Benjamin Renard

6.2k total citations · 1 hit paper
96 papers, 4.2k citations indexed

About

Benjamin Renard is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology. According to data from OpenAlex, Benjamin Renard has authored 96 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Global and Planetary Change, 56 papers in Water Science and Technology and 16 papers in Ecology. Recurrent topics in Benjamin Renard's work include Hydrology and Watershed Management Studies (56 papers), Hydrology and Drought Analysis (51 papers) and Flood Risk Assessment and Management (30 papers). Benjamin Renard is often cited by papers focused on Hydrology and Watershed Management Studies (56 papers), Hydrology and Drought Analysis (51 papers) and Flood Risk Assessment and Management (30 papers). Benjamin Renard collaborates with scholars based in France, Australia and United States. Benjamin Renard's co-authors include Mark Thyer, M. Lang, Dmitri Kavetski, G. Kuczera, Stewart W. Franks, Jérôme Le Coz, Robert W. Dudley, Glenn A. Hodgkins, Sri Srikanthan and Xun Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Journal of Climate.

In The Last Decade

Benjamin Renard

92 papers receiving 4.0k citations

Hit Papers

Understanding predictive uncertainty in hydrologic modeli... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Renard France 31 3.0k 2.7k 914 826 474 96 4.2k
Jin Teng Australia 27 3.1k 1.0× 2.6k 1.0× 735 0.8× 1.0k 1.3× 403 0.9× 78 4.0k
Aizhong Ye China 35 2.4k 0.8× 1.6k 0.6× 921 1.0× 1.3k 1.5× 518 1.1× 104 3.8k
Venkatesh Merwade United States 34 3.3k 1.1× 3.0k 1.1× 1.2k 1.3× 1.1k 1.3× 802 1.7× 131 4.6k
Florence Habets France 36 3.2k 1.1× 2.8k 1.1× 967 1.1× 1.6k 1.9× 349 0.7× 88 4.5k
Markus Disse Germany 32 2.2k 0.7× 1.7k 0.6× 801 0.9× 1.0k 1.3× 302 0.6× 120 3.4k
Robert Leconte Canada 33 2.5k 0.8× 2.4k 0.9× 810 0.9× 1.6k 1.9× 290 0.6× 128 4.1k
Martijn J. Booij Netherlands 36 2.7k 0.9× 3.0k 1.1× 1.5k 1.7× 1.0k 1.2× 399 0.8× 151 4.5k
Lucy Marshall Australia 34 1.9k 0.6× 2.4k 0.9× 1.3k 1.4× 679 0.8× 633 1.3× 131 3.8k
Huilin Gao United States 36 2.5k 0.8× 2.2k 0.8× 1.3k 1.5× 1.1k 1.3× 453 1.0× 96 4.1k
Faisal Hossain United States 39 3.2k 1.1× 2.1k 0.8× 1.1k 1.2× 1.9k 2.4× 557 1.2× 183 4.8k

Countries citing papers authored by Benjamin Renard

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Renard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Renard

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Renard. A scholar is included among the top collaborators of Benjamin Renard 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 Benjamin Renard. Benjamin Renard 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.
Renard, Benjamin, et al.. (2025). smash v1.0: a differentiable and regionalizable high-resolution hydrological modeling and data assimilation framework. Geoscientific model development. 18(19). 7003–7034.
2.
Garambois, Pierre‐André, et al.. (2025). A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling. Hydrology and earth system sciences. 29(15). 3589–3613. 1 indexed citations
3.
Renard, Benjamin, et al.. (2024). Statistiques hydrologiques en crue : de la Banque HYDRO à l’HydroPortail. SHILAP Revista de lepidopterología. 110(1). 1 indexed citations
4.
Lang, M., et al.. (2024). A comprehensive uncertainty framework for historical flood frequency analysis: a 500-year-long case study. Hydrology and earth system sciences. 28(22). 5031–5047. 2 indexed citations
6.
Hodgkins, Glenn A., Benjamin Renard, Paul H. Whitfield, et al.. (2024). Climate Driven Trends in Historical Extreme Low Streamflows on Four Continents. Water Resources Research. 60(6). 9 indexed citations
7.
Renard, Benjamin, David McInerney, Seth Westra, et al.. (2023). Floods and Heavy Precipitation at the Global Scale: 100‐Year Analysis and 180‐Year Reconstruction. Journal of Geophysical Research Atmospheres. 128(9).
8.
Weigel, R. S., J. D. Vandegriff, J. B. Faden, et al.. (2021). HAPI: An API Standard for Accessing Heliophysics Time Series Data. Journal of Geophysical Research Space Physics. 126(12). 10 indexed citations
9.
Renard, Benjamin, Mark Thyer, David McInerney, et al.. (2021). A Hidden Climate Indices Modeling Framework for Multivariable Space‐Time Data. Water Resources Research. 58(1). 4 indexed citations
10.
Renard, Benjamin & Mark Thyer. (2019). Revealing Hidden Climate Indices from the Occurrence of Hydrologic Extremes. Water Resources Research. 55(9). 7662–7681. 18 indexed citations
11.
Renard, Benjamin, et al.. (2019). Shift Happens! Adjusting Stage‐Discharge Rating Curves to Morphological Changes at Known Times. Water Resources Research. 55(4). 2876–2899. 35 indexed citations
13.
Kiang, Julie E., Hilary McMillan, Gemma Coxon, et al.. (2018). A Comparison of Methods for Streamflow Uncertainty Estimation. Water Resources Research. 54(10). 7149–7176. 130 indexed citations
14.
Renard, Benjamin, et al.. (2018). Impact of Stage Measurement Errors on Streamflow Uncertainty. Water Resources Research. 54(3). 1952–1976. 60 indexed citations
15.
Branger, Flora, et al.. (2015). Improving the quantification of flash flood hydrographs and reducing their uncertainty using noncontact streamgauging methods. EGU General Assembly Conference Abstracts. 5768. 1 indexed citations
16.
Kochanek, Krzysztof, Benjamin Renard, Patrick Arnaud, et al.. (2014). A data-based comparison of flood frequency analysis methods used in France. Natural hazards and earth system sciences. 14(2). 295–308. 30 indexed citations
17.
Garavaglia, F., M. Lang, Emmanuel Paquet, et al.. (2011). Reliability and robustness of rainfall compound distribution model based on weather pattern sub-sampling. Hydrology and earth system sciences. 15(2). 519–532. 34 indexed citations
18.
Renard, Benjamin, Dmitri Kavetski, G. Kuczera, Mark Thyer, & Stewart W. Franks. (2010). Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors. Water Resources Research. 46(5). 692 indexed citations breakdown →
19.
Sauvion, Nicolas, et al.. (2005). Impact of Melon Accessions Resistant to Aphids on the Demographic Potential of Silverleaf Whitefly. Journal of Economic Entomology. 98(2). 557–567. 16 indexed citations
20.
Morin, Odile, et al.. (2004). Surveillance mycologique des patients à haut risque de candidose invasive : place de l'antigénémie mannane. Journal de Mycologie Médicale. 14(1). 34–42. 2 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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