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Interfield comparison of academic output by using department level data

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  • Tolga Yuret

    (Istanbul Technical University)

Abstract

Tenure decisions and university rankings are just two examples where interfield comparison of academic output is needed. There are differences in publication performances among fields when the number of papers is used as the quantity measure and the Journal Impact Factor is used as the quality measure. For example, it is well known that the economics departments publish less than the chemistry departments and their journals have less impact factors. But there is no consensus on the magnitude of the difference and the methodology for the adjustment. Every decision maker makes his own adjustment and uses a different formula. In this paper, we quantify the publication performance differences among nine academic fields by using data from 1417 departments in the United States. We use two quality measures. First we weigh the publications by the impact factor of the journals. Second, we only consider the publications in the journals that are in the top quartile of the subject categories. We see that there are vast interfield differences in terms of the number of publications. Moreover, we find that the interfield differences are augmented when we consider the quality of the publications. Lastly, we rank the departments according to the quality of their graduate programs. We see that there are also huge differences among the departments with graduate programs of comparable rank.

Suggested Citation

  • Tolga Yuret, 2015. "Interfield comparison of academic output by using department level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1653-1664, December.
  • Handle: RePEc:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1621-7
    DOI: 10.1007/s11192-015-1621-7
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    References listed on IDEAS

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    Cited by:

    1. Tolga Yuret, 2016. "Does alphabetization significantly affect academic careers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1603-1619, September.
    2. Yuret, Tolga, 2016. "Interfield equality: Journals versus researchers," Journal of Informetrics, Elsevier, vol. 10(4), pages 1196-1206.
    3. Tolga Yuret, 2018. "Tenure and turnover of academics in six undergraduate programs in the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 101-124, July.
    4. Tolga Yuret, 2016. "International trade in ideas," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 899-916, June.
    5. Tolga Yuret, 2018. "Author-weighted impact factor and reference return ratio: can we attain more equality among fields?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2097-2111, September.
    6. Thomas C. Erren & J. Valérie Groß, 2016. "Research metrics: What about weighted citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 315-316, April.
    7. James C. Ryan, 2016. "A validation of the individual annual h-index (hIa): application of the hIa to a qualitatively and quantitatively different sample," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 577-590, October.
    8. Rons, Nadine, 2018. "Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references," Journal of Informetrics, Elsevier, vol. 12(1), pages 113-132.

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