Exploring the Author Affiliation Index

Timothy D. Fry () and Joan M. Donohue ()
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Timothy D. Fry: University of South Carolina
Joan M. Donohue: University of South Carolina

Scientometrics, 2014, vol. 98, issue 3, No 6, 1647-1667

Abstract: 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.

Keywords: Author Affiliation Index; Journal quality; Research (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11192-013-1133-2

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