R. J. Yokelson

28.0k total citations · 6 hit papers
141 papers, 15.8k citations indexed

About

R. J. Yokelson is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, R. J. Yokelson has authored 141 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Atmospheric Science, 96 papers in Global and Planetary Change and 46 papers in Health, Toxicology and Mutagenesis. Recurrent topics in R. J. Yokelson's work include Atmospheric chemistry and aerosols (128 papers), Fire effects on ecosystems (63 papers) and Atmospheric and Environmental Gas Dynamics (51 papers). R. J. Yokelson is often cited by papers focused on Atmospheric chemistry and aerosols (128 papers), Fire effects on ecosystems (63 papers) and Atmospheric and Environmental Gas Dynamics (51 papers). R. J. Yokelson collaborates with scholars based in United States, Australia and Nepal. R. J. Yokelson's co-authors include Christine Wiedinmyer, S. K. Akagi, Darold E. Ward, David Griffith, T. J. Christian, Thomas Karl, Chelsea E. Stockwell, P. O. Wennberg, I. R. Burling and Patrick R. Veres and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Journal of Geophysical Research Atmospheres.

In The Last Decade

R. J. Yokelson

138 papers receiving 15.5k citations

Hit Papers

Global fire emissions est... 2011 2026 2016 2021 2017 2011 2011 2014 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. J. Yokelson United States 69 12.8k 9.8k 5.7k 1.4k 1.3k 141 15.8k
Jeffrey L. Collett United States 62 10.9k 0.9× 6.5k 0.7× 6.4k 1.1× 2.0k 1.4× 1.1k 0.8× 263 13.1k
C. Warneke United States 71 13.4k 1.0× 6.2k 0.6× 7.1k 1.3× 2.8k 2.0× 1.5k 1.2× 226 16.2k
Christine Wiedinmyer United States 59 12.3k 1.0× 8.9k 0.9× 7.0k 1.2× 2.1k 1.5× 1.1k 0.9× 145 16.2k
J. A. de Gouw United States 86 18.8k 1.5× 8.1k 0.8× 11.5k 2.0× 4.3k 3.1× 2.6k 2.0× 324 23.2k
Thorsten Hoffmann Germany 53 8.4k 0.7× 3.2k 0.3× 5.4k 1.0× 1.4k 1.0× 600 0.5× 223 11.8k
H. Puxbaum Austria 58 8.0k 0.6× 3.2k 0.3× 6.4k 1.1× 1.5k 1.1× 1.5k 1.2× 185 10.6k
Casimiro Pio Portugal 64 8.4k 0.7× 3.3k 0.3× 8.3k 1.5× 2.3k 1.6× 2.2k 1.8× 192 12.3k
Hugh Coe United Kingdom 78 17.5k 1.4× 10.9k 1.1× 10.2k 1.8× 2.5k 1.8× 1.6k 1.2× 332 19.0k
Pingqing Fu China 69 13.6k 1.1× 6.1k 0.6× 11.7k 2.1× 3.2k 2.3× 1.5k 1.2× 430 17.8k
Jeffrey R. Pierce United States 56 8.6k 0.7× 6.1k 0.6× 5.8k 1.0× 1.3k 1.0× 1.0k 0.8× 218 11.1k

Countries citing papers authored by R. J. Yokelson

Since Specialization
Citations

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

Fields of papers citing papers by R. J. Yokelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. J. Yokelson. 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 R. J. Yokelson. The network helps show where R. J. Yokelson may publish in the future.

