Sylvie Leroyer

612 total citations
29 papers, 381 citations indexed

About

Sylvie Leroyer is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Sylvie Leroyer has authored 29 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 16 papers in Atmospheric Science and 16 papers in Global and Planetary Change. Recurrent topics in Sylvie Leroyer's work include Urban Heat Island Mitigation (16 papers), Meteorological Phenomena and Simulations (13 papers) and Wind and Air Flow Studies (10 papers). Sylvie Leroyer is often cited by papers focused on Urban Heat Island Mitigation (16 papers), Meteorological Phenomena and Simulations (13 papers) and Wind and Air Flow Studies (10 papers). Sylvie Leroyer collaborates with scholars based in Canada, France and United States. Sylvie Leroyer's co-authors include Stéphane Bélair, Jocelyn Mailhot, Syed Zahid Husain, Ian B. Strachan, Aude Lemonsu, David Sills, James Voogt, Ľuboš Spaček, Naoko Seino and Chao Ren and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Sylvie Leroyer

26 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvie Leroyer Canada 12 246 215 189 94 57 29 381
T. S. King United States 4 264 1.1× 181 0.8× 273 1.4× 110 1.2× 24 0.4× 4 414
M. А. Lokoshchenko Russia 11 227 0.9× 275 1.3× 237 1.3× 150 1.6× 56 1.0× 40 456
Lu Jiang China 11 348 1.4× 147 0.7× 167 0.9× 166 1.8× 68 1.2× 27 404
Jan Karlický Czechia 13 233 0.9× 299 1.4× 184 1.0× 186 2.0× 29 0.5× 29 436
K. Frans G. Olofson Sweden 5 266 1.1× 147 0.7× 159 0.8× 195 2.1× 83 1.5× 6 401
Joachim Fallmann Germany 10 276 1.1× 174 0.8× 153 0.8× 166 1.8× 70 1.2× 16 403
Yuya Takane Japan 14 494 2.0× 275 1.3× 351 1.9× 190 2.0× 185 3.2× 33 694
Jingjing Dou China 8 354 1.4× 177 0.8× 234 1.2× 171 1.8× 55 1.0× 19 441
Yuanyong Chang China 5 279 1.1× 81 0.4× 166 0.9× 128 1.4× 89 1.6× 6 359
William Morrison United Kingdom 9 318 1.3× 80 0.4× 172 0.9× 125 1.3× 96 1.7× 16 371

Countries citing papers authored by Sylvie Leroyer

Since Specialization
Citations

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

Fields of papers citing papers by Sylvie Leroyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvie Leroyer

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvie Leroyer. A scholar is included among the top collaborators of Sylvie Leroyer 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 Sylvie Leroyer. Sylvie Leroyer 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.
Wang, Liangzhu, et al.. (2025). Urban climate simulation for extreme heat events – A comparison between WRF and GEM. Urban Climate. 63. 102570–102570.
2.
Ashraf, Samaneh, et al.. (2025). Impact of Reduced Anthropogenic Emissions Associated With COVID‐19 Lockdown on PM2.5 Concentration and Canopy Urban Heat Island in Canada. GeoHealth. 9(2). e2023GH000975–e2023GH000975. 1 indexed citations
3.
4.
5.
Mariani, Zen, et al.. (2023). An assessment of Arctic diurnal water‐vapour cycles in Canada's weather forecast model and ERA5. Quarterly Journal of the Royal Meteorological Society. 149(755). 2550–2574. 1 indexed citations
6.
Pausata, Francesco S. R., et al.. (2023). Effect of urban heat island mitigation strategies on precipitation and temperature in Montreal, Canada: Case studies. PLOS Climate. 2(6). e0000196–e0000196. 7 indexed citations
7.
Katal, Ali, et al.. (2022). Outdoor heat stress assessment using an integrated multi-scale numerical weather prediction system: A case study of a heatwave in Montreal. The Science of The Total Environment. 865. 161276–161276. 15 indexed citations
8.
Leroyer, Sylvie, et al.. (2022). Summertime Assessment of an Urban-Scale Numerical Weather Prediction System for Toronto. Atmosphere. 13(7). 1030–1030. 8 indexed citations
9.
Clemens, Kristin K., Lihua Li, James Voogt, et al.. (2021). Evaluating the association between extreme heat and mortality in urban Southwestern Ontario using different temperature data sources. Scientific Reports. 11(1). 8153–8153. 12 indexed citations
10.
Baklanov, Alexander, B. Cárdenas, Tsz-cheung Lee, et al.. (2020). Integrated urban services: Experience from four cities on different continents. Urban Climate. 32. 100610–100610. 26 indexed citations
11.
Ren, Shuzhan, Craig Stroud, Stéphane Bélair, et al.. (2020). Impact of Urbanization on the Predictions of Urban Meteorology and Air Pollutants over Four Major North American Cities. Atmosphere. 11(9). 969–969. 11 indexed citations
12.
Mariani, Zen, et al.. (2018). Evaluation of Modeled Lake Breezes Using an Enhanced Observational Network in Southern Ontario: Case Studies. Journal of Applied Meteorology and Climatology. 57(7). 1511–1534. 7 indexed citations
13.
Qu, Zhipeng, Howard W. Barker, Alexei Korolev, et al.. (2018). Evaluation of a high‐resolution numerical weather prediction model's simulated clouds using observations from CloudSat, GOES‐13 and in situ aircraft. Quarterly Journal of the Royal Meteorological Society. 144(715). 1681–1694. 15 indexed citations
14.
Bélair, Stéphane, et al.. (2017). Role and Impact of the Urban Environment in a Numerical Forecast of an Intense Summertime Precipitation Event over Tokyo. Journal of the Meteorological Society of Japan Ser II. 96A(0). 77–94. 24 indexed citations
15.
Barker, Howard W., Zhipeng Qu, Stéphane Bélair, et al.. (2017). Scaling properties of observed and simulated satellite visible radiances. Journal of Geophysical Research Atmospheres. 122(17). 9413–9429. 14 indexed citations
16.
Leroyer, Sylvie. (2016). Modeling the Urban and Lake-induced Boundary-Layers for the Greater Toronto Area. 1 indexed citations
17.
Carrera, Marco L., et al.. (2016). Influence of Open Water Bodies on the Modeling of Summertime Convection over the Canadian Prairies. Journal of Hydrometeorology. 18(6). 1583–1594. 1 indexed citations
18.
Grimmond, Sue, Humphrey Lean, Alexander Baklanov, et al.. (2015). Urban-scale environmental prediction systems. 3 indexed citations
19.
Leroyer, Sylvie, Stéphane Bélair, Syed Zahid Husain, & Jocelyn Mailhot. (2014). Subkilometer Numerical Weather Prediction in an Urban Coastal Area: A Case Study over the Vancouver Metropolitan Area. Journal of Applied Meteorology and Climatology. 53(6). 1433–1453. 49 indexed citations
20.
Husain, Syed Zahid, Stéphane Bélair, Jocelyn Mailhot, & Sylvie Leroyer. (2013). Improving the Representation of the Nocturnal Near-Neutral Surface Layer in the Urban Environment with a Mesoscale Atmospheric Model. Boundary-Layer Meteorology. 147(3). 525–551. 10 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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