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Progress in global parallel computing research: a bibliometric approach

Author

Listed:
  • Zhongqiu Liu

    (Wuhan University
    Wuhan University)

  • Yaolin Liu

    (Wuhan University
    Wuhan University)

  • Yangjie Guo

    (Wuhan University)

  • Hua Wang

    (Wuhan University
    Wuhan University)

Abstract

This study adopts a bibliometric approach to analyze the progress in global parallel computing research from the related literature in the Science Citation Index Expanded database from 1958 to 2011. By investigating the characteristics of annual publication outputs, we find that parallel computing has recently experienced increasing attention again after its first rapid development in the 1990s, and the research in this field is entering into a new phase. The distribution of publications indicates that the seven major industrial countries (G7), with USA ranking top, are identified as the most productive and influential countries in this domain. Author keywords were analyzed by comparison, and we conclude that the study focus of parallel computing has shifted from hardware to software, with parallel application and programming based on MPI, GPUs and multicores being the research tendencies; grid computing and cloud computing dominate the distributed computing area due to their heterogeneous and scalable structures; and, furthermore, the processors of parallel machines are heading for a diverse development. The citing-cited matrix brings into light the intense interactions among the disciplines of computer science, engineering, mathematics and physics. The mutual interactions between the four disciplines have increased gradually and reflect the subject characteristics in influence content.

Suggested Citation

  • Zhongqiu Liu & Yaolin Liu & Yangjie Guo & Hua Wang, 2013. "Progress in global parallel computing research: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 967-983, June.
    • Handle: RePEc:spr:scient:v:95:y:2013:i:3:d:10.1007_s11192-012-0927-y
    DOI: 10.1007/s11192-012-0927-y
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    References listed on IDEAS

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    1. Molina, A. H., 1990. "Transputers and transputer-based parallel computers : Sociotechnical constituencies and the build-up of British-European capabilities in information technologies," Research Policy, Elsevier, vol. 19(4), pages 309-333, August.
    2. ChiaCheng Chao & WenYuan Jen & YanPing Chi & Binshan Lin, 2007. "Determining technology trends and forecasts of CRM through a historical review and bibliometric analysis of data from 1991 to 2005," International Journal of Management and Enterprise Development, Inderscience Enterprises Ltd, vol. 4(4), pages 415-427.
    3. Shaodong Xie & Jing Zhang & Yuh-Shan Ho, 2008. "Assessment of world aerosol research trends by bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(1), pages 113-130, October.
    4. George A. Barnett & Catherine Huh & Youngju Kim & Han Woo Park, 2011. "Citations among communication journals and other disciplines: a network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 449-469, August.
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    Cited by:

    1. Mario Coccia & Saeed Roshani, 2024. "Evolution of topics and trends in emerging research fields: multiple analyses with entity linking, Mann–Kendall test and burst methods in cloud computing," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5347-5371, September.
    2. Yuh-Shan Ho, 2016. "Rebuttal to: Liu et al. “Progress in global parallel computing research: a bibliometric approach”, vol. 95, pp 967–983," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1693-1694, September.
    3. Munan Li, 2018. "Classifying and ranking topic terms based on a novel approach: role differentiation of author keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 77-100, July.

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