Bernard Bilodeau

1.3k total citations
28 papers, 922 citations indexed

About

Bernard Bilodeau is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Bernard Bilodeau has authored 28 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 17 papers in Global and Planetary Change and 10 papers in Environmental Engineering. Recurrent topics in Bernard Bilodeau's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (16 papers) and Cryospheric studies and observations (12 papers). Bernard Bilodeau is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (16 papers) and Cryospheric studies and observations (12 papers). Bernard Bilodeau collaborates with scholars based in Canada, Netherlands and Czechia. Bernard Bilodeau's co-authors include Stéphane Bélair, Jocelyn Mailhot, Louis-Philippe Crevier, Marco L. Carrera, Ross Brown, Yves Delage, David A. Hanley, André Allan Méthot, G. Pellerin and Vincent Fortin and has published in prestigious journals such as Water Resources Research, Monthly Weather Review and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Bernard Bilodeau

26 papers receiving 864 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Bilodeau Canada 16 804 576 278 140 67 28 922
Marco L. Carrera Canada 17 746 0.9× 566 1.0× 260 0.9× 142 1.0× 73 1.1× 36 907
Naira Chaouch United States 11 433 0.5× 384 0.7× 167 0.6× 95 0.7× 30 0.4× 19 592
E. N. Rajagopal India 20 1.2k 1.5× 1.2k 2.0× 180 0.6× 95 0.7× 154 2.3× 76 1.4k
John Eylander United States 9 1.0k 1.3× 735 1.3× 318 1.1× 232 1.7× 55 0.8× 15 1.2k
Craig D. Smith Canada 14 884 1.1× 546 0.9× 117 0.4× 208 1.5× 14 0.2× 27 1.0k
Gao Hong-xia China 6 354 0.4× 197 0.3× 298 1.1× 119 0.8× 25 0.4× 13 503
Lazhu China 12 603 0.8× 312 0.5× 284 1.0× 105 0.8× 98 1.5× 21 744
Michael C. McCumber United States 8 822 1.0× 754 1.3× 162 0.6× 37 0.3× 45 0.7× 12 970
David Kitzmiller United States 12 1.2k 1.5× 786 1.4× 375 1.3× 238 1.7× 33 0.5× 41 1.3k

Countries citing papers authored by Bernard Bilodeau

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Bilodeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Bilodeau

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Bilodeau. A scholar is included among the top collaborators of Bernard Bilodeau 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 Bernard Bilodeau. Bernard Bilodeau 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.
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Bélair, Stéphane, et al.. (2023). Evaluating the impact of land surface on medium‐range weather forecasts using screen‐level analyses. Quarterly Journal of the Royal Meteorological Society. 149(755). 2146–2175. 1 indexed citations
3.
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
4.
Bélair, Stéphane, et al.. (2021). Comparing Assimilation of Synthetic Soil Moisture Versus C‐Band Backscatter for Hyper‐Resolution Land Surface Modeling. Water Resources Research. 57(4). 7 indexed citations
5.
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
6.
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8.
Carrera, Marco L., et al.. (2016). Towards the implementation of L-band Soil Moisture Brightness Temperatures in the Canadian Land Data Assimilation System (CaLDAS). EGU General Assembly Conference Abstracts. 1 indexed citations
9.
Carrera, Marco L., Stéphane Bélair, & Bernard Bilodeau. (2015). The Canadian Land Data Assimilation System (CaLDAS): Description and Synthetic Evaluation Study. Journal of Hydrometeorology. 16(3). 1293–1314. 100 indexed citations
10.
Carrera, Marco L., et al.. (2010). Evaluation of Snowpack Simulations over the Canadian Rockies with an Experimental Hydrometeorological Modeling System. Journal of Hydrometeorology. 11(5). 1123–1140. 49 indexed citations
11.
Bélair, Stéphane, Marco L. Carrera, & Bernard Bilodeau. (2009). Soil Moisture Remote Sensing in the Canadian Land Data Assimilation System (CaLDAS). AGUSM. 2009. 1 indexed citations
12.
Mahfouf, Jean‐François & Bernard Bilodeau. (2007). Further investigation on adjoint sensitivity of surface precipitation to initial conditions. Meteorologische Zeitschrift. 16(6). 595–605.
13.
Deblonde, G., et al.. (2007). One-Dimensional Variational Data Assimilation of SSM/I Observations in Rainy Atmospheres at MSC. Monthly Weather Review. 135(1). 152–172. 20 indexed citations
14.
Bélair, Stéphane, Ross Brown, Jocelyn Mailhot, Bernard Bilodeau, & Louis-Philippe Crevier. (2003). Operational Implementation of the ISBA Land Surface Scheme in the Canadian Regional Weather Forecast Model. Part II: Cold Season Results. Journal of Hydrometeorology. 4(2). 371–386. 161 indexed citations
15.
Bélair, Stéphane, Louis-Philippe Crevier, Jocelyn Mailhot, Bernard Bilodeau, & Yves Delage. (2003). Operational Implementation of the ISBA Land Surface Scheme in the Canadian Regional Weather Forecast Model. Part I: Warm Season Results. Journal of Hydrometeorology. 4(2). 352–370. 145 indexed citations
16.
Bélair, Stéphane, André Allan Méthot, Jocelyn Mailhot, et al.. (2000). Operational Implementation of the Fritsch–Chappell Convective Scheme in the 24-km Canadian Regional Model. Weather and Forecasting. 15(3). 257–274. 26 indexed citations
17.
Mailhot, Jocelyn, et al.. (1997). Development of the 35‐km version of the Canadian regional forecast system. ATMOSPHERE-OCEAN. 35(1). 1–28. 33 indexed citations
18.
Mailhot, Jocelyn, et al.. (1996). A numerical case study of a polar low in the Labrador Sea. Tellus A Dynamic Meteorology and Oceanography. 48(3). 383–402. 22 indexed citations
19.
Mailhot, Jocelyn, et al.. (1996). A numerical case study of a polar low in the Labrador Sea. Tellus A Dynamic Meteorology and Oceanography. 48(3). 383–383. 30 indexed citations
20.
Mailhot, Jocelyn, Bernard Bilodeau, André Allan Méthot, et al.. (1995). Changes to the Canadian regional forecast system: Description and evaluation of the 50‐km version. ATMOSPHERE-OCEAN. 33(1). 55–80. 15 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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