Nadav Peleg

3.0k total citations · 1 hit paper
76 papers, 2.0k citations indexed

About

Nadav Peleg is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Nadav Peleg has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Global and Planetary Change, 42 papers in Atmospheric Science and 23 papers in Water Science and Technology. Recurrent topics in Nadav Peleg's work include Climate variability and models (34 papers), Hydrology and Watershed Management Studies (23 papers) and Flood Risk Assessment and Management (20 papers). Nadav Peleg is often cited by papers focused on Climate variability and models (34 papers), Hydrology and Watershed Management Studies (23 papers) and Flood Risk Assessment and Management (20 papers). Nadav Peleg collaborates with scholars based in Switzerland, United Kingdom and Israel. Nadav Peleg's co-authors include Péter Molnár, Efrat Morin, Simone Fatichi, Paolo Burlando, Francesco Marra, Athanasios Paschalis, Gabriele Manoli, Hayley J. Fowler, Haider Ali and Juan A. Acero and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Nadav Peleg

69 papers receiving 1.9k citations

Hit Papers

Global warming accelerates soil heterotrophic respiration 2023 2026 2024 2025 2023 25 50 75

Peers

Nadav Peleg
Athanasios Paschalis United Kingdom
Rocky Talchabhadel United States
Jin Huang China
Iman Mallakpour United States
Selma B. Guerreiro United Kingdom
Athanasios Paschalis United Kingdom
Nadav Peleg
Citations per year, relative to Nadav Peleg Nadav Peleg (= 1×) peers Athanasios Paschalis

Countries citing papers authored by Nadav Peleg

Since Specialization
Citations

This map shows the geographic impact of Nadav Peleg'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 Nadav Peleg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadav Peleg more than expected).

Fields of papers citing papers by Nadav Peleg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadav Peleg. 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 Nadav Peleg. The network helps show where Nadav Peleg may publish in the future.

Co-authorship network of co-authors of Nadav Peleg

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

All Works

20 of 20 papers shown
1.
Villarini, Gabriele, et al.. (2025). Impacts of urban dynamics and thermodynamics on convective rainfall across different urban forms. Urban Climate. 62. 102499–102499. 1 indexed citations
2.
Fatichi, Simone, et al.. (2025). Future glacier retreat and forest expansion in the Swiss Alps provide limited benefits for carbon sinks. Agricultural and Forest Meteorology. 372. 110682–110682.
3.
Bevacqua, Emanuele, et al.. (2025). Simulating Realistic Design Storms: A Joint Return Period Approach. Water Resources Research. 61(7).
4.
Laux, Patrick, Francesco Marra, Hendrik Feldmann, et al.. (2025). Future precipitation extremes and urban flood risk assessment using a non-stationary and convection-permitting climate-hydrodynamic modeling framework. Journal of Hydrology. 661. 133607–133607.
5.
Talmon, Ronen, et al.. (2025). Multimodal analysis of mother–child interaction using hyperscanning and diffusion maps. Scientific Reports. 15(1). 5431–5431. 2 indexed citations
6.
Benoît, Lionel, et al.. (2024). Precipitation-elevation relationship: Non-linearity and space–time variability prevail in the Swiss Alps. SHILAP Revista de lepidopterología. 25. 100186–100186. 2 indexed citations
7.
Peleg, Nadav, Daniel B. Wright, Hayley J. Fowler, et al.. (2024). A simple and robust approach for adapting design storms to assess climate-induced changes in flash flood hazard. Advances in Water Resources. 193. 104823–104823. 9 indexed citations
8.
Marra, Francesco, et al.. (2024). Intensification and Changing Spatial Extent of Heavy Rainfall in Urban Areas. Earth s Future. 12(9). 13 indexed citations
9.
Peleg, Nadav, et al.. (2024). Modeling Temperature‐Dependent Sub‐Daily Extreme Rainfall With a Gridded Weather Generator. Earth and Space Science. 11(6). 2 indexed citations
10.
Peleg, Nadav, et al.. (2024). Climate change shifts risk of soil salinity and land degradation in water-scarce regions. Agricultural Water Management. 307. 109223–109223. 7 indexed citations
11.
Beucler, Tom, et al.. (2024). Enhancing generalizability of data-driven urban flood models by incorporating contextual information. Hydrology and earth system sciences. 28(24). 5443–5458. 8 indexed citations
12.
Ramirez, Jorge, Nadav Peleg, Andy J. Baird, et al.. (2023). Modelling peatland development in high-boreal Quebec, Canada, with DigiBog_Boreal. Ecological Modelling. 478. 110298–110298. 5 indexed citations
13.
Ramirez, Jorge, Nadav Peleg, Pascal Horton, et al.. (2022). Modelling the long-term geomorphic response to check dam failures in an alpine channel with CAESAR-Lisflood. International Journal of Sediment Research. 37(5). 687–700. 18 indexed citations
14.
Marcolongo, Aris, Mykhailo Vladymyrov, Sebastian Lienert, et al.. (2022). Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks. SHILAP Revista de lepidopterología. 1. 4 indexed citations
15.
Peleg, Nadav, et al.. (2022). Gridded daily 2-m air temperature dataset for Ethiopia derived by debiasing and downscaling ERA5-Land for the period 1981–2010. Data in Brief. 46. 108844–108844. 3 indexed citations
16.
Fatichi, Simone, Nadav Peleg, Theodoros Mastrotheodoros, Christoforos Pappas, & Gabriele Manoli. (2021). An ecohydrological journey of 4500 years reveals a stable but threatened precipitation–groundwater recharge relation around Jerusalem. Science Advances. 7(37). eabe6303–eabe6303. 22 indexed citations
17.
Molnár, Péter, et al.. (2020). Daily streamflow prediction using an LSTM neural network in Alpine catchments. 1 indexed citations
18.
Nyman, Petter, Christoph Langhans, Philip J. Noske, et al.. (2020). Probability and Consequence of Postfire Erosion for Treatability of Water in an Unfiltered Supply System. Water Resources Research. 57(1). 16 indexed citations
19.
Ayala, Álvaro, Francesca Pellicciotti, Nadav Peleg, & Paolo Burlando. (2017). Melt and surface sublimation across a glacier in a dry environment: distributed energy-balance modelling of Juncal Norte Glacier, Chile. Journal of Glaciology. 63(241). 803–822. 35 indexed citations
20.
Peleg, Nadav, Eylon Shamir, Konstantine P. Georgakakos, & Efrat Morin. (2015). Assessing hydrological regime sensitivity to climate change in a convective rainfall environment: a case study of medium-sized eastern Mediterranean catchments. EGU General Assembly Conference Abstracts. 10777. 1 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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