Guy Shalev
Impact in
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
Papers in
-
- Hydrology and Watershed Management Studies 8
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- Flood Risk Assessment and Management 7
- Co-authors
- Grey Nearing (8 shared papers)Frederik Kratzert (8 shared papers)Daniel Klotz (7 shared papers)Martin Gauch (5 shared papers)Oren Gilon (4 shared papers)Sella Nevo (5 shared papers)Jonathan Frame (3 shared papers)Yossi Matias (2 shared papers)
- Journals
- Hydrology and earth system sciences (3 papers)Brain Structure and Function (1 paper)American Anthropologist (1 paper)Annals of the Rheumatic Diseases (1 paper)Nature (1 paper)
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Guy Shalev
12 papers receiving 660 citations
Guy Shalev's Hit Papers
Peers
Comparison fields: 5 of 78
- Water Science and Technology 397
- Environmental Engineering 374
- Global and Planetary Change 378
- Atmospheric Science 148
- Ocean Engineering 27
Countries citing papers authored by Guy Shalev
This map shows the geographic impact of Guy Shalev'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 Guy Shalev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Shalev more than expected).
Fields of papers citing papers by Guy Shalev
This network shows the impact of papers produced by Guy Shalev. 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 Guy Shalev. The network helps show where Guy Shalev may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Shalev, 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 | Deep learning rainfall–runoff predictions of extreme events Hit paper breakdown → | 2022 | 174 |
| 2 | Global prediction of extreme floods in ungauged watersheds Hit paper breakdown → | 2024 | 170 |
| 3 | Caravan - A global community dataset for large-sample hydrology Hit paper breakdown → | 2023 | 138 |
| 4 | Hybrid forecasting: blending climate predictions with AI models Hit paper breakdown → | 2023 | 114 |
| 5 | 2022 | 28 | |
| 6 | 2019 | 19 | |
| 7 | 2015 | 16 | |
| 8 | 1986 | 10 | |
| 9 | 2021 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2020 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Guy Shalev
Guy Shalev is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Atmospheric Science and Sociology and Political Science, having authored 14 papers that have together received 686 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (7 papers), Hydrological Forecasting Using AI (6 papers), Jewish and Middle Eastern Studies (2 papers), Precipitation Measurement and Analysis (2 papers), Meteorological Phenomena and Simulations (2 papers), Torture, Ethics, and Law (1 paper) and Soil Moisture and Remote Sensing (1 paper). The work is most often cited by research in Water Science and Technology (397 citations), Environmental Engineering (374 citations), Global and Planetary Change (378 citations), Atmospheric Science (148 citations) and Ocean Engineering (27 citations). Guy Shalev has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Grey Nearing, Frederik Kratzert, Daniel Klotz, Martin Gauch, Oren Gilon, Sella Nevo, Jonathan Frame, Yossi Matias, Avinatan Hassidim and Hoshin V. Gupta. Their work appears in journals such as Hydrology and earth system sciences, Brain Structure and Function, American Anthropologist, Annals of the Rheumatic Diseases and Nature.
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.