Innovative Research Award
Kyaw Than Oo,
National Disaster Management Committee.
Kyaw Than Oo is a researcher affiliated with the National Disaster Management Committee in Myanmar, with scholarly activity associated with monsoon-related research. His indexed research record comprises 26 documents, 306 citations, and an h-index of 8, providing measurable evidence of academic engagement and research visibility in the scientific literature. [1]
Abstract
Kyaw Than Oo is associated with monsoon-focused research and disaster management activities in Myanmar. His scholarly record includes 26 indexed documents, 306 citations, and an h-index of 8. These indicators demonstrate sustained publication activity and measurable scholarly visibility, supporting consideration for recognition in innovative hydrological research. [1]
Keywords
- Monsoon
- Hydrology
- Climate Variability
- Disaster Management
- Water Resources
- Myanmar
Introduction
Monsoon systems strongly influence rainfall, river flows, water availability, and hydrological hazards across South and Southeast Asia. Research addressing monsoon variability is therefore relevant to water-resource planning and disaster preparedness. Kyaw Than Oo’s documented scholarly activity places his work within this important intersection of monsoon science, hydrology, and risk management. [1]
Research Profile
Kyaw Than Oo’s research profile is characterized by a focus on monsoon-related scientific inquiry and its relevance to environmental and disaster-management contexts. His Scopus record reports 26 documents, 306 citations, and an h-index of 8. These bibliometric measures indicate an established publication record and a measurable level of scholarly influence. [1]
Research Contributions
Research concerning monsoon processes can contribute to improved understanding of rainfall variability, hydrological conditions, and weather-related risks. Within this broader field, Kyaw Than Oo’s scholarly record provides evidence of continued engagement with monsoon research. Such work can support scientific interpretation of seasonal water dynamics and inform evidence-based approaches to disaster preparedness and water management. [1]
Publications
Kyaw Than Oo has 26 documents indexed in Scopus, reflecting sustained participation in scholarly publication. The indexed output provides a documented basis for evaluating his research activity and subject-area engagement. Publication-level assessment should consider individual articles, journals, citation patterns, collaboration, and methodological contributions when determining the broader significance of his monsoon-related research. [2]
Research Impact
The reported 306 citations and h-index of 8 provide quantitative indicators of the visibility and influence of Kyaw Than Oo’s indexed research. Citation metrics do not independently establish research quality, but they offer useful evidence when considered alongside publication relevance, originality, methodological strength, and practical significance within monsoon and hydrological research. [1]
Award Suitability
Kyaw Than Oo’s documented publication activity, citation record, and specialization in monsoon-related research provide a relevant academic basis for consideration for the Innovative Research Award. His research area aligns with hydrological processes and environmental risk considerations that are significant to water and disaster management, while final recognition should be based on comprehensive academic evaluation. [2]
Conclusion
Kyaw Than Oo demonstrates a documented scholarly profile in monsoon-related research, supported by 26 Scopus-indexed documents, 306 citations, and an h-index of 8. His research focus has relevance to hydrology and disaster-management challenges. These indicators provide a substantive foundation for academic recognition while encouraging continued research addressing monsoon variability and water-related risks. [2]
External Links
References
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Ebaju, G. K., Kamukama, G., Oo, K. T., & Ayugi, B. O. (2026). Comparative assessment of random forest and linear regression for predicting South Asian aridity driven by tropical ocean signals. Climate.
https://www.mdpi.com/2225-1154/14/9/200
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Ayugi, B. O., Oo, K. T., Dufatanye Umwali, E., & Alupot, D. (2026). Physical predictand drivers and characteristics of aridity across East Africa. International Journal of Climatology.
https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.70212
- Global Hydrologists Awards. (n.d.). Global Hydrologists Awards official website.
https://hydrologists.net/