Research strengths identified by esteem and bibliometric indicators: a case study at the University of Vienna

Johannes Sorz (), Wolfgang Glänzel (), Ursula Ulrych (), Christian Gumpenberger () and Juan Gorraiz ()
Additional contact information
Johannes Sorz: University of Vienna
Wolfgang Glänzel: KU Leuven
Ursula Ulrych: University of Vienna
Christian Gumpenberger: University of Vienna
Juan Gorraiz: University of Vienna

Scientometrics, 2020, vol. 125, issue 2, No 17, 1095-1116

Abstract: Abstract The identification of one’s own research strengths is of crucial importance for research administration at universities. In this case study, two different approaches were applied to the University of Vienna. The first relies on funding and rankings information as well as on other esteem indicators. The second is based on a bibliometric analysis of the publication output. We used two alternative clusterings for publications for the bibliometric analysis: Web of Science subject categories and lists of researchers associated with esteem-indicators. Both, esteem-indicators and bibliometric analysis proved to be useful in identifying research strengths, lead to similar results and are meant to be used together to complement each other. We found that the greatest hindrance in the bibliometric approach lies in the inherent limitations of journals-assignment-based classification systems and the considerable time and efforts for more accurate researcher-based publication analyses. Further investigation on this subject, including new and alternative metrics, is needed and will be conducted in the future. However, the preliminary results already demonstrate the benefits of using esteem-factors together with bibliometric analyses for research strengths definition of universities.

Keywords: Bibliometric indicators; Esteem factors; Institutional research strengths; University management; Science administration; Citation analysis; Citation impact analysis (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/s11192-020-03672-6 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:125:y:2020:i:2:d:10.1007_s11192-020-03672-6

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

DOI: 10.1007/s11192-020-03672-6

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 ().