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

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.
Read more at http://www.worldscientific.com/doi/abs/10.1142/S0219877017400119

Author(s): Nathasit Gerdsri, Alisa Kongthon, Sudatip Puengrusme
Organization(s): Mahidol University, National Electronics and Computer Technology Center (NECTEC)
Source: International Journal of Innovation and Technology Management
Year: 2017

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