Ellis S. Robinson

4.2k total citations · 2 hit papers
72 papers, 2.8k citations indexed

About

Ellis S. Robinson is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Ellis S. Robinson has authored 72 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Atmospheric Science, 39 papers in Health, Toxicology and Mutagenesis and 24 papers in Global and Planetary Change. Recurrent topics in Ellis S. Robinson's work include Atmospheric chemistry and aerosols (54 papers), Air Quality and Health Impacts (36 papers) and Atmospheric Ozone and Climate (22 papers). Ellis S. Robinson is often cited by papers focused on Atmospheric chemistry and aerosols (54 papers), Air Quality and Health Impacts (36 papers) and Atmospheric Ozone and Climate (22 papers). Ellis S. Robinson collaborates with scholars based in United States, Switzerland and Greece. Ellis S. Robinson's co-authors include Allen L. Robinson, Neil M. Donahue, Albert A. Presto, Rawad Saleh, Ryan C. Sullivan, Naomi Zimmerman, Qing Ye, Aliaksei Hauryliuk, Joshua S. Apte and B. A. Ridley 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

Ellis S. Robinson

68 papers receiving 2.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Brownness of organics in aerosols from biomass burning linked to their black carbon content

2014 442 citations Rawad Saleh, Ellis S. Robinson et al. profile →
A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring

2018 384 citations Naomi Zimmerman, Albert A. Presto et al. Atmospheric measurement techniques profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ellis S. Robinson United States	27	2.0k	1.6k	1.1k	760	355	72	2.8k
K. Müller Germany	36	2.7k 1.4×	1.8k 1.1×	1.3k 1.3×	591 0.8×	303 0.9×	80	3.1k
I. Allegrini Italy	26	1.5k 0.8×	1.2k 0.7×	628 0.6×	615 0.8×	237 0.7×	90	2.3k
Shankar G. Aggarwal India	26	2.0k 1.0×	1.6k 1.0×	877 0.8×	477 0.6×	242 0.7×	92	2.6k
Quanfu He China	38	2.7k 1.4×	2.2k 1.4×	736 0.7×	622 0.8×	513 1.4×	60	3.1k
Federico Karagulian Italy	17	1.3k 0.7×	1.4k 0.9×	700 0.7×	910 1.2×	459 1.3×	30	2.4k
Satoshi Takahama United States	27	1.9k 1.0×	1.4k 0.8×	657 0.6×	617 0.8×	312 0.9×	80	2.2k
L. K. Sahu India	37	3.1k 1.6×	2.2k 1.4×	1.7k 1.6×	929 1.2×	339 1.0×	120	3.7k
Robert A. Cary United States	15	2.5k 1.3×	2.3k 1.4×	840 0.8×	781 1.0×	835 2.4×	29	3.1k
Roger L. Tanner United States	32	2.2k 1.1×	1.6k 1.0×	725 0.7×	594 0.8×	365 1.0×	92	2.9k
Bernhard Rappenglück United States	37	3.1k 1.5×	1.9k 1.2×	1.3k 1.3×	1.2k 1.5×	490 1.4×	91	3.6k

Countries citing papers authored by Ellis S. Robinson

Since Specialization

Citations

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

Fields of papers citing papers by Ellis S. Robinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ellis S. Robinson

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

All Works

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20 of 20 papers shown

Waring, Michael S., et al.. (2025). Predicting indoor concentrations and chemical composition of outdoor-originated particulate matter with a CONTAM building model. Aerosol Science and Technology. 59(10). 1166–1179.

Yang, Yuhan, Michael A. Battaglia, Ellis S. Robinson, et al.. (2024). Assessing the Oxidative Potential of Outdoor PM_2.5 in Wintertime Fairbanks, Alaska. ACS ES&T Air. 1(3). 175–187. 17 indexed citations

Robinson, Ellis S., Michael A. Battaglia, James Campbell, et al.. (2024). Multi-year, high-time resolution aerosol chemical composition and mass measurements from Fairbanks, Alaska. Environmental Science Atmospheres. 4(6). 685–698. 6 indexed citations

Mao, Jingqiu, Kunal Bali, James Campbell, et al.. (2024). Multiphase sulfur chemistry facilitates particle growth in a cold and dark urban environment. Faraday Discussions. 258(0). 357–374. 1 indexed citations

