Ervin Zsótér

7.0k total citations · 1 hit paper
48 papers, 4.1k citations indexed

About

Ervin Zsótér is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Ervin Zsótér has authored 48 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Global and Planetary Change, 28 papers in Atmospheric Science and 26 papers in Water Science and Technology. Recurrent topics in Ervin Zsótér's work include Flood Risk Assessment and Management (27 papers), Hydrology and Watershed Management Studies (26 papers) and Climate variability and models (19 papers). Ervin Zsótér is often cited by papers focused on Flood Risk Assessment and Management (27 papers), Hydrology and Watershed Management Studies (26 papers) and Climate variability and models (19 papers). Ervin Zsótér collaborates with scholars based in United Kingdom, Italy and Sweden. Ervin Zsótér's co-authors include Shaun Harrigan, Gabriele Arduini, Emanuel Dutra, Joaquı́n Muñoz-Sabater, Gianpaolo Balsamo, Souhail Boussetta, Margarita Choulga, Anna Agustí‐Panareda, Carlo Buontempo and Diego G. Miralles and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Ervin Zsótér

47 papers receiving 4.0k citations

Hit Papers

ERA5-Land: a state-of-the-art global reanalysis dataset f... 2021 2026 2022 2024 2021 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ervin Zsótér United Kingdom 23 2.7k 1.9k 1.3k 849 385 48 4.1k
Shaun Harrigan United Kingdom 26 3.3k 1.2× 1.9k 1.0× 1.8k 1.4× 996 1.2× 468 1.2× 55 4.8k
Carlo Buontempo United Kingdom 22 2.7k 1.0× 2.0k 1.0× 780 0.6× 833 1.0× 413 1.1× 51 4.3k
Souhail Boussetta United Kingdom 24 2.9k 1.1× 2.4k 1.3× 863 0.7× 1.1k 1.3× 475 1.2× 45 4.5k
Xihui Gu China 35 2.5k 0.9× 1.2k 0.6× 1.2k 0.9× 625 0.7× 394 1.0× 125 3.2k
Simon Michael Papalexiou Canada 34 3.7k 1.3× 2.5k 1.3× 1.4k 1.1× 710 0.8× 204 0.5× 111 4.8k
Jianfeng Li China 41 3.6k 1.3× 1.8k 0.9× 1.3k 1.0× 831 1.0× 338 0.9× 157 4.9k
Khaled H. Hamed Egypt 14 3.5k 1.3× 1.4k 0.7× 1.6k 1.2× 720 0.8× 509 1.3× 42 4.7k
Agnès Ducharne France 33 3.2k 1.2× 2.0k 1.0× 2.0k 1.5× 1.3k 1.5× 678 1.8× 86 5.1k
Qiaohong Sun China 26 3.0k 1.1× 2.3k 1.2× 971 0.8× 382 0.4× 344 0.9× 45 4.0k
Christopher Sampson United Kingdom 29 3.7k 1.4× 1.6k 0.9× 1.9k 1.5× 718 0.8× 646 1.7× 49 4.7k

Countries citing papers authored by Ervin Zsótér

Since Specialization
Citations

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

Fields of papers citing papers by Ervin Zsótér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ervin Zsótér

