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

Manuel J. Cobo · Francisco Chiclana · Andrew C. Collop · Juan de Oña · Enrique Herrera‐Viedma

156 citations0/0 files storedIEEE Transactions on Intelligent Transportation Systems

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scientometrics and bibliometrics research Transportation Systems and Logistics Psychology Research and Bibliometrics

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, which is based on co-word analysis, combines performance analysis and science mapping. To show the conceptual evolution of ITS, three consecutive periods have been defined, i.e., 1992-2001, 2002-2006, and 2007-2011. We have identified that the ITS research has been focused on six main thematic areas, i.e., VEHICLE-AND-ROAD-TRACKING, DRIVER-BEHAVIOR-AND-SAFETY, SCENARIOS-SIMULATION, TRAFFIC-FLOW-AND-TRAFFIC-MANAGEMENT, VEHICLE-CONTROL, and VEHICLE-NAVIGATION.

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References

2011Science mapping software tools: Review, analysis, and cooperative study among tools 2010An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field 2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors 1991Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry 1983From translations to problematic networks: An introduction to co-word analysis 2012SciMAT : A new science mapping analysis software tool 2005Handbook of Quantitative Science and Technology Research 2009h-Index: A review focused in its variants, computation and standardization for different scientific fields

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