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A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping

IEEE Transactions on Intelligent Transportation SystemsPublished 19 November 2013Open access
Manuel J. Cobo, Francisco Chiclana, Andrew C. Collop, Juan de Oña, Enrique Herrera‐Viedma
Citations151
SJR quartileQ1
SJR score2.59
SNIP2.91
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TL;DR

An automatic approach for detecting and visualizing hidden themes and their evolution across a consecutive span of years is applied, which is based on co-word analysis and science mapping.

Abstract

In this paper we highlight the conceptual structure of the Intelligent Transportation Systems (ITS) research field in the period 1992-2011. To do that, an automatic approach for detecting and visualizing hidden themes and their evolution across a consecutive span of years is applied. This automatic approach, based on co-word analysis, combines performance
\nanalysis and science mapping. To show the conceptual evolution of ITS, three consecutive periods have been defined: 1992-2001, 2002-2006, 2007-2011. We have identified that the
\nITS research has been focused on six main thematic areas: VEHICLE-AND-ROAD-TRACKING, DRIVER-BEHAVIORAND-SAFETY, SCENARIOS-SIMULATION, TRAFFIC-FLOWAND-TRAFFIC-MANAGEMENT, VEHICLE-CONTROL and VEHICLE-NAVIGATION.

Keywords

Computer ScienceEngineering