Research collaboration and ITS topic evolution: 10 years at T-ITS

  • Authors:

  • Linjing Li;Xin Li;Changjian Cheng;Cheng Chen;Guanyan Ke;Daniel Dajun Zeng;William T. Scherer

  • Affiliations:

  • Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing, China;Department of Information Systems, City University of Hong Kong, Kowloon, Hong Kong;Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing, China;Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing, China;College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, China;Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing, China and Department of Management Information Systems, University of Ari ...;Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA

  • Venue:
  • IEEE Transactions on Intelligent Transportation Systems
  • Year:
  • 2010

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Abstract

This paper investigates the collaboration patterns and research topic trends in the publications of the IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (T-ITS) over the past decade. We find that coauthorship is prevalent and that the coauthorship networks possess the scale-free property on high degree nodes. Collaborations usually occur within the same research institutions and countries. Interorganization/region collaboration structures are usually connected through a few productive/high-impact authors. Typical international collaborations are between the U.S. and other countries such as China, Germany, U.K., and Italy. Active topics studied in IEEE TITS publications in the past ten years include traffic management and machine vision, among others. Authors can be partitioned into common interest groups, of which machine vision and automatic vehicle control attract more researchers.