Deep Shah
Impact in
- Global and Planetary Change top 5%
- Hydrology and Drought Analysis
- Climate variability and models
- Flood Risk Assessment and Management
- Plant Water Relations and Carbon Dynamics
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
-
- Hydrology and Drought Analysis 6
- Flood Risk Assessment and Management 5
- Climate variability and models 3
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- Water resources management and optimization 4
- Automated Road and Building Extraction 1
- Co-authors
- Vimal Mishra (6 shared papers)Saran Aadhar (1 shared paper)Harsh L. Shah (1 shared paper)Huilin Gao (6 shared papers)Yao Li (3 shared papers)Gang Zhao (3 shared papers)Vijay P. Singh (1 shared paper)Sudipta Sarkar (2 shared papers)
- Journals
- Journal of Geophysical Research Atmospheres (3 papers)Scientific Data (2 papers)Water Resources Research (2 papers)Remote Sensing (1 paper)Environmental Research Letters (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Deep Shah
10 papers receiving 514 citations
Peers
Comparison fields: 5 of 38
- Global and Planetary Change 431
- Water Science and Technology 226
- Oceanography 73
- Ecology, Evolution, Behavior and Systematics 73
- Soil Science 24
Countries citing papers authored by Deep Shah
This map shows the geographic impact of Deep Shah'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 Deep Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deep Shah more than expected).
Fields of papers citing papers by Deep Shah
This network shows the impact of papers produced by Deep Shah. 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 Deep Shah. The network helps show where Deep Shah may publish in the future.
Co-authors
The 17 scholars most cited alongside Deep Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 154 | |
| 2 | 2020 | 138 | |
| 3 | 2020 | 59 | |
| 4 | 2021 | 55 | |
| 5 | 2019 | 31 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 24 | |
| 8 | 2024 | 23 | |
| 9 | 2024 | 10 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Deep Shah
Deep Shah is a scholar working on Global and Planetary Change, Ocean Engineering, Water Science and Technology, Oceanography and Aerospace Engineering, having authored 12 papers that have together received 523 indexed citations. Recurring topics across this work include Hydrology and Drought Analysis (6 papers), Hydrology and Watershed Management Studies (5 papers), Flood Risk Assessment and Management (5 papers), Water resources management and optimization (4 papers), Climate variability and models (3 papers), GNSS positioning and interference (2 papers), Geophysics and Gravity Measurements (2 papers) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Global and Planetary Change (431 citations), Water Science and Technology (226 citations), Oceanography (73 citations), Ecology, Evolution, Behavior and Systematics (73 citations) and Soil Science (24 citations). Deep Shah has collaborated with scholars based in United States, India and China. Frequent co-authors include Vimal Mishra, Saran Aadhar, Harsh L. Shah, Huilin Gao, Yao Li, Gang Zhao, Vijay P. Singh, Sudipta Sarkar, Shuai Zhang and Maosheng Zhao. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Scientific Data, Water Resources Research, Remote Sensing and Environmental Research Letters.
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.