & Marta Sales‐Pardo & Luís A. Nunes Amaral, 2010. "Statistical validation of a global model for the distribution of the ultimate number of citations accrued by papers published in a scientific journal," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(7), pages 1377-1385, July.
    2. Bertocchi, Graziella & Gambardella, Alfonso & Jappelli, Tullio & Nappi, Carmela A. & Peracchi, Franco, 2015. "Bibliometric evaluation vs. informed peer review: Evidence from Italy," Research Policy, Elsevier, vol. 44(2), pages 451-466.
    3. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2014. "How to improve the prediction based on citation impact percentiles for years shortly after the publication date?," Journal of Informetrics, Elsevier, vol. 8(1), pages 175-180.
    4. David L. Anderson & John Tressler, 2013. "The New Zealand performance-based research fund and its impact on publication activity in economics," Research Evaluation, Oxford University Press, vol. 23(1), pages 1-11, September.
    5. repec:mod:depeco:0020 is not listed on IDEAS
    6. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2013. "Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P1," Journal of Informetrics, Elsevier, vol. 7(4), pages 933-944.
    7. Glenn D. Walters, 2006. "Predicting subsequent citations to articles published in twelve crime-psychology journals: Author impact versus journal impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(3), pages 499-510, December.
    8. Michael J. Stringer & Marta Sales-Pardo & Luís A. Nunes Amaral, 2010. "Statistical validation of a global model for the distribution of the ultimate number of citations accrued by papers published in a scientific journal," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1377-1385, July.
    9. Michael J Stringer & Marta Sales-Pardo & Luís A Nunes Amaral, 2008. "Effectiveness of Journal Ranking Schemes as a Tool for Locating Information," PLOS ONE, Public Library of Science, vol. 3(2), pages 1-8, February.
    10. George A. Lozano & Vincent Larivière & Yves Gingras, 2012. "The weakening relationship between the impact factor and papers' citations in the digital age," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2140-2145, November.
    11. David I. Stern, 2013. "Uncertainty Measures for Economics Journal Impact Factors," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 173-189, March.
    12. Amin Mazloumian, 2012. "Predicting Scholars' Scientific Impact," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-5, November.
    13. Daniel Sgroi & Andrew J. Oswald, 2013. "How Should Peer‐review Panels Behave?," Economic Journal, Royal Economic Society, vol. 0, pages 255-278, August.
    14. Anne-Wil Harzing, 2013. "Document categories in the ISI Web of Knowledge: Misunderstanding the Social Sciences?," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 23-34, January.
    15. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    16. David N. Laband, 2013. "On the Use and Abuse of Economics Journal Rankings," Economic Journal, Royal Economic Society, vol. 0, pages 223-254, August.
    17. George A. Lozano & Vincent Larivière & Yves Gingras, 2012. "The weakening relationship between the impact factor and papers' citations in the digital age," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2140-2145, November.
    18. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    19. Jonathan Adams, 2005. "Early citation counts correlate with accumulated impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(3), pages 567-581, June.
    20. Jian Wang, 2013. "Citation time window choice for research impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 851-872, March.
    21. Thed Leeuwen, 2012. "Discussing some basic critique on Journal Impact Factors: revision of earlier comments," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 443-455, August.
    22. Jerome K. Vanclay, 2012. "Impact factor: outdated artefact or stepping-stone to journal certification?," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 211-238, August.
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    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics

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