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

Rights

Research Institute