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

Nathasit Gerdsri, Alisa Kongthon and Sudatip Puengrusme
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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

International Journal of Innovation and Technology Management (IJITM), 2017, vol. 14, issue 02, 1-15

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.

Keywords: Research profiling; technology intelligence; text mining; bibliometric; biomedical engineering; Thailand (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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DOI: 10.1142/S0219877017400119

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