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Journal co-citation analysis of semiconductor literature

Author

Listed:
  • Ming-yueh Tsay

    (Tamkang University Tamsui)

  • Hong Xu

    (Pittsburgh Universit)

  • Chia-wen Wu

    (Taipei Municipal Library)

Abstract

The purpose of this study is to map semiconductor literature using journal co-citation analysis. The journal sample was gathered from the INSPEC database from 1978 to 1997. In the co-citation analysis, the data compiled were counts of the number of times two journal titles were jointly cited in later publications. It is assumed that the more two journals are cited together, the closer the relationship between them. The journal set used was the 30 most productive journals in the field of semiconductors. Counts of co-citations to the set of semiconductor journals were retrieved from SciSearch database, accessed through Dialog. Cluster analysis and multi-dimensional scaling were employed to create two-dimensional maps of journal relationships in the cross-citation networks. The following results were obtained through this co-citation study: The 30 journals fall fairly clearly into three clusters. The major cluster of journals, containing 17 titles, is in the subject of physics. The second cluster, consisting of 9 journals, includes journals primarily on material science. The remaining cluster represents research areas in the discipline of electrical and electronic engineering. All co-cited journals share similar co-citation profiles, reflected in high positive Pearson correlation. Two hundred and ninety-six pairs (68%) correlate at greater than 0.70. This shows that there is strong relationship between semiconductor journals. Five individual journals in five paired sets with co-citation frequency over 100,000 times include Physical Review B, Condensed Matter; Physical Review Letters; Applied Physics Letters; Journal of Applied Physics; and Solid State Communications.

Suggested Citation

  • Ming-yueh Tsay & Hong Xu & Chia-wen Wu, 2003. "Journal co-citation analysis of semiconductor literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(1), pages 7-25, May.
    • Handle: RePEc:spr:scient:v:57:y:2003:i:1:d:10.1023_a:1023667318934
    DOI: 10.1023/A:1023667318934
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    References listed on IDEAS

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    1. Ming-Yueh Tsay & Shiow-Jen Jou & Sheau-Shin Ma, 2000. "A Bibliometric Study of Semiconductor Literature, 1978–1997," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(3), pages 491-509, November.
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    Cited by:

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    3. Jiancheng Guan & Nan Ma, 2007. "A bibliometric study of China’s semiconductor literature compared with other major asian countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 107-124, January.
    4. Hakyeon Lee, 2015. "Uncovering the multidisciplinary nature of technology management: journal citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 51-75, January.
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    8. Kraker, Peter & Schlögl, Christian & Jack, Kris & Lindstaedt, Stefanie, 2015. "Visualization of co-readership patterns from an online reference management system," Journal of Informetrics, Elsevier, vol. 9(1), pages 169-182.
    9. Worapan Kusakunniran & Amit Singh Dahal & Wantanee Viriyasitavat, 2018. "Journal Co-Citation Analysis for Identifying Trends of Inter-Disciplinary Research: An Exploratory Case Study in a University," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-22, December.
    10. Lin Zhang & Frizo Janssens & Liming Liang & Wolfgang Glänzel, 2010. "Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 687-706, March.
    11. Sandra Miguel & Félix Moya-Anegón & Víctor Herrero-Solana, 2008. "A new approach to institutional domain analysis: Multilevel research fronts structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(3), pages 331-344, March.
    12. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Combining co-citation clustering and text-based analysis to reveal the main development paths of smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 56-69.
    13. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    14. Seyedghorban, Zahra & Matanda, Margaret Jekanyika & LaPlaca, Peter, 2016. "Advancing theory and knowledge in the business-to-business branding literature," Journal of Business Research, Elsevier, vol. 69(8), pages 2664-2677.
    15. Fritze, Martin P. & Urmetzer, Florian & Khan, Gohar F. & Sarstedt, Marko & Neely, Andy & Schäfers, Tobias, 2018. "From Goods to Services Consumption: A Social Network Analysis on Sharing Economy and Servitization Research," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 2(3), pages 3-16.
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    17. 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.
    18. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.

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