图书情报工作

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2014 , Vol. 58 >Issue 07: 88 - 94,118

DOI: https://doi.org/10.13266/j.issn.0252-3116.2014.07.015

情报研究

利用Google Scholar自动统计引文年度被引频次的方法

  • 和晋飞 ,
  • 吕锋昌 ,
  • 房俊民
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  • 1. 中国科学院大学;
    2. 中国科学院成都文献情报中心;
    3. 中国科学院计算机网络信息中心
和晋飞，中国科学院大学、中国科学院成都文献情报中心硕士研究生，E-mail:hejf@mail.las.ac.cn；吕锋昌，中国科学院大学、中国科学院计算机网络信息中心硕士研究生；房俊民，中国科学院成都文献情报中心副研究员，硕士生导师

收稿日期: 2014-03-05

  修回日期: 2014-03-21

  网络出版日期: 2014-04-05

基金资助

本文系中国科学院战略性先导专项子课题“新一代信息技术研究战略情报知识环境与服务”(项目编号：XDA06010102)研究成果之一。

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A Method of Automatically Counting Annual Citation Frequency of Theses Using Google Scholar

  • He Jinfei ,
  • Lv Fengchang ,
  • Fang Junmin
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  • 1. University of Chinese Academy of Sciences, Beijing 100190;
    2. Chengdou Library of Chinese Academy of Sciences, Chengdu 610041;
    3. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190

Received date: 2014-03-05

  Revised date: 2014-03-21

  Online published: 2014-04-05

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摘要

首先阐述在数字科研时代，在学术交流渠道多元化、网络化的环境下，谷歌学术搜索(Google Scholar)可作为计算机科学领域引文分析的数据源的原因。然后，对目前自动化地采集Google Scholar的引文数据的现状进行概述；进而以统计图灵奖获得者所发表论文的年度引文频次为例，着重阐述如何利用Google Scholar引擎的引文搜索功能设计相关程序，实现对论文各年度被引频次的自动统计；最后，将该方法与Web of Science进行比较，并对实现过程中遇到的问题进行总结。

关键词： Google Scholar; 谷歌学术搜索; 引文频次统计; 自动统计

本文引用格式

和晋飞 , 吕锋昌 , 房俊民 . 利用Google Scholar自动统计引文年度被引频次的方法[J]. 图书情报工作, 2014 , 58(07) : 88 -94,118 . DOI: 10.13266/j.issn.0252-3116.2014.07.015

Abstract

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

参考文献

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