N. R. Deshpande
- Global and Planetary Change top 5%
- Climate variability and models 16
- Hydrology and Drought Analysis 12
- Flood Risk Assessment and Management 5
- Atmospheric Science top 5%
- Precipitation Measurement and Analysis 8
- Meteorological Phenomena and Simulations 5
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- Climate change impacts on agriculture 2
- Soil Science top 10%
- Agricultural risk and resilience 2
- Water Science and Technology top 10%
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- Hydrological Forecasting Using AI 2
N. R. Deshpande
24 papers receiving 733 citations
Peers
Comparison fields: 5 of 66
- Global and Planetary Change 565
- Atmospheric Science 397
- Ecology, Evolution, Behavior and Systematics 172
- Soil Science 71
- Water Science and Technology 80
Countries citing papers authored by N. R. Deshpande
This map shows the geographic impact of N. R. Deshpande'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 N. R. Deshpande with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. R. Deshpande more than expected).
Fields of papers citing papers by N. R. Deshpande
This network shows the impact of papers produced by N. R. Deshpande. 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 N. R. Deshpande. The network helps show where N. R. Deshpande may publish in the future.
Co-authorship network
The 25 scholars most cited alongside N. R. Deshpande, 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 | 2024 | 1 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 6 | |
| 4 | 2018 | 12 | |
| 5 | 2018 | 18 | |
| 6 | 2016 | 68 | |
| 7 | 2016 | 24 | |
| 8 | 2015 | 128 | |
| 9 | 2015 | 4 | |
| 10 | 2013 | 40 | |
| 11 | 2011 | 2 | |
| 12 | 2011 | 56 | |
| 13 | Extreme rainfall analysis and estimation of Probable Maximum Precipitation (PMP) by statistical methods over the Indus river basin in India | 2008 | 12 |
| 14 | Future climate scenarios for the South Asian region as simulated by the regional climate model HadRM2 | 2005 | 2 |
| 15 | 2004 | 328 | |
| 16 | Future Climate Scenarios. In: Climate Change and India: Vulnerability Assessment and Adaptation. | 2003 | 4 |
| 17 | 1995 | 5 | |
| 18 | 1995 | 9 | |
| 19 | 1992 | 28 | |
| 20 | 1990 | 6 |
About N. R. Deshpande
N. R. Deshpande is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering, having authored 24 papers that have together received 772 indexed citations. Recurring topics across this work include Climate variability and models (16 papers), Hydrology and Drought Analysis (12 papers), Precipitation Measurement and Analysis (8 papers), Flood Risk Assessment and Management (5 papers), Meteorological Phenomena and Simulations (5 papers), Hydrological Forecasting Using AI (2 papers), Agricultural risk and resilience (2 papers) and Climate change impacts on agriculture (2 papers). The work is most often cited by research in Global and Planetary Change (565 citations), Atmospheric Science (397 citations) and Ecology, Evolution, Behavior and Systematics (172 citations). N. R. Deshpande has collaborated with scholars based in India, United States and Australia. Frequent co-authors include James Hansen, K. Rupa Kumar, Raghavendra Ashrit, Kireet Kumar, Ashwini Kulkarni, D. R. Kothawale, B. N. Goswami, K K Saji Kumar, P. R. Rakhecha and Michael L. Kaplan. Their work appears in journals such as International Journal of Climatology, Climate Dynamics and Atmospheric Research.
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.