EconPapers    
Economics at your fingertips  
 

Patterns of annual citation of highly cited articles and the prediction of their citation ranking: A comparison across subjects

Jonathan M. Levitt () and Mike Thelwall
Additional contact information
Jonathan M. Levitt: University of Wolverhampton
Mike Thelwall: University of Wolverhampton

Scientometrics, 2008, vol. 77, issue 1, No 3, 60 pages

Abstract: Abstract High citation is associated with research quality and consequently findings on highly cited articles are useful to increase understanding of the factors that produce high quality research. This study explores highly cited articles in six subjects, focusing on late citation and peak citation years. Longitudinal citation patterns were found to be highly varied and, on average, different from the remaining articles in each subject. For four of the six subjects, there is a correlation of over 0.42 between the percentage of early citations and total citation ranking but more highly ranked articles had a lower percentage of early citations. Surprisingly, for highly cited articles in all six subjects the prediction of citation ranking of from the sum of citations during their first six years was less accurate than prediction using the sum of the citations for only the fifth and sixth year.

Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-007-1946-y 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:77:y:2008:i:1:d:10.1007_s11192-007-1946-y

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

DOI: 10.1007/s11192-007-1946-y

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:77:y:2008:i:1:d:10.1007_s11192-007-1946-y