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An author co-citation analysis of information science in China with Chinese Google Scholar search engine, 2004–2006

Author

Listed:
  • Ruimin Ma

    (Wuhan University)

  • Qiangbin Dai

    (Wuhan University)

  • Chaoqun Ni

    (Wuhan University)

  • Xuelu Li

    (Wuhan University)

Abstract

Author co-citation analysis (ACA) is an important method for discovering the intellectual structure of a given scientific field. Since traditional ACA was confined to ISI Web of Knowledge (WoK), the co-citation counts of pairs of authors mainly depended on the data indexed in WoK. Fortunately, Google Scholar has integrated different academic databases from different publishers, providing an opportunity of conducting ACA in wider a range. In this paper, we conduct ACA of information science in China with the Chinese Google Scholar. Firstly, a brief introduction of Chinese Google Scholar is made, including retrieval principles and data formats. Secondly, the methods used in our paper are given. Thirdly, 31 most important authors of information science in China are selected as research objects. In the part of empirical study, factor analysis is used to find the main research directions of information science in China. Pajek, a powerful tool in social network analysis, is employed to visualize the author co-citation matrix as well. Finally, the resemblances and the differences between China and other countries in information science are pointed out.

Suggested Citation

  • Ruimin Ma & Qiangbin Dai & Chaoqun Ni & Xuelu Li, 2009. "An author co-citation analysis of information science in China with Chinese Google Scholar search engine, 2004–2006," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 33-46, October.
    • Handle: RePEc:spr:scient:v:81:y:2009:i:1:d:10.1007_s11192-009-2063-x
    DOI: 10.1007/s11192-009-2063-x
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    References listed on IDEAS

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    1. Per Ahlgren & Bo Jarneving & Ronald Rousseau, 2003. "Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 550-560, April.
    2. Loet Leydesdorff & Liwen Vaughan, 2006. "Co‐occurrence matrices and their applications in information science: Extending ACA to the Web environment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(12), pages 1616-1628, October.
    3. Katherine W. McCain, 1990. "Mapping authors in intellectual space: A technical overview," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 433-443, September.
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    Cited by:

    1. Du, Yuxin & Teixeira, Aurora A.C., 2012. "A bibliometric account of Chinese economics research through the lens of the China Economic Review," China Economic Review, Elsevier, vol. 23(4), pages 743-762.
    2. Rongying Zhao & Bikun Chen, 2014. "Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 985-997, November.
    3. Ruimin Ma, 2012. "Discovering and analyzing the intellectual structure and its evolution of LIS in China, 1998–2007," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 645-659, December.
    4. Liang-Chu Chen & Yen-Hsuan Lien, 2011. "Using author co-citation analysis to examine the intellectual structure of e-learning: A MIS perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 867-886, December.
    5. Jeong, Yoo Kyung & Song, Min & Ding, Ying, 2014. "Content-based author co-citation analysis," Journal of Informetrics, Elsevier, vol. 8(1), pages 197-211.
    6. Mu-Hsuan Huang & Yu-Wei Chang, 2012. "A comparative study of interdisciplinary changes between information science and library science," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 789-803, June.
    7. Yu-Wei Chang & Mu-Hsuan Huang & Chiao-Wen Lin, 2015. "Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2071-2087, December.
    8. John Mingers & Evangelia A. E. C. G. Lipitakis, 2010. "Counting the citations: a comparison of Web of Science and Google Scholar in the field of business and management," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 613-625, November.
    9. Chang-Ping Hu & Ji-Ming Hu & Yan Gao & Yao-Kun Zhang, 2011. "A journal co-citation analysis of library and information science in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 657-670, March.
    10. Wang, Feifei & Jia, Chenran & Wang, Xiaohan & Liu, Junwan & Xu, Shuo & Liu, Yang & Yang, Chenyuyan, 2019. "Exploring all-author tripartite citation networks: A case study of gene editing," Journal of Informetrics, Elsevier, vol. 13(3), pages 856-873.

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