Étienne Gaborit

686 total citations
23 papers, 386 citations indexed

About

Étienne Gaborit is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Étienne Gaborit has authored 23 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 14 papers in Global and Planetary Change and 13 papers in Atmospheric Science. Recurrent topics in Étienne Gaborit's work include Hydrology and Watershed Management Studies (20 papers), Cryospheric studies and observations (11 papers) and Flood Risk Assessment and Management (8 papers). Étienne Gaborit is often cited by papers focused on Hydrology and Watershed Management Studies (20 papers), Cryospheric studies and observations (11 papers) and Flood Risk Assessment and Management (8 papers). Étienne Gaborit collaborates with scholars based in Canada, United States and Austria. Étienne Gaborit's co-authors include François Anctil, Vincent Fortin, Peter A. Vanrolleghem, Dirk Muschalla, Geneviève Pelletier, Bryan A. Tolson, Vincent Vionnet, Guy Roy, Lauren M. Fry and Nicolas Gasset and has published in prestigious journals such as Journal of Hydrology, Remote Sensing and Hydrological Processes.

In The Last Decade

Étienne Gaborit

22 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Étienne Gaborit Canada 10 255 244 163 152 46 23 386
Zhihua Zhu China 9 275 1.1× 433 1.8× 247 1.5× 133 0.9× 20 0.4× 15 539
Eric Sprokkereef Netherlands 7 239 0.9× 246 1.0× 95 0.6× 94 0.6× 22 0.5× 14 310
Søren H. Rasmussen Denmark 8 156 0.6× 207 0.8× 99 0.6× 113 0.7× 19 0.4× 13 264
Daniela Biondi Italy 11 281 1.1× 256 1.0× 153 0.9× 102 0.7× 19 0.4× 24 369
Laurène Bouaziz Netherlands 8 215 0.8× 205 0.8× 108 0.7× 57 0.4× 22 0.5× 17 281
Hongliang Xu China 10 256 1.0× 308 1.3× 115 0.7× 197 1.3× 14 0.3× 14 451
Zhengtao Cui United States 10 384 1.5× 369 1.5× 161 1.0× 206 1.4× 26 0.6× 16 510
Johan Van Assel Belgium 6 183 0.7× 262 1.1× 170 1.0× 200 1.3× 46 1.0× 15 395
A. L. Dugger United States 12 330 1.3× 342 1.4× 117 0.7× 182 1.2× 15 0.3× 39 443
Fabien Cochand Switzerland 8 202 0.8× 106 0.4× 101 0.6× 68 0.4× 20 0.4× 12 259

Countries citing papers authored by Étienne Gaborit

Since Specialization
Citations

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

Fields of papers citing papers by Étienne Gaborit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Étienne Gaborit

This figure shows the co-authorship network connecting the top 25 collaborators of Étienne Gaborit. A scholar is included among the top collaborators of Étienne Gaborit 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 Étienne Gaborit. Étienne Gaborit 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.
Gaborit, Étienne, Juliane Mai, Hongren Shen, et al.. (2025). Hydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro model. Scientific Data. 12(1). 127–127. 1 indexed citations
2.
Boucher, Marie‐Amélie, et al.. (2025). Cold climates, complex hydrology: can a land surface model accurately simulate deep percolation?. Hydrology and earth system sciences. 29(11). 2445–2465.
3.
Mai, Juliane, Hongren Shen, Bryan A. Tolson, et al.. (2022). The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL). Hydrology and earth system sciences. 26(13). 3537–3572. 64 indexed citations
4.
Gasset, Nicolas, Vincent Fortin, Marco L. Carrera, et al.. (2021). A 10 km North American precipitation and land-surface reanalysis based on the GEM atmospheric model. Hydrology and earth system sciences. 25(9). 4917–4945. 44 indexed citations
5.
Han, Ming, Juliane Mai, Bryan A. Tolson, et al.. (2020). Subwatershed-based lake and river routing products for hydrologic and land surface models applied over Canada. Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 45(3). 237–251. 9 indexed citations
6.
Vionnet, Vincent, Vincent Fortin, Étienne Gaborit, et al.. (2020). Assessing the factors governing the ability to predict late-spring flooding in cold-region mountain basins. Hydrology and earth system sciences. 24(4). 2141–2165. 37 indexed citations
7.
Anctil, François, Maria Abrahamowicz, Étienne Gaborit, et al.. (2020). Evaluation of the Soil, Vegetation, and Snow (SVS) Land Surface Model for the Simulation of Surface Energy Fluxes and Soil Moisture under Snow-Free Conditions. Atmosphere. 11(3). 278–278. 7 indexed citations
8.
Abaza, Mabrouk, Vincent Fortin, Étienne Gaborit, Stéphane Bélair, & Camille Garnaud. (2020). Assessing 32-Day Hydrological Ensemble Forecasts in the Lake Champlain–Richelieu River Watershed. Journal of Hydrologic Engineering. 25(10). 2 indexed citations
9.
Vionnet, Vincent, Vincent Fortin, Étienne Gaborit, et al.. (2019). High-resolution hydrometeorological modelling of the June 2013flood in southern Alberta, Canada. 4 indexed citations
10.
Bélair, Stéphane, Marco L. Carrera, Maria Abrahamowicz, et al.. (2019). Spaceborne L-Band Radiometry in Environment and Climate Change Canada (ECCC)’S Numerical Analysis and Prediction Systems. 7526–7528. 2 indexed citations
11.
Vionnet, Vincent, Vincent Fortin, Étienne Gaborit, et al.. (2019). A multi-scale meteorological dataset of the June 2013 flood in Southern Alberta, Canada. 1 indexed citations
12.
13.
Gaborit, Étienne, Vincent Fortin, Xiaoyong Xu, et al.. (2017). A hydrological prediction system based on the SVS land-surface scheme: efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin. Hydrology and earth system sciences. 21(9). 4825–4839. 27 indexed citations
14.
Gaborit, Étienne, Vincent Fortin, Bryan A. Tolson, et al.. (2016). Great Lakes Runoff Inter-comparison Project, phase 2: Lake Ontario (GRIP-O). Journal of Great Lakes Research. 43(2). 217–227. 17 indexed citations
15.
16.
Gaborit, Étienne, François Anctil, Geneviève Pelletier, & Peter A. Vanrolleghem. (2015). Exploring forecast-based management strategies for stormwater detention ponds. Urban Water Journal. 13(8). 841–851. 23 indexed citations
17.
Gaborit, Étienne, et al.. (2015). Comparing global and local calibration schemes from a differential split-sample test perspective. Canadian Journal of Earth Sciences. 52(11). 990–999. 21 indexed citations
18.
Gaborit, Étienne, François Anctil, Vincent Fortin, & Geneviève Pelletier. (2013). Hydrologic evaluation of spatially disaggregated global ensemble rainfall forecasts. Hydrological Processes. 28(17). 4682–4693. 3 indexed citations
19.
Gaborit, Étienne, et al.. (2012). Improving the performance of stormwater detention basins by real-time control using rainfall forecasts. Urban Water Journal. 10(4). 230–246. 73 indexed citations
20.
Gaborit, Étienne, François Anctil, Vincent Fortin, & Geneviève Pelletier. (2012). On the reliability of spatially disaggregated global ensemble rainfall forecasts. Hydrological Processes. 27(1). 45–56. 16 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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