View More View Less
  • 1 University of Wolverhampton Statistical Cybermetrics Research Group, School of Computing and Information Technology Wolverhampton UK
  • | 2 University of Wolverhampton Statistical Cybermetrics Research Group, School of Computing and Information Technology Wulfruna Street Wolverhampton WV1 1SB UK
Restricted access

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.

To see the editorial board, please visit the website of Springer Nature.

Manuscript submission: http://www.editorialmanager.com/scim/

For subscription options, please visit the website of Springer Nature.

Scientometrics
Language English
Size B5
Year of
Foundation
1978
Volumes
per Year
1
Issues
per Year
12
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)