Win Win Zin
Impact in
- Global and Planetary Change top 5%
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Climate variability and models
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
-
- Hydrology and Watershed Management Studies 18
- Water-Energy-Food Nexus Studies 2
-
- Flood Risk Assessment and Management 21
- Hydrology and Drought Analysis 7
- Co-authors
- Akiyuki Kawasaki (19 shared papers)Badri Bhakta Shrestha (2 shared papers)Akira Kodaka (2 shared papers)Wataru Takeuchi (2 shared papers)Martine M. Rutten (1 shared paper)Georg Hörmann (1 shared paper)Daisuke Komori (2 shared papers)Kristin M. Peters (2 shared papers)
In The Last Decade
Win Win Zin
28 papers receiving 546 citations
Peers
Comparison fields: 5 of 73
- Global and Planetary Change 400
- Water Science and Technology 195
- Atmospheric Science 157
- Environmental Engineering 64
- Soil Science 36
Countries citing papers authored by Win Win Zin
This map shows the geographic impact of Win Win Zin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Win Win Zin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Win Win Zin more than expected).
Fields of papers citing papers by Win Win Zin
This network shows the impact of papers produced by Win Win Zin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Win Win Zin. The network helps show where Win Win Zin may publish in the future.
Co-authors
The 20 scholars most cited alongside Win Win Zin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 114 | |
| 2 | 2018 | 66 | |
| 3 | 2019 | 56 | |
| 4 | 2019 | 50 | |
| 5 | 2021 | 37 | |
| 6 | 2017 | 35 | |
| 7 | 2015 | 33 | |
| 8 | 2021 | 33 | |
| 9 | 2018 | 26 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 14 | |
| 12 | 2020 | 10 | |
| 13 | 2017 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2018 | 6 |
About Win Win Zin
Win Win Zin is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Atmospheric Science and Geochemistry and Petrology, having authored 30 papers that have together received 569 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (21 papers), Hydrology and Watershed Management Studies (18 papers), Hydrology and Drought Analysis (7 papers), Hydrological Forecasting Using AI (4 papers), Groundwater and Watershed Analysis (4 papers), Precipitation Measurement and Analysis (3 papers), Water-Energy-Food Nexus Studies (2 papers) and Hydropower, Displacement, Environmental Impact (2 papers). The work is most often cited by research in Global and Planetary Change (400 citations), Water Science and Technology (195 citations), Atmospheric Science (157 citations), Environmental Engineering (64 citations) and Soil Science (36 citations). Win Win Zin has collaborated with scholars based in Myanmar, Japan and Germany. Frequent co-authors include Akiyuki Kawasaki, Badri Bhakta Shrestha, Akira Kodaka, Wataru Takeuchi, Martine M. Rutten, Georg Hörmann, Daisuke Komori, Kristin M. Peters, Nicola Fohrer and Jürgen Ihringer. Their work appears in journals such as International Journal of Disaster Risk Reduction, Civil Engineering Journal, Journal of Disaster Research, Environmental Monitoring and Assessment and Journal of Hydrology Regional Studies.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.