Telescopic and panoramic views of library and information science research 2011–2018: a comparison of four weighting schemes for author co-citation analysis

Dangzhi Zhao () and Andreas Strotmann
Additional contact information
Dangzhi Zhao: University of Alberta
Andreas Strotmann: ScienceXplore

Scientometrics, 2020, vol. 124, issue 1, No 11, 255-270

Abstract: Abstract This study explores weighted author co-citation analysis (ACA) through a comparison of results from four weighted citation counting methods. The data set used comprises full-text research articles published in four top-tier library and information science (LIS) journals from 2011 to 2018. It finds that in-text frequency-weighted counting performs as well as traditional counting in identifying major dimensions of the LIS field but also shows more detail. Re-citation-based counting appears to highlight well-integrated specialties and weaken the presence of more fragmented ones compared to traditional counting. In-text frequency weighted re-citation counting, expected to highlight “deep” impact, appears to effectively zoom into the field to show intense streams of research within it, but fail to identify major dimensions of the field, essentially providing a telescopic view of the LIS field instead of the panoramic one that the other three methods provide. Measuring deep impact may be interesting and important for research evaluation but fails to retain the broader context that makes the visualizations of research fields so informative. It appears that what may be “noise” when considering impact of individuals can provide the context that allows us to see the forest for the trees when examining intellectual structures of research fields as in the case of traditional ACA.

Keywords: Weighted citation analysis; Author co-citation analysis; Bibliometrics; Intellectual structure; Library and information science (search for similar items in EconPapers)
Date: 2020
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/s11192-020-03462-0 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:124:y:2020:i:1:d:10.1007_s11192-020-03462-0

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

DOI: 10.1007/s11192-020-03462-0

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 ().