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Exploring the Author Affiliation Index

Author

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  • Timothy D. Fry

    (University of South Carolina)

  • Joan M. Donohue

    (University of South Carolina)

Abstract

The Author Affiliation Index (AAI) for ranking a set of academic journals was first presented by Gorman and Kanet (Manuf Serv Oper Manag 7:3–19, 2005). Since that time, it has become a popular method for assessing journal quality in a myriad of academic disciplines. However, a recent paper published by Agrawal et al. (Prod Oper Manag 20:280–300, 2011) pointed out several potential problems with the AAI. In this paper, we present a modified AAI that incorporates several improvements to the original AAI and addresses the three concerns expressed by Agrawal. The modified AAI allows for international institutions, introduces a weighting factor to allow for a greatly expanded set of prestigious institutions, considers the entire population of articles published in a journal during a specified time period, and utilizes a batch means approach to data collection to allow for proper statistical inference. We illustrate the modified AAI using a set of ten well-known journals that publish Operations Research and Operations Management research. The primary intent of this paper, however, is not to rank these ten journals; rather these ten journals are simply used to illustrate the use of the newly developed modified AAI.

Suggested Citation

  • Timothy D. Fry & Joan M. Donohue, 2014. "Exploring the Author Affiliation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1647-1667, March.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1133-2
    DOI: 10.1007/s11192-013-1133-2
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    References listed on IDEAS

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    Cited by:

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    4. Laura Vana & Ronald Hochreiter & Kurt Hornik, 2016. "Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 229-251, January.
    5. Ziqiang Zeng & Lantian Shi, 2021. "A two-dimensional journal classification method based on output and input factors: perspectives from citation and authorship related indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3929-3964, May.

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