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

Brady Lund ()
Additional contact information
Brady Lund: Emporia State University

Scientometrics, 2019, vol. 120, issue 2, No 25, 897-915

Abstract: 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.

Keywords: H-index; Hirsch index; Scientific output; Research productivity; Library and information science; Citation index; Library and information science faculty (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-019-03152-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:120:y:2019:i:2:d:10.1007_s11192-019-03152-6

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-019-03152-6

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().