Matthew Woody

1.1k total citations
15 papers, 664 citations indexed

About

Matthew Woody is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Automotive Engineering. According to data from OpenAlex, Matthew Woody has authored 15 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 12 papers in Atmospheric Science and 8 papers in Automotive Engineering. Recurrent topics in Matthew Woody's work include Air Quality and Health Impacts (14 papers), Atmospheric chemistry and aerosols (12 papers) and Vehicle emissions and performance (8 papers). Matthew Woody is often cited by papers focused on Air Quality and Health Impacts (14 papers), Atmospheric chemistry and aerosols (12 papers) and Vehicle emissions and performance (8 papers). Matthew Woody collaborates with scholars based in United States, Canada and Switzerland. Matthew Woody's co-authors include Saravanan Arunachalam, Kirk R. Baker, Havala O. T. Pye, J. Jason West, J. L. Jiménez, Jonathan I. Levy, Patrick L. Hayes, Bok H. Baek, Shantanu H. Jathar and Allen L. Robinson and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Health Perspectives.

In The Last Decade

Matthew Woody

15 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Woody United States 13 512 428 287 247 142 15 664
Steve Mara United States 11 514 1.0× 177 0.4× 344 1.2× 112 0.5× 256 1.8× 11 610
M. A. Miracolo United States 14 903 1.8× 1.0k 2.4× 393 1.4× 362 1.5× 128 0.9× 15 1.1k
Guanglin Jia China 9 259 0.5× 259 0.6× 114 0.4× 82 0.3× 133 0.9× 23 446
Uarporn Nopmongcol United States 17 443 0.9× 475 1.1× 212 0.7× 193 0.8× 134 0.9× 30 645
Etienne Terrenoire France 10 263 0.5× 244 0.6× 153 0.5× 173 0.7× 98 0.7× 13 448
Kris Hartin United States 7 304 0.6× 64 0.1× 169 0.6× 75 0.3× 115 0.8× 8 357
Ricardo Morales Colombia 14 375 0.7× 318 0.7× 145 0.5× 296 1.2× 156 1.1× 35 646
Xiaowen Yang China 8 281 0.5× 233 0.5× 141 0.5× 113 0.5× 128 0.9× 40 414
Hanna Herich Switzerland 10 615 1.2× 766 1.8× 156 0.5× 396 1.6× 143 1.0× 12 853
Xiaohui Du China 10 201 0.4× 206 0.5× 71 0.2× 114 0.5× 112 0.8× 16 353

Countries citing papers authored by Matthew Woody

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Woody

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Woody

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

All Works

15 of 15 papers shown
1.
Zhang, Xueying, Allan C. Just, Hsiao‐Hsien Leon Hsu, et al.. (2020). A hybrid approach to predict daily NO2 concentrations at city block scale. The Science of The Total Environment. 761. 143279–143279. 15 indexed citations
2.
Baker, Kirk R., Matthew Woody, J. Szykman, et al.. (2018). Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data. The Science of The Total Environment. 637-638. 1137–1149. 40 indexed citations
3.
Arunachalam, Saravanan, et al.. (2017). Dispersion Modeling Guidance for Airports Addressing Local Air Quality Health Concerns. Transportation Research Board eBooks. 4 indexed citations
4.
Jathar, Shantanu H., Matthew Woody, Havala O. T. Pye, Kirk R. Baker, & Allen L. Robinson. (2017). Chemical transport model simulations of organic aerosol in southern California: model evaluation and gasoline and diesel source contributions. Atmospheric chemistry and physics. 17(6). 4305–4318. 52 indexed citations
5.
Murphy, Benjamin N., Matthew Woody, J. L. Jiménez, et al.. (2017). Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning. Atmospheric chemistry and physics. 17(18). 11107–11133. 101 indexed citations
6.
Baker, Kirk R. & Matthew Woody. (2017). Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements. Environmental Science & Technology. 51(7). 3833–3842. 11 indexed citations
7.
Baker, Kirk R., Matthew Woody, Gail Tonnesen, et al.. (2016). Contribution of regional-scale fire events to ozone and PM2.5 air quality estimated by photochemical modeling approaches. Atmospheric Environment. 140. 539–554. 83 indexed citations
8.
Woody, Matthew, Kirk R. Baker, Patrick L. Hayes, et al.. (2016). Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS. Atmospheric chemistry and physics. 16(6). 4081–4100. 76 indexed citations
9.
Arunachalam, Saravanan, et al.. (2016). Estimating State-Specific Contributions to PM 2.5 - and O 3 -Related Health Burden from Residential Combustion and Electricity Generating Unit Emissions in the United States. Environmental Health Perspectives. 125(3). 324–332. 54 indexed citations
10.
Woody, Matthew, Hsi‐Wu Wong, J. Jason West, & Saravanan Arunachalam. (2016). Multiscale predictions of aviation-attributable PM2.5 for U.S. airports modeled using CMAQ with plume-in-grid and an aircraft-specific 1-D emission model. Atmospheric Environment. 147. 384–394. 40 indexed citations
11.
Woody, Matthew, J. Jason West, Shantanu H. Jathar, Allen L. Robinson, & Saravanan Arunachalam. (2015). Estimates of non-traditional secondary organic aerosols from aircraft SVOC and IVOC emissions using CMAQ. Atmospheric chemistry and physics. 15(12). 6929–6942. 30 indexed citations
12.
Rissman, Jeffrey, Saravanan Arunachalam, Matthew Woody, et al.. (2013). A plume-in-grid approach to characterize air quality impacts of aircraft emissions at the Hartsfield–Jackson Atlanta International Airport. Atmospheric chemistry and physics. 13(18). 9285–9302. 32 indexed citations
13.
Woody, Matthew & Saravanan Arunachalam. (2013). Secondary organic aerosol produced from aircraft emissions at the Atlanta Airport: An advanced diagnostic investigation using process analysis. Atmospheric Environment. 79. 101–109. 15 indexed citations
14.
Levy, Jonathan I., Matthew Woody, Bok H. Baek, Uma Shankar, & Saravanan Arunachalam. (2011). Current and Future Particulate‐Matter‐Related Mortality Risks in the United States from Aviation Emissions During Landing and Takeoff. Risk Analysis. 32(2). 237–249. 55 indexed citations
15.
Woody, Matthew, Bok H. Baek, Zachariah Adelman, et al.. (2011). An assessment of Aviation’s contribution to current and future fine particulate matter in the United States. Atmospheric Environment. 45(20). 3424–3433. 56 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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