Casey D. Bray

429 total citations
10 papers, 275 citations indexed

About

Casey D. Bray is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Casey D. Bray has authored 10 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atmospheric Science, 8 papers in Health, Toxicology and Mutagenesis and 5 papers in Global and Planetary Change. Recurrent topics in Casey D. Bray's work include Atmospheric chemistry and aerosols (9 papers), Air Quality and Health Impacts (8 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Casey D. Bray is often cited by papers focused on Atmospheric chemistry and aerosols (9 papers), Air Quality and Health Impacts (8 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Casey D. Bray collaborates with scholars based in United States. Casey D. Bray's co-authors include William Battye, Viney P. Aneja, Youhua Tang, Daniel Tong, Pius Lee, William H. Schlesinger, J. B. Nowak, Michael D. Hays, M.Y. Menetrez and Heather Simon and has published in prestigious journals such as Atmospheric Environment, Journal of Geophysical Research Atmospheres and Journal of the Air & Waste Management Association.

In The Last Decade

Casey D. Bray

10 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Casey D. Bray United States 8 150 148 130 90 32 10 275
H. Tran United States 12 114 0.8× 208 1.4× 138 1.1× 95 1.1× 24 0.8× 22 310
Roy Wichink Kruit Netherlands 6 84 0.6× 134 0.9× 83 0.6× 61 0.7× 25 0.8× 14 215
C. Dore United Kingdom 6 131 0.9× 183 1.2× 96 0.7× 59 0.7× 44 1.4× 9 260
Huangjian Wu China 11 231 1.5× 297 2.0× 174 1.3× 170 1.9× 37 1.2× 26 418
Huxiong Cui China 6 192 1.3× 249 1.7× 117 0.9× 119 1.3× 34 1.1× 12 347
Marco Giusto Italy 7 99 0.7× 185 1.3× 94 0.7× 78 0.9× 13 0.4× 12 255
Khadak Mahata Nepal 11 265 1.8× 334 2.3× 183 1.4× 113 1.3× 31 1.0× 12 414
Mohan P. George India 12 178 1.2× 166 1.1× 156 1.2× 100 1.1× 28 0.9× 21 343
Hansen Cao United States 12 227 1.5× 316 2.1× 148 1.1× 140 1.6× 48 1.5× 13 390
Laurent Létinois France 8 201 1.3× 252 1.7× 160 1.2× 92 1.0× 50 1.6× 13 344

Countries citing papers authored by Casey D. Bray

Since Specialization
Citations

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

Fields of papers citing papers by Casey D. Bray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey D. Bray. 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 Casey D. Bray. The network helps show where Casey D. Bray may publish in the future.

Co-authorship network of co-authors of Casey D. Bray

This figure shows the co-authorship network connecting the top 25 collaborators of Casey D. Bray. A scholar is included among the top collaborators of Casey D. Bray 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 Casey D. Bray. Casey D. Bray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Bray, Casey D., et al.. (2021). Impact of lockdown during the COVID-19 outbreak on multi-scale air quality. Atmospheric Environment. 254. 118386–118386. 49 indexed citations
2.
Bray, Casey D., William Battye, Viney P. Aneja, & William H. Schlesinger. (2020). Global emissions of NH3, NOx, and N2O from biomass burning and the impact of climate change. Journal of the Air & Waste Management Association. 71(1). 102–114. 27 indexed citations
3.
Bray, Casey D., et al.. (2019). An assessment of important SPECIATE profiles in the EPA emissions modeling platform and current data gaps. Atmospheric Environment. 207. 93–104. 31 indexed citations
4.
Bray, Casey D., William Battye, & Viney P. Aneja. (2019). The role of biomass burning agricultural emissions in the Indo-Gangetic Plains on the air quality in New Delhi, India. Atmospheric Environment. 218. 116983–116983. 50 indexed citations
5.
Battye, William, Casey D. Bray, Viney P. Aneja, et al.. (2019). Evaluating Ammonia (NH3) Predictions in the NOAA NAQFC for Eastern North Carolina Using Ground Level and Satellite Measurements. Journal of Geophysical Research Atmospheres. 124(14). 8242–8259. 7 indexed citations
6.
Bray, Casey D., William Battye, Viney P. Aneja, et al.. (2018). Ammonia emissions from biomass burning in the continental United States. Atmospheric Environment. 187. 50–61. 36 indexed citations
7.
8.
Bray, Casey D., William Battye, Viney P. Aneja, et al.. (2017). Evaluating ammonia (NH3) predictions in the NOAA National Air Quality Forecast Capability (NAQFC) using in-situ aircraft and satellite measurements from the CalNex2010 campaign. Atmospheric Environment. 163. 65–76. 35 indexed citations
9.
10.
Bray, Casey D., William Battye, Viney P. Aneja, et al.. (2016). Impact of Wildfires on Atmospheric Ammonia Concentrations in the US: Coupling Satellite and Ground Based Measurements. B001–B001. 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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