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Examination of correlates of H-index as a measure of research productivity for library and information science faculty in the United States and Canada

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  • Brady Lund

    (Emporia State University)

Abstract

This research analyzes research productivity among Library and Information Science (LIS) faculty based on number of publications and citations throughout the careers of tenure-track and tenured professors in LIS schools with an American Library Association-accredited Master of LIS program. The h-index is examined as a representative measure of LIS faculty output using a regression analysis. Based on observed variance in h-index and other research productivity measures across LIS schools, a regression is conducted based on several variables that distinguish these schools: Research 1 status, proportion of faculty who are full professors, where the university is located, whether the LIS school has a Ph.D. program, and whether the school is a member of the iSchool consortium. Findings indicate that h-index effectively represents the relative number of publications and citations a professor has while mitigating the impact of a few highly-cited publications that are not representative of an entire body of work. In addition to Research 1 status and proportion of full professors, iSchool membership is identified as a factor that influences a LIS school’s h-index vale. These findings have relevance to LIS readers interested in analyzing productivity of individual researchers and schools, researchers interested in the measurement of the effect of the h-index value on evaluating research productivity, and readers interested in the impact of the iSchool movement on research in LIS.

Suggested Citation

  • Brady Lund, 2019. "Examination of correlates of H-index as a measure of research productivity for library and information science faculty in the United States and Canada," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 897-915, August.
    • Handle: RePEc:spr:scient:v:120:y:2019:i:2:d:10.1007_s11192-019-03152-6
    DOI: 10.1007/s11192-019-03152-6
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    References listed on IDEAS

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    Cited by:

    1. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2021. "Characterizing research leadership on geographically weighted collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4005-4037, May.

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