Win Win Zin

701 total citations
27 papers, 536 citations indexed

About

Win Win Zin is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Win Win Zin has authored 27 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 18 papers in Water Science and Technology and 9 papers in Environmental Engineering. Recurrent topics in Win Win Zin's work include Flood Risk Assessment and Management (21 papers), Hydrology and Watershed Management Studies (18 papers) and Hydrology and Drought Analysis (7 papers). Win Win Zin is often cited by papers focused on Flood Risk Assessment and Management (21 papers), Hydrology and Watershed Management Studies (18 papers) and Hydrology and Drought Analysis (7 papers). Win Win Zin collaborates with scholars based in Myanmar, Japan and Germany. Win Win Zin's co-authors include Akiyuki Kawasaki, Badri Bhakta Shrestha, Akira Kodaka, Wataru Takeuchi, Martine Rutten, Georg Hörmann, Nicola Fohrer, J. Ihringer, Daisuke Komori and Franz Nestmann and has published in prestigious journals such as Environmental Monitoring and Assessment, International Journal of Disaster Risk Reduction and Water Policy.

In The Last Decade

Win Win Zin

26 papers receiving 514 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Win Win Zin Myanmar	11	380	191	152	66	61	27	536
Wojciech Szewczyk Poland	7	447 1.2×	234 1.2×	148 1.0×	70 1.1×	67 1.1×	18	664
Matthias Kemter Germany	7	501 1.3×	261 1.4×	143 0.9×	62 0.9×	71 1.2×	7	598
Elena Macdonald Germany	6	403 1.1×	224 1.2×	120 0.8×	63 1.0×	65 1.1×	9	493
Vincent Odongo Netherlands	13	353 0.9×	194 1.0×	130 0.9×	36 0.5×	70 1.1×	21	554
Fotios Maris Greece	9	508 1.3×	177 0.9×	105 0.7×	96 1.5×	60 1.0×	24	591
Nigel K. Downes Vietnam	12	246 0.6×	120 0.6×	62 0.4×	69 1.0×	50 0.8×	44	436
Tarique Hassan Bangladesh	6	173 0.5×	194 1.0×	170 1.1×	56 0.8×	80 1.3×	14	456
Simon Moulds United Kingdom	13	271 0.7×	160 0.8×	120 0.8×	36 0.5×	122 2.0×	31	505
Frances V. Davenport United States	8	344 0.9×	134 0.7×	202 1.3×	30 0.5×	63 1.0×	13	488

Countries citing papers authored by Win Win Zin

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Win Win Zin

This figure shows the co-authorship network connecting the top 25 collaborators of Win Win Zin. A scholar is included among the top collaborators of Win Win Zin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Win Win Zin. Win Win Zin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wagner, Paul D., et al.. (2022). Spatial and temporal assessment of human-water interactions at the Inle Lake, Myanmar: a socio-hydrological DPSIR analysis. Environmental Monitoring and Assessment. 195(1). 220–220. 6 indexed citations

Conallin, John, Nora Van Cauwenbergh, Win Win Zin, et al.. (2022). Supporting evidence-based decision-making: Capacity Building through Research. Water Policy. 24(5). 827–838. 4 indexed citations

Shrestha, Badri Bhakta, Akiyuki Kawasaki, & Win Win Zin. (2021). Development of flood damage functions for agricultural crops and their applicability in regions of Asia. Journal of Hydrology Regional Studies. 36. 100872–100872. 29 indexed citations

Shrestha, Badri Bhakta, Akiyuki Kawasaki, & Win Win Zin. (2021). Development of flood damage assessment method for residential areas considering various house types for Bago Region of Myanmar. International Journal of Disaster Risk Reduction. 66. 102602–102602. 31 indexed citations

Zin, Win Win, et al.. (2020). Development of Flood Damage Estimation Model for Agriculture – Case Study in the Bago Floodplain, Myanmar. Journal of Disaster Research. 15(3). 242–255. 6 indexed citations

Zin, Win Win, et al.. (2020). Developing Flood Inundation Map Using RRI and SOBEK Models: A Case Study of the Bago River Basin, Myanmar. Journal of Disaster Research. 15(3). 277–287. 21 indexed citations

Zin, Win Win, et al.. (2020). Projecting the Impact of Climate Change on Temperature, Precipitation, and Discharge in the Bago River Basin. Journal of Disaster Research. 15(3). 324–334. 7 indexed citations

Kawasaki, Akiyuki, et al.. (2020). Improving River Bathymetry and Topography Representation of a Low-Lying Flat River Basin by Integrating Multiple Sourced Datasets. Journal of Disaster Research. 15(3). 335–343. 6 indexed citations

Zin, Win Win, et al.. (2020). Multivariate Flood Loss Estimation of the 2018 Bago Flood in Myanmar. Journal of Disaster Research. 15(3). 300–311. 13 indexed citations

10.

Kawasaki, Akiyuki, et al.. (2020). Impact of Bias-Correction Methods in Assessing the Potential Flood Frequency Change in the Bago River. Journal of Disaster Research. 15(3). 288–299. 5 indexed citations

11.

Zin, Win Win, et al.. (2020). Estimation of Run-of-River Hydropower Potential in the Myitnge River Basin. Journal of Disaster Research. 15(3). 267–276. 8 indexed citations

12.

Zin, Win Win, et al.. (2020). Application and Flood Discharge Analysis with Hydrological Model (WEB-DHM) in Bago River Basin. Journal of Disaster Research. 15(3). 344–352. 2 indexed citations

13.

Zin, Win Win, et al.. (2019). Assessment of Future Climate Change Projections Using Multiple Global Climate Models. Civil Engineering Journal. 5(10). 2152–2166. 48 indexed citations

14.

Kawasaki, Akiyuki, et al.. (2018). Preliminary Assessment of GPM Satellite Rainfall over Myanmar. Journal of Disaster Research. 13(1). 22–30. 6 indexed citations

15.

Zin, Win Win, et al.. (2018). Flood Hazard Assessment of Bago River Basin, Myanmar. Journal of Disaster Research. 13(1). 14–21. 26 indexed citations

16.

Kodaka, Akira, et al.. (2018). Data Communication for Efficient Water Resource Management Among Multiple Stakeholders – A Case Study in the Bago River Basin, Myanmar –. Journal of Disaster Research. 13(1). 70–79. 1 indexed citations

17.

Kawasaki, Akiyuki, et al.. (2018). Development of a Hydrological Telemetry System in Bago River. Journal of Disaster Research. 13(1). 116–124. 6 indexed citations

18.

Kawasaki, Akiyuki, et al.. (2017). Disaster response and river infrastructure management during the 2015 Myanmar floods: A case in the Bago River Basin. International Journal of Disaster Risk Reduction. 24. 151–159. 33 indexed citations

19.

Zin, Win Win, et al.. (2015). River flood inundation mapping in the Bago River Basin, Myanmar. Hydrological Research Letters. 9(4). 97–102. 32 indexed citations

20.

Zin, Win Win, Franz Nestmann, & J. Ihringer. (2009). FLOOD FORECASTING USING FGM MODEL IN CHINDWIN RIVER BASIN. 21(2). 3 indexed citations

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.

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