EconPapers    
Economics at your fingertips  
 

Citation analysis of Ph.D. theses with data from Scopus and Google Books

Paul Donner ()
Additional contact information
Paul Donner: Deutsches Zentrum für Hochschul- und Wissenschaftsforschung

Scientometrics, 2021, vol. 126, issue 12, No 5, 9456 pages

Abstract: Abstract This study investigates the potential of citation analysis of Ph.D. theses to obtain valid and useful early career performance indicators at the level of university departments. For German theses from 1996 to 2018 the suitability of citation data from Scopus and Google Books is studied and found to be sufficient to obtain quantitative estimates of early career researchers’ performance at departmental level in terms of scientific recognition and use of their dissertations as reflected in citations. Scopus and Google Books citations complement each other and have little overlap. Individual theses’ citation counts are much higher for those awarded a dissertation award than others. Departmental level estimates of citation impact agree reasonably well with panel committee peer review ratings of early career researcher support.

Keywords: Early career researchers; Ph.D. thesis; Doctoral students; Doctoral degree holders; Citation analysis; Validation; Research performance; Research assessment (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-021-04173-w 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:126:y:2021:i:12:d:10.1007_s11192-021-04173-w

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

DOI: 10.1007/s11192-021-04173-w

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:126:y:2021:i:12:d:10.1007_s11192-021-04173-w