Oren Gilon
Impact in
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
- Soil Moisture and Remote Sensing
Papers in
-
- Hydrology and Watershed Management Studies 6
-
- Flood Risk Assessment and Management 6
- Co-authors
- Martin Gauch (7 shared papers)Grey Nearing (7 shared papers)Daniel Klotz (7 shared papers)Frederik Kratzert (7 shared papers)Guy Shalev (4 shared papers)Jonathan Frame (3 shared papers)Hoshin V. Gupta (3 shared papers)Sella Nevo (3 shared papers)
- Journals
- Hydrology and earth system sciences (3 papers)Scientific Data (1 paper)Water Resources Research (1 paper)Nature (1 paper)BMC Medical Informatics and Decision Making (1 paper)
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Oren Gilon
7 papers receiving 479 citations
Oren Gilon's Hit Papers
Peers
Comparison fields: 5 of 53
- Water Science and Technology 330
- Environmental Engineering 301
- Global and Planetary Change 301
- Atmospheric Science 106
- Health Information Management 9
Countries citing papers authored by Oren Gilon
This map shows the geographic impact of Oren Gilon'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 Oren Gilon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oren Gilon more than expected).
Fields of papers citing papers by Oren Gilon
This network shows the impact of papers produced by Oren Gilon. 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 Oren Gilon. The network helps show where Oren Gilon may publish in the future.
Co-authors
The 25 scholars most cited alongside Oren Gilon, 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 | 156 |
| 2 | Global prediction of extreme floods in ungauged watersheds Hit paper breakdown → | 2024 | 134 |
| 3 | Caravan - A global community dataset for large-sample hydrology Hit paper breakdown → | 2023 | 124 |
| 4 | 2022 | 26 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 17 | |
| 7 | 2023 | 14 | |
| 8 | 2025 | 0 |
About Oren Gilon
Oren Gilon is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Health Information Management and Artificial Intelligence, having authored 8 papers that have together received 496 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (6 papers), Flood Risk Assessment and Management (6 papers), Hydrological Forecasting Using AI (5 papers), Precipitation Measurement and Analysis (1 paper), Electronic Health Records Systems (1 paper), Machine Learning in Healthcare (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Water Science and Technology (330 citations), Environmental Engineering (301 citations), Global and Planetary Change (301 citations), Atmospheric Science (106 citations) and Health Information Management (9 citations). Oren Gilon has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Martin Gauch, Grey Nearing, Daniel Klotz, Frederik Kratzert, Guy Shalev, Jonathan Frame, Hoshin V. Gupta, Sella Nevo, Avinatan Hassidim and Yossi Matias. Their work appears in journals such as Hydrology and earth system sciences, Scientific Data, Water Resources Research, Nature and BMC Medical Informatics and Decision Making.
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.