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Predicting faculty job centrality in communication

Author

Listed:
  • Thomas Hugh Feeley

    (University at Buffalo, The State University of New York)

  • Katherine Hart LaVail

    (University at Buffalo, The State University of New York)

  • George A. Barnett

    (University of California, Davis)

Abstract

Data from 1,581 faculty members affiliated with 98 doctoral-granting Communication programs in the United States were analyzed to determine normative publication rates and predictors of position centrality in the faculty hiring network. The Communication Institute for Online Scholarship (CIOS) database was used to measure publication frequency in refereed journals. Position centrality was measured using a Communication program’s relative position in the hiring network as established by Barnett, Danowski, Feeley, and Stalker (2010). The average publication frequencies by academic rank were as follows: assistant professors averaged 2.29 articles (N = 441, SD = 3.29); associate professors averaged 6.69 articles (N = 497, SD = 5.77); professors averaged 10.92 articles (N = 542, SD = 12.09). Results from multiple regression analyses indicate the number of publications for faculty members and position centrality of where one earned his or her doctoral degree significantly predicted current position centrality. Publication numbers for one’s advisor and year of earned doctorate did not emerge as significant predictors of position centrality.

Suggested Citation

  • Thomas Hugh Feeley & Katherine Hart LaVail & George A. Barnett, 2011. "Predicting faculty job centrality in communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 303-314, May.
    • Handle: RePEc:spr:scient:v:87:y:2011:i:2:d:10.1007_s11192-010-0324-3
    DOI: 10.1007/s11192-010-0324-3
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    References listed on IDEAS

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    1. Paul J. Pieper & Rachel A. Willis, 1999. "The Doctoral Origins of Economics Faculty and the Education of New Economics Doctorates," The Journal of Economic Education, Taylor & Francis Journals, vol. 30(1), pages 80-88, January.
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    Cited by:

    1. Darrin J. Griffin & San Bolkan & Jennifer L. Holmgren & Frank Tutzauer, 2016. "Central journals and authors in communication using a publication network," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 91-104, January.
    2. Maria Cristiana Martini & Elvira Pelle & Francesco Poggi & Andrea Sciandra, 2022. "The role of citation networks to explain academic promotions: an empirical analysis of the Italian national scientific qualification," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5633-5659, October.
    3. Massimiliano Ferrara & Roberto Mavilia & Bruno Antonio Pansera, 2017. "Extracting knowledge patterns with a social network analysis approach: an alternative methodology for assessing the impact of power inventors," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1593-1625, December.

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