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Profiling the Research Landscape in Emerging Areas Using Bibliometrics and Text Mining: A Case Study of Biomedical Engineering (BME) in Thailand

Author

Listed:
  • Nathasit Gerdsri

    (College of Management, Mahidol University, Bangkok, Thailand)

  • Alisa Kongthon

    (#x2020;National Electronics and Computer Technology Center (NECTEC), Thailand)

  • Sudatip Puengrusme

    (College of Management, Mahidol University, Bangkok, Thailand)

Abstract

This study focuses on applying bibliometric analysis and text mining technique to generate technology intelligence from publication databases. The intelligence represents the research profile and landscape by highlighting active research areas and revealing professional communities along with their social networks. Professional communities can be not just existing networks, but also hidden ones. In this paper, the analysis of biomedical engineering (BME) field in Thailand is presented as the case study. The findings can be used as key inputs for the development of effective policies and incentives to promote the research activities as well as the collaboration among different groups of experts.

Suggested Citation

  • Nathasit Gerdsri & Alisa Kongthon & Sudatip Puengrusme, 2017. "Profiling the Research Landscape in Emerging Areas Using Bibliometrics and Text Mining: A Case Study of Biomedical Engineering (BME) in Thailand," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 1-15, April.
    • Handle: RePEc:wsi:ijitmx:v:14:y:2017:i:02:n:s0219877017400119
    DOI: 10.1142/S0219877017400119
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    References listed on IDEAS

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    1. Xianwen Wang & Shenmeng Xu & Di Liu & Yongxia Liang, 2012. "The role of Chinese–American scientists in China–US scientific collaboration: a study in nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 737-749, June.
    2. Alan L. Porter & Alisa Kongthon & Jye-Chyi (JC) Lu, 2002. "Research profiling: Improving the literature review," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 351-370, March.
    3. Xuefeng Wang & Rongrong Li & Shiming Ren & Donghua Zhu & Meng Huang & Pengjun Qiu, 2014. "Collaboration network and pattern analysis: case study of dye-sensitized solar cells," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1745-1762, March.
    4. Benoît Godin, 2006. "On the origins of bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 109-133, July.
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    Cited by:

    1. Nathasit Gerdsri & Nisit Manotungvorapun, 2021. "Readiness Assessment for IDE Startups: A Pathway toward Sustainable Growth," Sustainability, MDPI, vol. 13(24), pages 1-17, December.
    2. Milad Dehghani & Ki Joon Kim, 2019. "Past and Present Research on Wearable Technologies: Bibliometric and Cluster Analyses of Published Research from 2000 to 2016," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 1-21, February.
    3. Nathasit Gerdsri & Boonkiart Iewwongcharoen & Kittichai Rajchamaha & Nisit Manotungvorapun & Jakapong Pongthanaisawan & Watcharin Witthayaweerasak, 2021. "Capability Assessment toward Sustainable Development of Business Incubators: Framework and Experience Sharing," Sustainability, MDPI, vol. 13(9), pages 1-20, April.

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