Oren Gilon

1.3k total citations · 3 hit papers
8 papers, 496 citations indexed

About

Oren Gilon is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Oren Gilon has authored 8 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Water Science and Technology, 6 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Oren Gilon's work include Flood Risk Assessment and Management (6 papers), Hydrology and Watershed Management Studies (6 papers) and Hydrological Forecasting Using AI (5 papers). Oren Gilon is often cited by papers focused on Flood Risk Assessment and Management (6 papers), Hydrology and Watershed Management Studies (6 papers) and Hydrological Forecasting Using AI (5 papers). Oren Gilon collaborates with scholars based in United States, Austria and Switzerland. Oren Gilon's co-authors include Grey Nearing, Daniel Klotz, Martin Gauch, Frederik Kratzert, Guy Shalev, Jonathan Frame, Sella Nevo, Hoshin V. Gupta, Yossi Matias and Avinatan Hassidim and has published in prestigious journals such as Nature, Water Resources Research and Hydrology and earth system sciences.

In The Last Decade

Oren Gilon

7 papers receiving 479 citations

Hit Papers

Deep learning rainfall–runoff predictions of extreme events 2022 2026 2023 2024 2022 2024 2023 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Oren Gilon United States 7 330 301 301 106 40 8 496
D. L. Blodgett United States 11 497 1.5× 399 1.3× 252 0.8× 119 1.1× 18 0.5× 17 621
Guy Shalev United States 8 372 1.1× 345 1.1× 348 1.2× 133 1.3× 22 0.6× 11 577
Paúl Muñoz Ecuador 9 150 0.5× 248 0.8× 135 0.4× 129 1.2× 29 0.7× 18 348
Sella Nevo United States 5 207 0.6× 193 0.6× 162 0.5× 70 0.7× 26 0.7× 10 314
Ayman G. Awadallah Egypt 12 193 0.6× 209 0.7× 101 0.3× 87 0.8× 15 0.4× 32 344
Johanna Orellana‐Alvear Ecuador 11 163 0.5× 278 0.9× 166 0.6× 243 2.3× 16 0.4× 27 473
P. Sonali India 6 205 0.6× 542 1.8× 118 0.4× 225 2.1× 13 0.3× 11 623
Guo Yu United States 12 282 0.9× 452 1.5× 192 0.6× 164 1.5× 17 0.4× 24 576
Jonathan Frame United States 8 591 1.8× 469 1.6× 577 1.9× 120 1.1× 44 1.1× 22 790
Ehsan Foroumandi United States 11 105 0.3× 166 0.6× 103 0.3× 69 0.7× 22 0.6× 16 312

Countries citing papers authored by Oren Gilon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Oren Gilon

This figure shows the co-authorship network connecting the top 25 collaborators of Oren Gilon. A scholar is included among the top collaborators of Oren Gilon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Oren Gilon. Oren Gilon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Gauch, Martin, Frederik Kratzert, Daniel Klotz, et al.. (2025). How to deal w___ missing input data. Hydrology and earth system sciences. 29(21). 6221–6235.
2.
Nearing, Grey, Déborah Cohen, Martin Gauch, et al.. (2024). Global prediction of extreme floods in ungauged watersheds. Nature. 627(8004). 559–563. 134 indexed citations breakdown →
3.
Kratzert, Frederik, Grey Nearing, Nans Addor, et al.. (2023). Caravan - A global community dataset for large-sample hydrology. Scientific Data. 10(1). 61–61. 124 indexed citations breakdown →
4.
Gauch, Martin, Frederik Kratzert, Oren Gilon, et al.. (2023). In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance. Water Resources Research. 59(6). e2022WR033918–e2022WR033918. 14 indexed citations
5.
Frame, Jonathan, Frederik Kratzert, Daniel Klotz, et al.. (2022). Deep learning rainfall–runoff predictions of extreme events. Hydrology and earth system sciences. 26(13). 3377–3392. 156 indexed citations breakdown →
6.
Nearing, Grey, Daniel Klotz, Jonathan Frame, et al.. (2022). Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks. Hydrology and earth system sciences. 26(21). 5493–5513. 26 indexed citations
7.
Frame, Jonathan, Frederik Kratzert, Daniel Klotz, et al.. (2021). Deep learning rainfall-runoff predictions of extreme events. 17 indexed citations
8.
Hartman, Tzvika, Jeff Dean, Oren Gilon, et al.. (2020). Customization scenarios for de-identification of clinical notes. BMC Medical Informatics and Decision Making. 20(1). 14–14. 25 indexed citations

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.

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