Work

Analyzing Highly Cited Papers in Intelligent Transportation Systems

Year: 2015

Type: article

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.

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2015.2494533

Authors: Jose A. Moral-Munoz, Manuel J. Cobo, Francisco Chiclana, Andrew Collop, Enrique Herrera-Viedma

Institutions: Universidad de Granada, Universidad de Cádiz, De Montfort University

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W2267180230