A bibliometric analysis of the Intelligent transportation systems based on science mapping
dc.contributor.author | Cobo, M. J. | en |
dc.contributor.author | Chiclana, Francisco | en |
dc.contributor.author | Collop, Andy | en |
dc.contributor.author | de Ona, Juan | en |
dc.contributor.author | Herrera-Viedma, Enrique | en |
dc.date.accessioned | 2014-04-14T09:49:00Z | |
dc.date.available | 2014-04-14T09:49:00Z | |
dc.date.issued | 2014-04 | |
dc.description.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 analysis 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 ITS 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. | en |
dc.funder | Andalusian and Spanish Research Councils | en |
dc.identifier.citation | Cobo, M.J., Chiclana, F., Collop, A., de Oña, J. and Herrera-Viedma, E. (2014) A bibliometric analysis of the Intelligent transportation systems based on science mapping. IEEE Transactions on Intelligent Transportation Systems, 15 (2), pp. 901-908. | en |
dc.identifier.doi | https://doi.org/10.1109/TITS.2013.2284756 | |
dc.identifier.uri | http://hdl.handle.net/2086/9884 | |
dc.language.iso | en | en |
dc.peerreviewed | Yes | en |
dc.projectid | TIC-5299, TIC-5991, TIN2010-17876. | en |
dc.publisher | IEEE | en |
dc.researchgroup | Centre for Computational Intelligence | en |
dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
dc.subject | Intelligent Transportation Systems | en |
dc.subject | Science Mapping Analysis | en |
dc.subject | Co-word Analysis | en |
dc.subject | H-index | en |
dc.title | A bibliometric analysis of the Intelligent transportation systems based on science mapping | en |
dc.type | Article | en |
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