Co-authorship network of co-authors of R. J. Yokelson

This figure shows the co-authorship network connecting the top 25 collaborators of R. J. Yokelson. A scholar is included among the top collaborators of R. J. Yokelson 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 R. J. Yokelson. R. J. Yokelson 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.
Anderson, L. D., Barbara Dix, Jordan Schnell, et al.. (2023). Analyzing the Impact of Evolving Combustion Conditions on the Composition of Wildfire Emissions Using Satellite Data. Geophysical Research Letters. 50(23). 3 indexed citations
2.
Permar, Wade, Catherine Wielgasz, Xin Chen, et al.. (2023). Assessing formic and acetic acid emissions and chemistry in western U.S. wildfire smoke: implications for atmospheric modeling. Environmental Science Atmospheres. 3(11). 1620–1641. 7 indexed citations
3.
Giordano, Michael R., J. Douglas Goetz, Prakash V. Bhave, et al.. (2022). Pre-monsoon submicron aerosol composition and source contribution in the Kathmandu Valley, Nepal. Environmental Science Atmospheres. 2(5). 978–999. 6 indexed citations
4.
Goetz, J. Douglas, Michael R. Giordano, Chelsea E. Stockwell, et al.. (2022). Aerosol Mass Spectral Profiles from NAMaSTE Field-Sampled South Asian Combustion Sources. ACS Earth and Space Chemistry. 6(11). 2619–2631. 6 indexed citations
5.
Kleinman, L. I., Arthur J. Sedlacek, Kouji Adachi, et al.. (2020). Rapid evolution of aerosol particles and their optical properties downwind of wildfires in the western US. Atmospheric chemistry and physics. 20(21). 13319–13341. 45 indexed citations
6.
Roberts, J. M., Chelsea E. Stockwell, R. J. Yokelson, et al.. (2020). The nitrogen budget of laboratory-simulated western US wildfires during the FIREX 2016 Fire Lab study. Atmospheric chemistry and physics. 20(14). 8807–8826. 41 indexed citations
7.
Saikawa, Eri, Min Zhong, Alexander Avramov, et al.. (2020). Garbage Burning in South Asia: How Important Is It to Regional Air Quality?. Environmental Science & Technology. 54(16). 9928–9938. 39 indexed citations
8.
Ahern, Adam T., Ellis S. Robinson, Daniel S. Tkacik, et al.. (2019). Production of Secondary Organic Aerosol During Aging of Biomass Burning Smoke From Fresh Fuels and Its Relationship to VOC Precursors. Journal of Geophysical Research Atmospheres. 124(6). 3583–3606. 84 indexed citations
9.
Chai, Jiajue, David J. Miller, E. Scheuer, et al.. (2019). Isotopic characterization of nitrogen oxides (NO x ), nitrous acid (HONO), and nitrate ( p NO 3 ) from laboratory biomass burning during FIREX. Atmospheric measurement techniques. 12(12). 6303–6317. 36 indexed citations
10.
Jayarathne, Thilina, Chelsea E. Stockwell, Kaitlyn Daugherty, et al.. (2018). Chemical characterization of fine particulate matter emitted by peat fires in Central Kalimantan, Indonesia, during the 2015 El Niño. Atmospheric chemistry and physics. 18(4). 2585–2600. 78 indexed citations
11.
Jayarathne, Thilina, Chelsea E. Stockwell, Prakash V. Bhave, et al.. (2018). Nepal Ambient Monitoring and Source Testing Experiment (NAMaSTE): emissions of particulate matter from wood- and dung-fueled cooking fires, garbage and crop residue burning, brick kilns, and other sources. Atmospheric chemistry and physics. 18(3). 2259–2286. 114 indexed citations
12.
Stockwell, Chelsea E., Agnieszka Kupc, Bartłomiej Witkowski, et al.. (2018). Characterization of a catalyst-based total nitrogen and carbon conversion technique to calibrate particle mass measurement instrumentation. Biogeosciences (European Geosciences Union). 2 indexed citations
13.
Koss, Abigail R., Kanako Sekimoto, J. B. Gilman, et al.. (2018). Non-methane organic gas emissions from biomass burning: identification, quantification, and emission factors from PTR-ToF during the FIREX 2016 laboratory experiment. Atmospheric chemistry and physics. 18(5). 3299–3319. 248 indexed citations
14.
Stockwell, Chelsea E., Agnieszka Kupc, Bartłomiej Witkowski, et al.. (2018). Characterization of a catalyst-based conversion technique to measure total particulate nitrogen and organic carbon and comparison to a particle mass measurement instrument. Atmospheric measurement techniques. 11(5). 2749–2768. 23 indexed citations
15.
Pokhrel, Rudra P., Eric Beamesderfer, N. L. Wagner, et al.. (2017). Relative importance of black carbon, brown carbon, and absorption enhancement from clear coatings in biomass burning emissions. Atmospheric chemistry and physics. 17(8). 5063–5078. 82 indexed citations
16.
Stone, Elizabeth A., Thilina Jayarathne, Chelsea E. Stockwell, et al.. (2016). Nepal Ambient Monitoring and Source Testing Experiment (NAMaSTE): Emissions of particulate matter from wood and dung cooking fires, brick kilns, generators, trash and crop residue burning. EGU General Assembly Conference Abstracts. 5 indexed citations
17.
Stockwell, Chelsea E., Patrick R. Veres, Jonathan Williams, & R. J. Yokelson. (2015). Characterization of biomass burning emissions from cooking fires, peat, crop residue, and other fuels with high-resolution proton-transfer-reaction time-of-flight mass spectrometry. Atmospheric chemistry and physics. 15(2). 845–865. 249 indexed citations
18.
Alvarado, M. J., C. R. Lonsdale, R. J. Yokelson, et al.. (2015). Investigating the links between ozone and organic aerosol chemistry in a biomass burning plume from a prescribed fire in California chaparral. Atmospheric chemistry and physics. 15(12). 6667–6688. 76 indexed citations
19.
Sullivan, Amy P., Andrew A. May, Taesam Lee, et al.. (2014). Airborne characterization of smoke marker ratios from prescribed burning. Atmospheric chemistry and physics. 14(19). 10535–10545. 44 indexed citations
20.
Carlson, Lisa J., Sherri A. Mason, J. Trentmann, et al.. (2003). Comparison of Biomass Burning Smoke Plume Models. AGUFM. 2003. 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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