IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v57y2003i1d10.1023_a1023667318934.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1023667318934
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/A:1023667318934?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Jacob Wood & Gohar Feroz Khan, 2015. "International trade negotiation analysis: network and semantic knowledge infrastructure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 537-556, October.
    3. 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.
    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.
    5. 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.
    6. Li, Kai & Yan, Erjia, 2018. "Co-mention network of R packages: Scientific impact and clustering structure," Journal of Informetrics, Elsevier, vol. 12(1), pages 87-100.
    7. 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.
    8. 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.
    9. 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.
    10. Liang Wang & Xiaolong Xue & Yuanxin Zhang & Xiaowei Luo, 2018. "Exploring the Emerging Evolution Trends of Urban Resilience Research by Scientometric Analysis," IJERPH, MDPI, vol. 15(10), pages 1-29, October.
    11. Geert Campenhout & Tom Caneghem & Steve Uytbergen, 2008. "A comparison of overall and sub-area journal influence: The case of the accounting literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(1), pages 61-90, October.
    12. Homero Rodríguez-Insuasti & Néstor Montalván-Burbano & Otto Suárez-Rodríguez & Marcela Yonfá-Medranda & Katherine Parrales-Guerrero, 2022. "Creative Economy: A Worldwide Research in Business, Management and Accounting," Sustainability, MDPI, vol. 14(23), pages 1-27, November.
    13. Kevin W. Boyack & Katy Börner & Richard Klavans, 2009. "Mapping the structure and evolution of chemistry research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 45-60, April.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Swapan Kumar Patra & Saroj Mishra, 2006. "Bibliometric study of bioinformatics literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 477-489, June.
    2. Yoshiyuki Takeda & Yuya Kajikawa, 2009. "Optics: a bibliometric approach to detect emerging research domains and intellectual bases," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(3), pages 543-558, March.
    3. Wang, Lu & Wei, Yi-Ming & Brown, Marilyn A., 2017. "Global transition to low-carbon electricity: A bibliometric analysis," Applied Energy, Elsevier, vol. 205(C), pages 57-68.
    4. Ming-Yueh Tsay & Shiao-Shing Ma, 2003. "The nature and relationship between the productivity of journals and their citations in semiconductor literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(2), pages 201-222, February.
    5. 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.
    6. Jing-Li Fan & Shuo Shen & Jian-Da Wang & Shi-Jie Wei & Xian Zhang & Ping Zhong & Hang Wang, 2020. "Scientific and technological power and international cooperation in the field of natural hazards: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 807-827, July.
    7. Ming-yueh Tsay & Hong Xu & Chia-wen Wu, 2003. "Author co-citation analysis of semiconductor literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 529-545, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:57:y:2003:i:1:d:10.1023_a:1023667318934. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.