Data Mining for Bibliometric Analysis of Traffic Flow

被引:0
作者
Wu, Chaozhong [1 ]
Lei, Hu [1 ]
Yan, Xinping [1 ]
Zhou, Feng [2 ]
机构
[1] Wuhan Univ Technol, Engn Res Ctr Transportat Safety MOE, Wuhan 430070, Peoples R China
[2] Peking Univ, Coll Environm Sci, Beijing, Peoples R China
来源
PROCEEDINGS OF THE 2009 SECOND PACIFIC-ASIA CONFERENCE ON WEB MINING AND WEB-BASED APPLICATION | 2009年
关键词
Data mining in transportation; traffic flow; bibliometric analysis; transportation; quantitative analyses; MODEL; INFORMATION;
D O I
10.1109/WMWA.2009.53
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The quantitative analyses of the traffic flow research performance was made based on 3870 papers published in Science Citation Index(expanded) -indexed periodicals from 1976 to 2005. Bradford's law was used to find the core journals of traffic flow. The total impact factor was proposed to evaluate the contribution of authors. Annual production, document type, language distribution of publications, page count, number of references, geographical distribution of research output, and key words in traffic flow filed were performed. The results indicated that English was the dominant language; eight-page papers (347, 8.97%) dominated most of the documents; the average documents published per journal was 3.79; collaboration of one to four authors was the most popular level of co-authorship; the most prolific author was Nagatani,T with 112.435 total impact factor; the authors came from 84 countries; USA is the top producing country with 1359 publications of the total output; there were eight keywords with frequency over 100 times; the highest frequency keyword was traffic flow with 378(12.52%).
引用
收藏
页码:28 / +
页数:2
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