This figure shows the co-authorship network connecting the top 25 collaborators of Ervin Zsótér. A scholar is included among the top collaborators of Ervin Zsótér 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 Ervin Zsótér. Ervin Zsótér 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.
Wiart, Corentin Carton de, Stefania Grimaldi, Ervin Zsótér, et al.. (2025). Optimizing Warnings for Hydrologic Ensemble Prediction Systems for Improved Decision-Making. Journal of Hydrometeorology. 26(6). 675–689.
2.
Prudhomme, Christel, Ervin Zsótér, Angélique Melet, et al.. (2024). Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS. Meteorological Applications. 31(2). 8 indexed citations
3.
Harrigan, Shaun, Ervin Zsótér, Hannah Cloke, Peter Salamon, & Christel Prudhomme. (2023). Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System. Hydrology and earth system sciences. 27(1). 1–19. 32 indexed citations
4.
Wang, Han, Ping‐an Zhong, Ervin Zsótér, et al.. (2023). Regional Adaptability of Global and Regional Hydrological Forecast System. Water. 15(2). 347–347. 4 indexed citations
5.
Mayer, Michael, et al.. (2022). Diagnostic evaluation of river discharge into the Arctic Ocean and its impact on oceanic volume transports. Hydrology and earth system sciences. 26(2). 279–304. 11 indexed citations
6.
Cao, Bin, Gabriele Arduini, & Ervin Zsótér. (2022). Brief communication: Improving ERA5-Land soil temperature in permafrost regions using an optimized multi-layer snow scheme. ˜The œcryosphere. 16(7). 2701–2708. 15 indexed citations
7.
Muñoz-Sabater, Joaquı́n, Emanuel Dutra, Anna Agustí‐Panareda, et al.. (2021). ERA5-Land: a state-of-the-art global reanalysis dataset for land applications. Earth system science data. 13(9). 4349–4383. 2493 indexed citations breakdown →
8.
Boussetta, Souhail, Gianpaolo Balsamo, Gabriele Arduini, et al.. (2021). ECLand: The ECMWF Land Surface Modelling System. Atmosphere. 12(6). 723–723. 37 indexed citations
9.
Ficchì, Andrea, Hannah Cloke, Cláudia Neves, et al.. (2021). Beyond El Niño: Unsung climate modes drive African floods. Weather and Climate Extremes. 33. 100345–100345. 14 indexed citations
11.
Harrigan, Shaun, Ervin Zsótér, Lorenzo Alfieri, et al.. (2020). GloFAS-ERA5 operational global river discharge reanalysis 1979–present. Earth system science data. 12(3). 2043–2060. 211 indexed citations
12.
Harrigan, Shaun, Ervin Zsótér, Lorenzo Alfieri, et al.. (2020). GloFAS-ERA5 operational global river discharge reanalysis 1979-present. 7 indexed citations
13.
Zsótér, Ervin, Hannah Cloke, Christel Prudhomme, et al.. (2020). Trends in the GloFAS-ERA5 river discharge reanalysis. CentAUR (University of Reading). 6 indexed citations
14.
Cloke, Hannah, Ervin Zsótér, Zachary L. Flamig, et al.. (2019). Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin. Hydrology and earth system sciences. 23(7). 3057–3080. 96 indexed citations
15.
Emerton, Rebecca, Ervin Zsótér, Louise Arnal, et al.. (2018). Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1.0. Geoscientific model development. 11(8). 3327–3346. 77 indexed citations
16.
Emerton, Rebecca, Ervin Zsótér, Louise Arnal, et al.. (2018). Developing a global operational seasonal hydro-meteorological forecasting system. EGU General Assembly Conference Abstracts. 8188. 2 indexed citations
17.
Perez, Erin Coughlan de, Bart van den Hurk, Maarten van Aalst, et al.. (2016). Action-based flood forecasting for triggering humanitarian action. Hydrology and earth system sciences. 20(9). 3549–3560. 72 indexed citations
18.
Baugh, Calum, Florian Pappenberger, Fredrik Wetterhall, Tim Hewson, & Ervin Zsótér. (2016). A global flash flood forecasting system. EGUGA. 1 indexed citations
19.
Zsótér, Ervin. (2014). GEOWOW - Benefits of TIGGE ensemble forecast data for the GEOSS community. EGUGA. 11487. 1 indexed citations
20.
Dutra, Emanuel, Michail Diamantakis, Ervin Zsótér, et al.. (2013). The extreme forecast index at the seasonal scale. Atmospheric Science Letters. 14(4). 256–262. 17 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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