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A Method of Automatically Counting Annual Citation Frequency of Theses Using Google Scholar
Received date: 2014-03-05
Revised date: 2014-03-21
Online published: 2014-04-05
At first,this paper elaborates why Google Scholar can be used as an data source for citation analysis of computer science in the digital scientific research age, with the characteristics of various academic exchange ways and network environment. Then, this paper summarizes the status quo about automatic Google Scholar citation data acquisition and thus points out the advantage of this paper. And then by taking an example of counting citation frequency of theses published by Turing award winners, the citation search function of Google Schoalr search engine is emphatically stated. In addition, the authors develop a program automatically completing a statistics of annual citation frequency of theses and analyze the data. Finally, this method is compared with that of the web of science, and this paper states some deficiencies of the program implemented and relative improvements proposed.
Key words： Google; Scholar; statistics of citation frequency; automatic statistics
He Jinfei , Lv Fengchang , Fang Junmin . A Method of Automatically Counting Annual Citation Frequency of Theses Using Google Scholar[J]. Library and Information Service, 2014 , 58(07) : 88 -94,118 . DOI: 10.13266/j.issn.0252-3116.2014.07.015
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