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 ⓘ
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- Flood Risk Assessment and Management 21
- Hydrology and Drought Analysis 7
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- Hydrology and Watershed Management Studies 18
- Water-Energy-Food Nexus Studies 2
- Co-authors
- Akiyuki Kawasaki (19 shared papers)Badri Bhakta Shrestha (2 shared papers)Akira Kodaka (2 shared papers)Wataru Takeuchi (2 shared papers)Martine Rutten (1 shared paper)Georg Hörmann (1 shared paper)Nicola Fohrer (1 shared paper)Paul D. Wagner (1 shared paper)
In The Last Decade
Win Win Zin
26 papers receiving 514 citations
Peers
Comparison fields: 5 of 76
- Global and Planetary Change 380
- Water Science and Technology 191
- Atmospheric Science 152
- Environmental Engineering 61
- Soil Science 35
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 18 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 112 | |
| 2 | 2018 | 63 | |
| 3 | 2019 | 51 | |
| 4 | 2019 | 48 | |
| 5 | 2017 | 33 | |
| 6 | 2015 | 32 | |
| 7 | 2021 | 31 | |
| 8 | 2021 | 29 | |
| 9 | 2018 | 26 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 8 | |
| 13 | 2017 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2020 | 6 |
About Win Win Zin
Win Win Zin is a scholar working on Global and Planetary Change, Water Science and Technology, Environmental Engineering, Atmospheric Science and Nature and Landscape Conservation, having authored 27 papers that have together received 536 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), Meteorological Phenomena and Simulations (2 papers) and Water-Energy-Food Nexus Studies (2 papers). The work is most often cited by research in Global and Planetary Change (380 citations), Water Science and Technology (191 citations), Atmospheric Science (152 citations), Environmental Engineering (61 citations) and Soil Science (35 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 Rutten, Georg Hörmann, Nicola Fohrer, Paul D. Wagner, J. Ihringer and Daisuke Komori. 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.