Sumit Das
Impact in
- Environmental Engineering top 0.5%
- Groundwater and Watershed Analysis
- Hydrological Forecasting Using AI
- Water Science and Technology top 1%
- Hydrology and Watershed Management Studies
Papers in
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- Flood Risk Assessment and Management 22
- Hydrology and Drought Analysis 7
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- Hydrology and Watershed Management Studies 21
- Water Quality and Pollution Assessment 2
- Co-authors
- Sudhakar D. Pardeshi (6 shared papers)Amitesh Gupta (3 shared papers)Rajendra B. Zolekar (2 shared papers)Sasanka Ghosh (1 shared paper)S. J. Sangode (6 shared papers)Hiep Van Le (1 shared paper)Ata Amini (1 shared paper)Saeid Janizadeh (1 shared paper)
In The Last Decade
Sumit Das
35 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 93
- Environmental Engineering 1.2k
- Water Science and Technology 1.0k
- Global and Planetary Change 1.4k
- Geochemistry and Petrology 154
- Modeling and Simulation 77
Countries citing papers authored by Sumit Das
This map shows the geographic impact of Sumit Das'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 Sumit Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Das more than expected).
Fields of papers citing papers by Sumit Das
This network shows the impact of papers produced by Sumit Das. 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 Sumit Das. The network helps show where Sumit Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit Das, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 186 | |
| 2 | 2019 | 166 | |
| 3 | 2019 | 161 | |
| 4 | 2018 | 159 | |
| 5 | 2018 | 156 | |
| 6 | 2021 | 152 | |
| 7 | 2020 | 135 | |
| 8 | 2017 | 103 | |
| 9 | 2021 | 98 | |
| 10 | 2020 | 96 | |
| 11 | 2018 | 69 | |
| 12 | 2018 | 66 | |
| 13 | 2017 | 63 | |
| 14 | 2021 | 39 | |
| 15 | 2020 | 39 | |
| 16 | 2021 | 36 | |
| 17 | 2021 | 35 | |
| 18 | 2021 | 33 | |
| 19 | 2020 | 26 | |
| 20 | 2021 | 23 |
About Sumit Das
Sumit Das is a scholar working on Global and Planetary Change, Water Science and Technology, Environmental Engineering, Ecology and Soil Science, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (22 papers), Hydrology and Watershed Management Studies (21 papers), Groundwater and Watershed Analysis (15 papers), Hydrology and Sediment Transport Processes (12 papers), Hydrology and Drought Analysis (7 papers), Soil erosion and sediment transport (5 papers), Water Quality and Pollution Assessment (2 papers) and Landslides and related hazards (2 papers). The work is most often cited by research in Environmental Engineering (1.2k citations), Water Science and Technology (1.0k citations), Global and Planetary Change (1.4k citations), Geochemistry and Petrology (154 citations) and Modeling and Simulation (77 citations). Sumit Das has collaborated with scholars based in India, Czechia and Thailand. Frequent co-authors include Sudhakar D. Pardeshi, Amitesh Gupta, Rajendra B. Zolekar, Sasanka Ghosh, S. J. Sangode, Hiep Van Le, Ata Amini, Saeid Janizadeh, Binh Thai Pham and Nadhir Al‐Ansari. Their work appears in journals such as The Science of The Total Environment, Water, Applied Water Science, Remote Sensing Applications Society and Environment and Environmental Earth Sciences.
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.