Background: Research output provides an insight into the development of the scientific capability of a country. Budget allocation for research and development (R&D) is directly proportional to the research output of a country. While developed countries spend a significant percentage of their GDP on R&D, developing countries do not have enough resources to invest in R&D. Countries in the Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) Nations has received significantly less attention from outside the region in studying R&D and research publication scenario of the region. The research output of BIMSTEC countries was analyzed using various metrics in this paper. Methods: Data on citation per paper, Field Weight Citation Impact (FWCI), paper per researcher, collaborative publications, and output in top 10 percent journals was extracted from one of the largest abstract and citation database of peer-reviewed literature, Scopus and its affiliate SciVal, for a period of 6 years between 2012-2017. Percentage of R&D spend, researchers per million population, and total scientific output were extracted from World Bank data. Results: India and Thailand have a higher quantum of publications compared to other countries. Subjects like clinical, technology, Computer Science have a larger publication number as compared to other subject areas like Social Science, Arts, Education, Law, and Physiology. The researcher population and research spend of a nation have an evident implication on the publication though no direct relation can be derived. Conclusion: Huge disparities in terms of percentage of research spent, research output, papers per researcher, and output with national and international authorship differ for countries. Higher research spent and publication count are not positively correlated with better FWCI.
All Science Journal Classification (ASJC) codes
- Biochemistry, Genetics and Molecular Biology(all)
- Immunology and Microbiology(all)
- Pharmacology, Toxicology and Pharmaceutics(all)