Cindy L. Bruyère

2.1k total citations
47 papers, 1.5k citations indexed

About

Cindy L. Bruyère is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Cindy L. Bruyère has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Atmospheric Science, 37 papers in Global and Planetary Change and 14 papers in Oceanography. Recurrent topics in Cindy L. Bruyère's work include Climate variability and models (37 papers), Tropical and Extratropical Cyclones Research (34 papers) and Meteorological Phenomena and Simulations (25 papers). Cindy L. Bruyère is often cited by papers focused on Climate variability and models (37 papers), Tropical and Extratropical Cyclones Research (34 papers) and Meteorological Phenomena and Simulations (25 papers). Cindy L. Bruyère collaborates with scholars based in United States, South Africa and Norway. Cindy L. Bruyère's co-authors include Greg J. Holland, J. Done, Erin Towler, L. Ruby Leung, Asuka Suzuki-Parker, Priscilla Mooney, Enrique Curchitser, Chelsea Parker, Peter Friis-Hansen and Luca Garrè and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Monthly Weather Review.

In The Last Decade

Cindy L. Bruyère

45 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cindy L. Bruyère United States 21 1.2k 1.2k 349 86 80 47 1.5k
Hylke de Vries Netherlands 24 1.2k 1.0× 1.3k 1.1× 350 1.0× 54 0.6× 76 0.9× 69 1.7k
Acacia Pepler Australia 22 990 0.8× 1.4k 1.2× 255 0.7× 40 0.5× 148 1.9× 67 1.6k
Fumin Ren China 23 1.6k 1.4× 1.8k 1.5× 379 1.1× 46 0.5× 78 1.0× 64 2.0k
Wilhelm May Denmark 20 758 0.6× 918 0.8× 187 0.5× 54 0.6× 111 1.4× 49 1.3k
Cathryn E. Birch United Kingdom 29 1.9k 1.6× 2.1k 1.7× 195 0.6× 67 0.8× 53 0.7× 75 2.4k
Jens Boldingh Debernard Norway 18 1.2k 1.0× 1.3k 1.1× 395 1.1× 24 0.3× 107 1.3× 29 1.7k
Camiel Severijns Netherlands 16 1.1k 0.9× 1.3k 1.1× 394 1.1× 23 0.3× 92 1.1× 24 1.6k
Kevin J. Tory Australia 23 1.2k 1.0× 1.1k 1.0× 557 1.6× 35 0.4× 50 0.6× 58 1.4k
Michael Previdi United States 21 1.7k 1.4× 1.7k 1.4× 351 1.0× 22 0.3× 91 1.1× 46 2.1k
Yukiko Imada Japan 23 1.0k 0.8× 1.3k 1.1× 376 1.1× 38 0.4× 59 0.7× 63 1.5k

Countries citing papers authored by Cindy L. Bruyère

Since Specialization
Citations

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

Fields of papers citing papers by Cindy L. Bruyère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cindy L. Bruyère. 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 Cindy L. Bruyère. The network helps show where Cindy L. Bruyère may publish in the future.

Co-authorship network of co-authors of Cindy L. Bruyère

This figure shows the co-authorship network connecting the top 25 collaborators of Cindy L. Bruyère. A scholar is included among the top collaborators of Cindy L. Bruyère 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 Cindy L. Bruyère. Cindy L. Bruyère 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.
2.
Bruyère, Cindy L., et al.. (2022). Using large climate model ensembles to assess historical and future tropical cyclone activity along the Australian east coast. Weather and Climate Extremes. 38. 100507–100507. 6 indexed citations
3.
Done, J., et al.. (2021). Future Changes in Tropical Cyclone and Easterly Wave Characteristics over Tropical North America. SHILAP Revista de lepidopterología. 2(2). 429–447. 5 indexed citations
4.
Bruyère, Cindy L., Andreas F. Prein, G. J. Holland, et al.. (2020). Severe weather in a changing climate (2nd edition). UCAR/NCAR. 1 indexed citations
5.
Done, J., et al.. (2019). Easterly wave contributions to seasonal rainfall over the tropical Americas in observations and a regional climate model. Climate Dynamics. 54(1-2). 191–209. 38 indexed citations
6.
Huang, Huei‐Ping, et al.. (2018). Simulating Extreme Precipitation in the Lake Champlain Basin using a Regional Climate Model: Limitations and Uncertainties. AGU Fall Meeting Abstracts. 2018.
7.
Curchitser, Enrique, et al.. (2018). Simulating Storm Surge Impacts with a Coupled Atmosphere-Inundation Model with Varying Meteorological Forcing. Journal of Marine Science and Engineering. 6(2). 35–35. 17 indexed citations
8.
Gadian, Alan, Alan Blyth, Cindy L. Bruyère, et al.. (2017). A case study of possible future summer convective precipitation over the UK and Europe from a regional climate projection. International Journal of Climatology. 38(5). 2314–2324. 7 indexed citations
9.
Bruyère, Cindy L., Roy Rasmussen, E. D. Gutmann, et al.. (2017). Impact of Climate Change on Gulf of Mexico Hurricanes. UCAR/NCAR. 20 indexed citations
10.
Hashimoto, Atsushi, J. Done, Laura D. Fowler, & Cindy L. Bruyère. (2015). Tropical cyclone activity in nested regional and global grid-refined simulations. Climate Dynamics. 47(1-2). 497–508. 22 indexed citations
11.
Bruyère, Cindy L., et al.. (2014). Simulation sensitivities of the major weather regimes of the Southeast Asia region. Climate Dynamics. 44(5-6). 1403–1417. 17 indexed citations
12.
Mölders, Nicole, et al.. (2014). Assessment of the 2006-2012 Climatological Fields and Mesoscale Features from Regional Downscaling of CESM Data by WRF-Chem over Southeast Alaska. Atmospheric and Climate Sciences. 4(4). 589–613. 8 indexed citations
13.
Bruyère, Cindy L. & Greg J. Holland. (2014). Exploring Genesis Potential Indices. Offshore Technology Conference. 1 indexed citations
14.
Mooney, Priscilla, et al.. (2013). Comparison of a coupled atmosphere-ocean (WRF-ROMS) model with an atmosphere only model (WRF) of two North Atlantic hurricanes. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
15.
Bruyère, Cindy L., Greg J. Holland, & Erin Towler. (2012). Investigating the Use of a Genesis Potential Index for Tropical Cyclones in the North Atlantic Basin. Journal of Climate. 25(24). 8611–8626. 107 indexed citations
16.
Done, J., Greg J. Holland, Cindy L. Bruyère, L. Ruby Leung, & Asuka Suzuki-Parker. (2012). Modeling high-impact weather and climate: Lessons from a tropical cyclone perspective. UCAR/NCAR. 22 indexed citations
17.
Towler, Erin, et al.. (2012). A Risk-Based Approach to Evaluating Wildlife Demographics for Management in a Changing Climate: A Case Study of the Lewis’s Woodpecker. Environmental Management. 50(6). 1152–1163. 2 indexed citations
18.
Done, J., Greg J. Holland, Cindy L. Bruyère, & Asuka Suzuki-Parker. (2011). Effects of Climate Variability and Change on Gulf of Mexico Tropical Cyclone Activity. Offshore Technology Conference. 3 indexed citations
19.
Bruyère, Cindy L.. (2010). Genesis Potential Index for Tropical Cyclones in the Nested Regional Climate Model (NRCM) Experiments. 1 indexed citations
20.
Leung, L. Ruby, Joseph Tribbia, G. J. Holland, et al.. (2006). Analysis and Evaluation of WRF Tropical Channel Simulations. 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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