Research Collaboration and ITS Topic Evolution: 10 Years at T-ITS

被引:31
作者
Li, Linjing [1 ]
Li, Xin [2 ]
Cheng, Changjian [1 ]
Chen, Cheng [1 ]
Ke, Guanyan [3 ]
Zeng, Daniel Dajun [1 ,4 ]
Scherer, William T. [5 ]
机构
[1] Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Inst Automat, Beijing 100190, Peoples R China
[2] City Univ Hong Kong, Dept Informat Syst, Kowloon, Hong Kong, Peoples R China
[3] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China
[4] Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA
[5] Univ Virginia, Dept Syst & Informat Engn, Charlottesville, VA 22904 USA
基金
中国国家自然科学基金;
关键词
Coauthorship network; intelligent transportation systems (ITS); scientific collaboration; social network analysis; topic analysis; PEDESTRIAN-DETECTION; COMMUNITY STRUCTURE; NETWORKS; CLASSIFICATION; PERFORMANCE; PATTERNS; SYSTEMS;
D O I
10.1109/TITS.2010.2059070
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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 T-ITS 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.
引用
收藏
页码:517 / 523
页数:7
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