DocumentCode :
3291137
Title :
Data Mining for Bibliometric Analysis of Traffic Flow
Author :
Wu, Chaozhong ; Lei, Hu ; Yan, Xinping ; Zhou, Feng
Author_Institution :
Eng. Res. Center for Transp. Safety of MOE, Wuhan Univ. of Technol., Wuhan, China
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
28
Lastpage :
31
Abstract :
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. Bradfordpsilas 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%).
Keywords :
data mining; information analysis; statistical analysis; traffic engineering computing; bibliometric analysis; data mining; statistical method; traffic flow; Bibliometrics; Citation analysis; Communication system traffic control; Data engineering; Data mining; Databases; Performance analysis; Safety; Traffic control; Transportation; Data mining in transportation; bibliometric analysis; quantitative analyses; traffic flow; transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3646-0
Type :
conf
DOI :
10.1109/WMWA.2009.53
Filename :
5232460
Link To Document :
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