Guy Shalev

1.5k total citations · 4 hit papers
11 papers, 577 citations indexed

About

Guy Shalev is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Guy Shalev has authored 11 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Water Science and Technology, 8 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Guy Shalev's work include Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (7 papers) and Hydrological Forecasting Using AI (6 papers). Guy Shalev is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (7 papers) and Hydrological Forecasting Using AI (6 papers). Guy Shalev collaborates with scholars based in United States, Austria and United Kingdom. Guy Shalev's co-authors include Grey Nearing, Daniel Klotz, Frederik Kratzert, Martin Gauch, Oren Gilon, Sella Nevo, Jonathan Frame, Yossi Matias, Avinatan Hassidim and Hoshin V. Gupta and has published in prestigious journals such as Nature, Hydrology and earth system sciences and Agricultural Water Management.

In The Last Decade

Guy Shalev

10 papers receiving 558 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning rainfall–runoff predictions of extreme events

2022 156 citations Jonathan Frame, Frederik Kratzert et al. Hydrology and earth system sciences profile →
Global prediction of extreme floods in ungauged watersheds

2024 134 citations Grey Nearing, Déborah Cohen et al. Nature profile →
Caravan - A global community dataset for large-sample hydrology

2023 124 citations Frederik Kratzert, Grey Nearing et al. Scientific Data profile →
Hybrid forecasting: blending climate predictions with AI models

2023 93 citations Louise Slater, Louise Arnal et al. Hydrology and earth system sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guy Shalev United States	8	372	348	345	133	24	11	577
Yingchun Huang China	10	297 0.8×	198 0.6×	327 0.9×	149 1.1×	20 0.8×	18	462
Oren Gilon United States	7	330 0.9×	301 0.9×	301 0.9×	106 0.8×	16 0.7×	8	496
D. L. Blodgett United States	11	497 1.3×	252 0.7×	399 1.2×	119 0.9×	41 1.7×	17	621
Guo Yu United States	12	282 0.8×	192 0.6×	452 1.3×	164 1.2×	17 0.7×	24	576
Fatih Tosunoğlu Türkiye	15	257 0.7×	165 0.5×	550 1.6×	102 0.8×	42 1.8×	38	671
Miyuru B. Gunathilake Sri Lanka	14	242 0.7×	155 0.4×	300 0.9×	101 0.8×	32 1.3×	41	475
Faisal Baig United Arab Emirates	15	175 0.5×	150 0.4×	333 1.0×	110 0.8×	38 1.6×	36	513
Jonathan Frame United States	8	591 1.6×	577 1.7×	469 1.4×	120 0.9×	46 1.9×	22	790
Taereem Kim United States	10	253 0.7×	215 0.6×	309 0.9×	138 1.0×	36 1.5×	20	471
Martin Gauch United States	13	771 2.1×	718 2.1×	650 1.9×	187 1.4×	24 1.0×	25	1.0k

Countries citing papers authored by Guy Shalev

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Guy Shalev

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Shalev. A scholar is included among the top collaborators of Guy Shalev 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 Guy Shalev. Guy Shalev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Kratzert, Frederik, et al.. (2025). GRDC-Caravan: extending Caravan with data from the Global Runoff Data Centre. Earth system science data. 17(9). 4613–4625.

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.

Slater, Louise, Louise Arnal, Marie‐Amélie Boucher, et al.. (2023). Hybrid forecasting: blending climate predictions with AI models. Hydrology and earth system sciences. 27(9). 1865–1889. 93 indexed citations breakdown →

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.

Nearing, Grey, Daniel Klotz, Alden Keefe Sampson, et al.. (2021). Technical Note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks. 7 indexed citations

8.

Kratzert, Frederik, Daniel Klotz, Guy Shalev, et al.. (2020). Towards deep learning based flood forecasting for ungauged basins. 2 indexed citations

9.

Kratzert, Frederik, Daniel Klotz, Guy Shalev, et al.. (2019). Benchmarking a Catchment-Aware Long Short-Term MemoryNetwork (LSTM) for Large-Scale Hydrological Modeling. arXiv (Cornell University). 18 indexed citations

10.

Shalev, Guy, Roee Admon, Zohar Berman, & Daphna Joel. (2019). A mosaic of sex-related structural changes in the human brain following exposure to real-life stress. Brain Structure and Function. 225(1). 461–466. 7 indexed citations

11.

Pasternak, D., et al.. (1986). Irrigation with brackish water under desert conditions VI. Automated systems to produce a range of salt concentrations in irrigation water for experimental plots. Agricultural Water Management. 12(1-2). 137–147. 10 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.

Explore authors with similar magnitude of impact