S. P. Urbanski

10.0k total citations · 1 hit paper
69 papers, 5.1k citations indexed

About

S. P. Urbanski is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, S. P. Urbanski has authored 69 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Global and Planetary Change, 42 papers in Atmospheric Science and 11 papers in Health, Toxicology and Mutagenesis. Recurrent topics in S. P. Urbanski's work include Fire effects on ecosystems (45 papers), Atmospheric chemistry and aerosols (39 papers) and Atmospheric and Environmental Gas Dynamics (33 papers). S. P. Urbanski is often cited by papers focused on Fire effects on ecosystems (45 papers), Atmospheric chemistry and aerosols (39 papers) and Atmospheric and Environmental Gas Dynamics (33 papers). S. P. Urbanski collaborates with scholars based in United States, Australia and Ireland. S. P. Urbanski's co-authors include J. William Munger, Steven C. Wofsy, R. J. Yokelson, Wei Min Hao, S. C. Wofsy, David R. Fitzjarrald, Carol Barford, Elizabeth Hammond Pyle, I. R. Burling and David P. Turner and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

S. P. Urbanski

69 papers receiving 4.9k citations

Hit Papers

Factors Controlling Long- and Short-Term Sequestration of... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers

S. P. Urbanski
Darold E. Ward United States
Wei Min Hao United States
David R. Weise United States
Fang Li China
W. J. Massman United States
Peter Hess United States
S. R. Arnold United Kingdom
C. P. Meyer Australia
Gabriele Pfister United States
Darold E. Ward United States
S. P. Urbanski
Citations per year, relative to S. P. Urbanski S. P. Urbanski (= 1×) peers Darold E. Ward

Countries citing papers authored by S. P. Urbanski

Since Specialization
Citations

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

Fields of papers citing papers by S. P. Urbanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. P. Urbanski. 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 S. P. Urbanski. The network helps show where S. P. Urbanski may publish in the future.

Co-authorship network of co-authors of S. P. Urbanski

This figure shows the co-authorship network connecting the top 25 collaborators of S. P. Urbanski. A scholar is included among the top collaborators of S. P. Urbanski 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 S. P. Urbanski. S. P. Urbanski 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.
Jaoui, Mohammed, S. P. Urbanski, Russell Long, & Matthew S. Landis. (2024). Molecular composition and the impact of fuel moisture content on fresh primary organic aerosol emissions during laboratory combustion of ponderosa pine needles. Environmental Chemistry. 20(8). 319–338. 2 indexed citations
2.
Long, Russell, S. P. Urbanski, Emily Lincoln, et al.. (2023). Summary of PM2.5 measurement artifacts associated with the Teledyne T640 PM Mass Monitor under controlled chamber experimental conditions using polydisperse ammonium sulfate aerosols and biomass smoke. Journal of the Air & Waste Management Association. 73(4). 295–312. 6 indexed citations
3.
Whitehill, Andrew, et al.. (2022). Evaluation of Cairpol and Aeroqual Air Sensors in Biomass Burning Plumes. Atmosphere. 13(6). 877–877. 6 indexed citations
4.
Urbanski, S. P., et al.. (2022). Fuel layer specific pollutant emission factors for fire prone forest ecosystems of the western U.S. and Canada. Atmospheric Environment X. 16. 100188–100188. 3 indexed citations
5.
Long, Russell, Andrew Whitehill, S. P. Urbanski, et al.. (2021). Comparison of ozone measurement methods in biomass burning smoke: an evaluation under field and laboratory conditions. Atmospheric measurement techniques. 14(3). 1783–1800. 25 indexed citations
6.
Landis, Matthew S., Russell Long, Jonathan D. Krug, et al.. (2021). The U.S. EPA wildland fire sensor challenge: Performance and evaluation of solver submitted multi-pollutant sensor systems. Atmospheric Environment. 247. 118165–118165. 16 indexed citations
7.
Mallia, Derek V., et al.. (2020). Incorporating a Canopy Parameterization within a Coupled Fire-Atmosphere Model to Improve a Smoke Simulation for a Prescribed Burn. Atmosphere. 11(8). 832–832. 24 indexed citations
8.
Prichard, Susan J., Susan O’Neill, Paige Eagle, et al.. (2020). Wildland fire emission factors in North America: synthesis of existing data, measurement needs and management applications. International Journal of Wildland Fire. 29(2). 132–147. 66 indexed citations
9.
Zhou, Luxi, Kirk R. Baker, Sergey L. Napelenok, et al.. (2018). Modeling crop residue burning experiments to evaluate smoke emissions and plume transport. The Science of The Total Environment. 627. 523–533. 33 indexed citations
10.
Mallia, Derek V., Adam K. Kochanski, S. P. Urbanski, & John C. Lin. (2018). Optimizing Smoke and Plume Rise Modeling Approaches at Local Scales. Atmosphere. 9(5). 166–166. 30 indexed citations
11.
Holder, Amara L., Brian K. Gullett, S. P. Urbanski, et al.. (2017). Emissions from prescribed burning of agricultural fields in the Pacific Northwest. Atmospheric Environment. 166. 22–33. 33 indexed citations
12.
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
13.
Urbanski, S. P.. (2013). Combustion efficiency and emission factors for US wildfires. 2 indexed citations
14.
Akagi, S. K., R. J. Yokelson, I. R. Burling, et al.. (2013). Measurements of reactive trace gases and variable O 3 formation rates in some South Carolina biomass burning plumes. Atmospheric chemistry and physics. 13(3). 1141–1165. 154 indexed citations
15.
Hao, Wei Min, et al.. (2012). Evaluating the accuracy of a MODIS direct broadcast algorithm for mapping burned areas over Russia. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
16.
Craven, J. S., Jonathan Taylor, G. R. McMeeking, et al.. (2012). Evolution of trace gases and particles emitted by a chaparral fire in California. Atmospheric chemistry and physics. 12(3). 1397–1421. 255 indexed citations
17.
Kovalev, Vladimir A., et al.. (2011). Essentials of multiangle data-processing methodology for smoke polluted atmospheres. 520–529. 1 indexed citations
18.
Yokelson, R. J., I. R. Burling, S. P. Urbanski, et al.. (2011). Trace gas and particle emissions from open biomass burning in Mexico. Atmospheric chemistry and physics. 11(14). 6787–6808. 127 indexed citations
19.
Lai, Chun‐Ta, et al.. (2004). Estimating photosynthetic superscript 13C discrimination in terrestrial CO subscript 2 exchange from canopy to regional scales. Global Biogeochemical Cycles. 18(1). 1041. 3 indexed citations
20.
Munger, J. William, S. P. Urbanski, Carol Barford, et al.. (2001). Factors Controlling CO2 Exchange at Harvard Forest on Hourly to Annual Time Scales. AGUFM. 2001. 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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