S. Adarsh
Impact in
- Global and Planetary Change top 2%
- Climate variability and models
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI
Papers in
-
- Climate variability and models 54
- Hydrology and Drought Analysis 54
- Flood Risk Assessment and Management 15
-
- Hydrological Forecasting Using AI 47
- Co-authors
- M. Janga Reddy (21 shared papers)Maya L. Pai (6 shared papers)Vahid Nourani (10 shared papers)Mohammad Zounemat‐Kermani (3 shared papers)Meysam Alizamir (2 shared papers)K. L. Priya (8 shared papers)Zaher Mundher Yaseen (2 shared papers)Quoc Bao Pham (5 shared papers)
In The Last Decade
S. Adarsh
141 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Global and Planetary Change 843
- Environmental Engineering 517
- Water Science and Technology 375
- Atmospheric Science 234
- Soil Science 73
Countries citing papers authored by S. Adarsh
This map shows the geographic impact of S. Adarsh'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 S. Adarsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Adarsh more than expected).
Fields of papers citing papers by S. Adarsh
This network shows the impact of papers produced by S. Adarsh. 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 S. Adarsh. The network helps show where S. Adarsh may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Adarsh, 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 122 | |
| 2 | 2020 | 58 | |
| 3 | 2022 | 52 | |
| 4 | 2020 | 48 | |
| 5 | 2019 | 46 | |
| 6 | 2020 | 44 | |
| 7 | 2021 | 37 | |
| 8 | 2017 | 36 | |
| 9 | 2020 | 36 | |
| 10 | 2017 | 33 | |
| 11 | 2016 | 32 | |
| 12 | 2018 | 31 | |
| 13 | 2021 | 29 | |
| 14 | 2020 | 28 | |
| 15 | 2019 | 28 | |
| 16 | 2015 | 26 | |
| 17 | 2020 | 26 | |
| 18 | 2021 | 25 | |
| 19 | 2021 | 25 | |
| 20 | 2010 | 24 |
About S. Adarsh
S. Adarsh is a scholar working on Global and Planetary Change, Environmental Engineering, Water Science and Technology, Civil and Structural Engineering and Atmospheric Science, having authored 158 papers that have together received 1.6k indexed citations. Recurring topics across this work include Climate variability and models (54 papers), Hydrology and Drought Analysis (54 papers), Hydrological Forecasting Using AI (47 papers), Complex Systems and Time Series Analysis (22 papers), Hydrology and Watershed Management Studies (19 papers), Flood Risk Assessment and Management (15 papers), Water resources management and optimization (13 papers) and Water Systems and Optimization (13 papers). The work is most often cited by research in Global and Planetary Change (843 citations), Environmental Engineering (517 citations), Water Science and Technology (375 citations), Atmospheric Science (234 citations) and Soil Science (73 citations). S. Adarsh has collaborated with scholars based in India, Iran and China. Frequent co-authors include M. Janga Reddy, Maya L. Pai, Vahid Nourani, Mohammad Zounemat‐Kermani, Meysam Alizamir, K. L. Priya, Zaher Mundher Yaseen, Quoc Bao Pham, Amin Mahdavi‐Meymand and Thomas Plocoste. Their work appears in journals such as Modeling Earth Systems and Environment, Stochastic Environmental Research and Risk Assessment, Natural Hazards, Journal of Hydrology and Atmosphere.
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.