Analyzing highly cited papers in Intelligent Transportation Systems
Date
2015-11-11
Advisors
Journal Title
Journal ISSN
ISSN
1524-9050
Volume Title
Publisher
IEEE
Type
Article
Peer reviewed
Yes
Abstract
Citation classics offer an outlook on those papers that have attracted great and historical interest by a research community and that could be also considered the basis of the research field. A new approach, which is called H-Classics, has been developed to identify such highly cited papers. It is based on the H-index and is sensitive to both the own characteristics of the corresponding research discipline and its evolution. The present study provides a useful insight into the development of the intelligent transport systems research field, revealing those scientific actors (authors, countries, and institutions) that have made the biggest research contribution to its development.
Description
The file attached to this record is the authors accepted manuscript version. The publisher retains the copyright. The publisher's final version can be found by following the DOI link.
Keywords
H-Classics, H-index, bibliometrics, highly cited papers, intelligent transportation systems, Artificial intelligence, Computer science, Information services, Vehicles
Citation
Moral-Munoz, J.A. (2015) Analyzing highly cited papers in Intelligent Transportation Systems. IEEE Transactions Intelligent Transportation Systems. 11 November 2015 (online first). doi: 10.1109/TITS.2015.2494533