Nathasit GerdsriAlisa KongthonSudatip PuengrusmeMahidol UniversityThailand National Electronics and Computer Technology Center2018-12-212019-03-142018-12-212019-03-142017-04-01International Journal of Innovation and Technology Management. Vol.14, No.2 (2017)021987702-s2.0-85010015664https://repository.li.mahidol.ac.th/handle/20.500.14594/42107© 2017 World Scientific Publishing Company. 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.Mahidol UniversityBusiness, Management and AccountingArticleSCOPUS10.1142/S0219877017400119