Benoît Hingray

3.8k total citations
91 papers, 2.4k citations indexed

About

Benoît Hingray is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Benoît Hingray has authored 91 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Water Science and Technology, 50 papers in Global and Planetary Change and 28 papers in Atmospheric Science. Recurrent topics in Benoît Hingray's work include Hydrology and Watershed Management Studies (48 papers), Hydrology and Drought Analysis (30 papers) and Climate variability and models (28 papers). Benoît Hingray is often cited by papers focused on Hydrology and Watershed Management Studies (48 papers), Hydrology and Drought Analysis (30 papers) and Climate variability and models (28 papers). Benoît Hingray collaborates with scholars based in France, Switzerland and Ivory Coast. Benoît Hingray's co-authors include Bettina Schaefli, A. Musy, Abdelkader Mezghani, Baptiste François, Jean‐Dominique Creutin, Damien Raynaud, Guillaume Évin, André Musy, Anne‐Catherine Favre and Marco Borga and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Benoît Hingray

80 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Hingray France 28 1.2k 1.2k 891 397 217 91 2.4k
Kolbjørn Engeland Norway 21 1.2k 1.0× 989 0.8× 340 0.4× 180 0.5× 400 1.8× 49 1.8k
Yagob Dinpashoh Iran 26 1.2k 1.0× 2.6k 2.2× 706 0.8× 236 0.6× 705 3.2× 59 3.5k
Evangelos Baltas Greece 22 1.1k 0.9× 1.2k 1.0× 375 0.4× 66 0.2× 457 2.1× 115 2.0k
Andreas Efstratiadis Greece 26 1.4k 1.1× 1.3k 1.1× 314 0.4× 111 0.3× 499 2.3× 93 2.2k
Dedi Liu China 28 1.4k 1.1× 1.1k 0.9× 301 0.3× 102 0.3× 453 2.1× 99 2.2k
Rajib Maity India 28 733 0.6× 1.5k 1.2× 599 0.7× 202 0.5× 819 3.8× 114 2.2k
Tongtiegang Zhao China 31 1.4k 1.1× 1.7k 1.4× 743 0.8× 353 0.9× 502 2.3× 132 3.1k
Hosni Ghedira United Arab Emirates 28 206 0.2× 913 0.8× 669 0.8× 214 0.5× 698 3.2× 104 2.3k
Sandrine Anquetin France 32 1.0k 0.8× 2.1k 1.8× 1.3k 1.5× 59 0.1× 866 4.0× 78 3.2k
Rensheng Chen China 26 726 0.6× 1.0k 0.9× 1.3k 1.4× 92 0.2× 351 1.6× 173 2.6k

Countries citing papers authored by Benoît Hingray

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Hingray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Hingray

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Hingray. A scholar is included among the top collaborators of Benoît Hingray 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 Benoît Hingray. Benoît Hingray 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.
Mathy, Sandrine, et al.. (2025). Designing policies to reduce the carbon footprint of mini-grids in Africa. Applied Energy. 396. 126296–126296.
2.
Staudinger, Maria, et al.. (2025). The role of antecedent conditions in translating precipitation events into extreme floods at the catchment scale and in a large-basin context. Natural hazards and earth system sciences. 25(1). 247–265. 4 indexed citations
3.
Kauzlaric, Martina, Maria Staudinger, Guillaume Évin, et al.. (2025). Impact of different weather generator scenarios on extreme flood estimates in Switzerland. Stochastic Environmental Research and Risk Assessment. 39(3). 847–866.
6.
7.
Hingray, Benoît, et al.. (2023). Accounting for precipitation asymmetry in a multiplicative random cascade disaggregation model. Hydrology and earth system sciences. 27(20). 3643–3661. 4 indexed citations
8.
Évin, Guillaume, Samuel Somot, & Benoît Hingray. (2021). Balanced estimate and uncertainty assessment of European climate change using the large EURO-CORDEX regional climate model ensemble. Earth System Dynamics. 12(4). 1543–1569. 35 indexed citations
9.
Brunner, Manuela I., Benoît Hingray, Massimiliano Zappa, & Anne‐Catherine Favre. (2019). Future Trends in the Interdependence Between Flood Peaks and Volumes: Hydro‐Climatological Drivers and Uncertainty. Water Resources Research. 55(6). 4745–4759. 29 indexed citations
10.
Évin, Guillaume, Anne‐Catherine Favre, & Benoît Hingray. (2018). Stochastic generation of multi-site daily precipitation focusing on extreme events. Hydrology and earth system sciences. 22(1). 655–672. 64 indexed citations
11.
Évin, Guillaume, Anne‐Catherine Favre, & Benoît Hingray. (2017). Stochastic generation of multi-site daily precipitation for theassessment of extreme floods in Switzerland. 1 indexed citations
12.
Vidal, Jean‐Philippe, et al.. (2016). Hierarchy of climate and hydrological uncertainties in transient low-flow projections. Hydrology and earth system sciences. 20(9). 3651–3672. 54 indexed citations
13.
François, Baptiste, Benoît Hingray, Jean‐Dominique Creutin, et al.. (2015). Complementarity among climate related energy sources: Sensitivity study to climate characteristics across Europe. EGUGA. 482. 1 indexed citations
14.
15.
François, Baptiste, Jean‐Dominique Creutin, Benoît Hingray, & Davide Zoccatelli. (2014). Integration of small run-of-river and solar power: The hydrological regime prediction/assessment accuracy. EGU General Assembly Conference Abstracts. 5845. 1 indexed citations
16.
François, Baptiste, Benoît Hingray, Frédéric Hendrickx, & Jean‐Dominique Creutin. (2014). Seasonal patterns of water storage as signatures of the climatological equilibrium between resource and demand. Hydrology and earth system sciences. 18(9). 3787–3800. 14 indexed citations
17.
François, Baptiste, Benoît Hingray, Frédéric Hendrickx, & Jean‐Dominique Creutin. (2013). Storage water value as a signature of the climatological balance between resource and uses. 2 indexed citations
18.
Hingray, Benoît, et al.. (2010). Signature-based model calibration for hydrological prediction in mesoscale Alpine catchments. Hydrological Sciences Journal. 55(6). 1002–1016. 59 indexed citations
19.
Hingray, Benoît, A. Musy, Laurent Pfister, et al.. (2006). Simulation of streamflow by a regionalized lumped rainfall-runoff model over Luxembourg. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 307. 256–263. 1 indexed citations
20.
Schaefli, Bettina, Benoît Hingray, & A. Musy. (2004). Use of the Metropolis-Hastings Algorithm for the quantification of the hydrological modelling uncertainty in climate change impact studies. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 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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