Rick Saylor

3.6k total citations
70 papers, 2.4k citations indexed

About

Rick Saylor is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Rick Saylor has authored 70 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Atmospheric Science, 38 papers in Global and Planetary Change and 26 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Rick Saylor's work include Atmospheric chemistry and aerosols (49 papers), Air Quality and Health Impacts (26 papers) and Atmospheric aerosols and clouds (22 papers). Rick Saylor is often cited by papers focused on Atmospheric chemistry and aerosols (49 papers), Air Quality and Health Impacts (26 papers) and Atmospheric aerosols and clouds (22 papers). Rick Saylor collaborates with scholars based in United States, China and Italy. Rick Saylor's co-authors include Eric S. Edgerton, Leonard K. Peters, W. L. Chameides, Dan Hansén, Benjamin E. Hartsell, Filippo Giorgi, John J. Jansen, R. A. Zaveri, Gregory R. Carmichael and Xiuji Zhou and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Geophysical Research Atmospheres.

In The Last Decade

Rick Saylor

66 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rick Saylor United States 25 2.0k 1.3k 1.0k 456 235 70 2.4k
Leonard K. Peters United States 21 2.5k 1.3× 1.7k 1.3× 1.2k 1.1× 615 1.3× 192 0.8× 67 3.0k
Youhua Tang United States 37 3.7k 1.9× 2.6k 2.0× 1.8k 1.7× 732 1.6× 346 1.5× 97 4.4k
Chris J. Walcek United States 20 1.8k 0.9× 1.2k 0.9× 774 0.7× 313 0.7× 129 0.5× 30 2.1k
Francis S. Binkowski United States 20 3.2k 1.6× 2.2k 1.7× 1.7k 1.6× 700 1.5× 353 1.5× 45 3.6k
Julius S. Chang United States 22 2.0k 1.0× 1.3k 1.0× 787 0.8× 467 1.0× 192 0.8× 51 2.2k
I. S. A. Isaksen Norway 20 2.0k 1.0× 1.4k 1.1× 778 0.7× 485 1.1× 491 2.1× 32 2.4k
Astrid Kerkweg Germany 22 2.3k 1.2× 1.9k 1.4× 599 0.6× 156 0.3× 85 0.4× 46 2.7k
M. Talat Odman United States 28 1.8k 0.9× 959 0.7× 1.5k 1.5× 723 1.6× 501 2.1× 93 2.4k
Kenneth L. Schere United States 21 2.7k 1.4× 1.3k 1.0× 2.1k 2.0× 890 2.0× 535 2.3× 43 3.2k
D. Anfossi Italy 24 1.1k 0.6× 706 0.5× 366 0.3× 1.2k 2.7× 81 0.3× 117 1.8k

Countries citing papers authored by Rick Saylor

Since Specialization
Citations

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

Fields of papers citing papers by Rick Saylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rick Saylor

This figure shows the co-authorship network connecting the top 25 collaborators of Rick Saylor. A scholar is included among the top collaborators of Rick Saylor 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 Rick Saylor. Rick Saylor 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.
Lee, Temple R., Sandip Pal, Tilden P. Meyers, et al.. (2025). Vertical Structure of Turbulence in the Lower Atmospheric Boundary Layer above a Deciduous Forest in Complex Terrain. Agricultural and Forest Meteorology. 373. 110745–110745.
2.
Saylor, Rick, John T. Walker, Zhiyong Wu, et al.. (2024). Dynamic ammonia exchange within a mixed deciduous forest canopy in the Southern Appalachians. Ecological Modelling. 501. 111007–111007.
3.
Li, Yunyao, Daniel Tong, Siqi Ma, et al.. (2023). Impacts of estimated plume rise on PM 2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev). Atmospheric chemistry and physics. 23(5). 3083–3101. 17 indexed citations
4.
Kochendorfer, John, Howard J. Diamond, Tilden P. Meyers, et al.. (2023). A field evaluation of the SoilVUE10 soil moisture sensor. Vadose Zone Journal. 22(2). 9 indexed citations
5.
Campbell, Patrick, Youhua Tang, Pius Lee, et al.. (2022). Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16. Geoscientific model development. 15(8). 3281–3313. 15 indexed citations
6.
Campbell, Patrick, Daniel Tong, Rick Saylor, et al.. (2022). Pronounced increases in nitrogen emissions and deposition due to the historic 2020 wildfires in the western U.S.. The Science of The Total Environment. 839. 156130–156130. 14 indexed citations
7.
Heuer, Mark, B. B. Hicks, Rick Saylor, et al.. (2021). Atmospheric Ammonia Measurements Over a Coastal Salt Marsh Ecosystem Along the Mid‐Atlantic U.S.. Journal of Geophysical Research Biogeosciences. 126(5). 1 indexed citations
8.
Li, Yunyao, Daniel Tong, Siqi Ma, et al.. (2021). Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record‐Breaking Wildfire Season in the United States. Geophysical Research Letters. 48(21). 54 indexed citations
9.
Campbell, Patrick, Daniel Tong, Youhua Tang, et al.. (2021). Impacts of the COVID-19 economic slowdown on ozone pollution in the U.S.. Atmospheric Environment. 264. 118713–118713. 27 indexed citations
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Lin, Haipeng, Daniel J. Jacob, Elizabeth W. Lundgren, et al.. (2021). Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models. Geoscientific model development. 14(9). 5487–5506. 53 indexed citations
13.
Kim, Hyun Cheol, Soontae Kim, Mark Cohen, et al.. (2021). Quantitative assessment of changes in surface particulate matter concentrations and precursor emissions over China during the COVID-19 pandemic and their implications for Chinese economic activity. Atmospheric chemistry and physics. 21(13). 10065–10080. 14 indexed citations
14.
Zhang, Li, Raffaele Montuoro, S. A. McKeen, et al.. (2021). Development and Evaluation of the Aerosol Forecast Member in NCEP’s Global Ensemble Forecast System (GEFS-Aerosols v1). 3 indexed citations
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Saylor, Rick. (2013). The Atmospheric Chemistry and Canopy Exchange Simulation System (ACCESS): model description and application to a temperate deciduous forest canopy. Atmospheric chemistry and physics. 13(2). 693–715. 12 indexed citations
18.
Stein, Ariel & Rick Saylor. (2012). Sensitivities of sulfate aerosol formation and oxidation pathways on the chemical mechanism employed in simulations. Atmospheric chemistry and physics. 12(18). 8567–8574. 19 indexed citations
19.
Saylor, Rick & Ariel Stein. (2012). Identifying the causes of differences in ozone production from the CB05 and CBMIV chemical mechanisms. Geoscientific model development. 5(1). 257–268. 11 indexed citations
20.
Saylor, Rick. (1989). a Study of Mesoscale Acid Deposition in the Lower Ohio River Valley.. PhDT. 5 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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