Campbell, James, Michael A. Battaglia, William R. Simpson, et al.. (2024). Enhanced aqueous formation and neutralization of fine atmospheric particles driven by extreme cold. Science Advances. 10(36). eado4373–eado4373. 11 indexed citations

Fortner, Edward C., Ellis S. Robinson, Tara I. Yacovitch, et al.. (2023). Characterizing metals in particulate pollution in communities at the fenceline of heavy industry: combining mobile monitoring and size-resolved filter measurements. Environmental Science Processes & Impacts. 25(9). 1491–1504. 8 indexed citations

Janssen, Ruud H. H., Colette L. Heald, Allison L. Steiner, et al.. (2021). Drivers of the fungal spore bioaerosol budget: observational analysis and global modeling. Atmospheric chemistry and physics. 21(6). 4381–4401. 14 indexed citations

Shah, Rishabh U., Ellis S. Robinson, Peishi Gu, et al.. (2020). Socio-economic disparities in exposure to urban restaurant emissions are larger than for traffic. Environmental Research Letters. 15(11). 114039–114039. 23 indexed citations

Robinson, Ellis S., Rishabh U. Shah, Kyle P. Messier, et al.. (2019). Land-Use Regression Modeling of Source-Resolved Fine Particulate Matter Components from Mobile Sampling. Environmental Science & Technology. 53(15). 8925–8937. 36 indexed citations

10.

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

11.

Li, Zhongju, Peishi Gu, Qing Ye, et al.. (2019). Spatially dense air pollutant sampling: Implications of spatial variability on the representativeness of stationary air pollutant monitors. Atmospheric Environment X. 2. 100012–100012. 83 indexed citations

12.

Saha, Provat K., Ellis S. Robinson, Rishabh U. Shah, et al.. (2018). Reduced Ultrafine Particle Concentration in Urban Air: Changes in Nucleation and Anthropogenic Emissions. Environmental Science & Technology. 52(12). 6798–6806. 33 indexed citations

13.

Robinson, Ellis S., Peishi Gu, Qing Ye, et al.. (2018). Restaurant Impacts on Outdoor Air Quality: Elevated Organic Aerosol Mass from Restaurant Cooking with Neighborhood-Scale Plume Extents. Environmental Science & Technology. 52(16). 9285–9294. 70 indexed citations

14.

Zimmerman, Naomi, Albert A. Presto, Sriniwasa P. N. Kumar, et al.. (2018). A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring. Atmospheric measurement techniques. 11(1). 291–313. 384 indexed citations breakdown →

15.

Shah, Rishabh U., Ellis S. Robinson, Peishi Gu, et al.. (2018). High spatial resolution mapping of aerosol composition and sourcesin Oakland, California using mobile aerosol mass spectrometry. Biogeosciences (European Geosciences Union). 3 indexed citations

16.

Shah, Rishabh U., Ellis S. Robinson, Peishi Gu, et al.. (2018). High-spatial-resolution mapping and source apportionment of aerosol composition in Oakland, California, using mobile aerosol mass spectrometry. Atmospheric chemistry and physics. 18(22). 16325–16344. 47 indexed citations

17.

Robinson, Ellis S., R. S. Gao, Joshua P. Schwarz, D. W. Fahey, & A. E. Perring. (2017). Fluorescence calibration method for single-particle aerosol fluorescence instruments. Atmospheric measurement techniques. 10(5). 1755–1768. 25 indexed citations

18.

Robinson, Ellis S., T. B. Onasch, Douglas R. Worsnop, & Neil M. Donahue. (2017). Collection efficiency of α -pinene secondary organic aerosol particles explored via light-scattering single-particle aerosol mass spectrometry. Atmospheric measurement techniques. 10(3). 1139–1154. 16 indexed citations

19.

Tkacik, Daniel S., Ellis S. Robinson, Adam T. Ahern, et al.. (2017). A dual‐chamber method for quantifying the effects of atmospheric perturbations on secondary organic aerosol formation from biomass burning emissions. Journal of Geophysical Research Atmospheres. 122(11). 6043–6058. 48 indexed citations

20.

Zimmerman, Naomi, Albert A. Presto, Sriniwasa P. N. Kumar, et al.. (2017). Closing the gap on lower cost air quality monitoring: machine learning calibration models to improve low-cost sensor performance. 27 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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