Ariel Stein

13.0k total citations · 2 hit papers
75 papers, 8.1k citations indexed

About

Ariel Stein is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ariel Stein has authored 75 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Atmospheric Science, 38 papers in Global and Planetary Change and 33 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ariel Stein's work include Atmospheric chemistry and aerosols (54 papers), Air Quality and Health Impacts (33 papers) and Atmospheric and Environmental Gas Dynamics (20 papers). Ariel Stein is often cited by papers focused on Atmospheric chemistry and aerosols (54 papers), Air Quality and Health Impacts (33 papers) and Atmospheric and Environmental Gas Dynamics (20 papers). Ariel Stein collaborates with scholars based in United States, Spain and South Korea. Ariel Stein's co-authors include Glenn D. Rolph, Barbara J. B. Stunder, Roland R. Draxler, Fong Ngan, Mark Cohen, Santiago Gassó, Jesús de la Rosa, Núria Castell, Ana M. Sánchez de la Campa and Tianfeng Chai and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Ariel Stein

72 papers receiving 7.9k citations

Hit Papers

NOAA’s HYSPLIT Atmospheric Transport and Dispersion Model... 2015 2026 2018 2022 2015 2017 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ariel Stein United States 30 6.3k 4.6k 3.3k 1.3k 535 75 8.1k
Barbara J. B. Stunder United States 18 5.6k 0.9× 4.3k 0.9× 2.6k 0.8× 1.0k 0.8× 359 0.7× 33 7.1k
Glenn D. Rolph United States 14 5.2k 0.8× 4.0k 0.9× 2.6k 0.8× 926 0.7× 292 0.5× 22 6.5k
Itsushi Uno Japan 54 8.3k 1.3× 6.1k 1.3× 3.1k 1.0× 1.1k 0.8× 879 1.6× 200 9.3k
Emilio Cuevas Spain 40 5.0k 0.8× 4.2k 0.9× 1.9k 0.6× 568 0.4× 542 1.0× 191 6.6k
Eiko Nemitz United Kingdom 54 5.6k 0.9× 4.0k 0.9× 3.4k 1.0× 1.8k 1.4× 173 0.3× 224 8.4k
Fong Ngan United States 19 4.2k 0.7× 3.1k 0.7× 2.1k 0.6× 830 0.6× 216 0.4× 34 5.2k
R. Arimoto United States 58 7.3k 1.2× 4.3k 0.9× 3.7k 1.1× 933 0.7× 1.4k 2.7× 115 9.5k
M. Flanner United States 43 8.6k 1.4× 7.3k 1.6× 1.5k 0.5× 830 0.6× 472 0.9× 91 10.6k
Joyce M. Harris United States 48 5.5k 0.9× 4.1k 0.9× 1.5k 0.5× 488 0.4× 192 0.4× 118 6.3k
Huizheng Che China 60 9.5k 1.5× 8.3k 1.8× 4.2k 1.3× 2.3k 1.8× 396 0.7× 339 11.5k

Countries citing papers authored by Ariel Stein

Since Specialization
Citations

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

Fields of papers citing papers by Ariel Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariel Stein

This figure shows the co-authorship network connecting the top 25 collaborators of Ariel Stein. A scholar is included among the top collaborators of Ariel Stein 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 Ariel Stein. Ariel Stein 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.
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
3.
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
4.
Kim, Hyun Cheol, Tianfeng Chai, Ariel Stein, & Shobha Kondragunta. (2020). Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations. Atmospheric chemistry and physics. 20(17). 10259–10277. 23 indexed citations
5.
Kim, Hyun Cheol, Changhan Bae, Minah Bae, et al.. (2020). Space-Borne Monitoring of NOx Emissions from Cement Kilns in South Korea. Atmosphere. 11(8). 881–881. 18 indexed citations
7.
Karion, A., Thomas Lauvaux, Israel Lopez‐Coto, et al.. (2019). Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study. Atmospheric chemistry and physics. 19(4). 2561–2576. 30 indexed citations
9.
Rolph, Glenn D., Ariel Stein, & Barbara J. B. Stunder. (2017). Real-time Environmental Applications and Display sYstem: READY. Environmental Modelling & Software. 95. 210–228. 1310 indexed citations breakdown →
10.
Chai, Tianfeng, Alice Crawford, Barbara J. B. Stunder, et al.. (2017). Improving volcanic ash predictions with the HYSPLIT dispersion model by assimilating MODIS satellite retrievals. Atmospheric chemistry and physics. 17(4). 2865–2879. 42 indexed citations
11.
12.
Chai, Tianfeng, Ariel Stein, Fong Ngan, & Roland R. Draxler. (2016). Inverse modeling with HYSPLIT Lagrangian Dispersion Model - Tests and Evaluation using the Cross Appalachian Tracer Experiment (CAPTEX) data. AGUFM. 2016.
13.
Milford, C., R. Fernández-Camacho, Ana M. Sánchez de la Campa, et al.. (2015). Black Carbon aerosol measurements and simulation in two cities in south-west Spain. Atmospheric Environment. 126. 55–65. 9 indexed citations
14.
Stein, Ariel, Roland R. Draxler, Glenn D. Rolph, et al.. (2015). NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System. Bulletin of the American Meteorological Society. 96(12). 2059–2077. 4481 indexed citations breakdown →
16.
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
17.
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
18.
Gassó, Santiago, et al.. (2010). A combined observational and modeling approach to study modern dust transport from the Patagonia desert to East Antarctica. Atmospheric chemistry and physics. 10(17). 8287–8303. 63 indexed citations
19.
Castell, Núria, E. Mantilla, R. Salvador, Ariel Stein, & M. Millán. (2009). Photochemical model evaluation of the surface ozone impact of a power plant in a heavily industrialized area of southwestern Spain. Journal of Environmental Management. 91(3). 662–676. 14 indexed citations
20.
Stein, Ariel & J. C. Wyngaard. (2001). Fluid Modeling and the Evaluation of Inherent Uncertainty. Journal of Applied Meteorology. 40(10). 1769–1774. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026