R. A. Ellis

667 total citations
7 papers, 416 citations indexed

About

R. A. Ellis is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, R. A. Ellis has authored 7 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 4 papers in Health, Toxicology and Mutagenesis and 4 papers in Global and Planetary Change. Recurrent topics in R. A. Ellis's work include Atmospheric chemistry and aerosols (6 papers), Air Quality and Health Impacts (4 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). R. A. Ellis is often cited by papers focused on Atmospheric chemistry and aerosols (6 papers), Air Quality and Health Impacts (4 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). R. A. Ellis collaborates with scholars based in Canada, United States and Switzerland. R. A. Ellis's co-authors include J. G. Murphy, M. Z. Markovic, Trevor C. VandenBoer, Scott C. Herndon, Elizabeth Pattey, Jason O’Brien, Paul A. Makar, C. Mihele, Gregory R. Wentworth and Alex G. Tevlin and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Atmospheric chemistry and physics and Journal of Geophysical Research Atmospheres.

In The Last Decade

R. A. Ellis

7 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. A. Ellis Canada 7 373 189 166 90 35 7 416
Yoshiko Fukui United States 7 340 0.9× 185 1.0× 108 0.7× 51 0.6× 29 0.8× 7 403
Conny Müller Germany 6 489 1.3× 108 0.6× 324 2.0× 106 1.2× 29 0.8× 6 563
Rebecca M. Harvey United States 8 250 0.7× 222 1.2× 179 1.1× 93 1.0× 18 0.5× 9 387
Hideki Kasukabe Canada 4 583 1.6× 259 1.4× 290 1.7× 45 0.5× 34 1.0× 5 620
B. Heikes United States 5 670 1.8× 350 1.9× 270 1.6× 115 1.3× 32 0.9× 8 711
D. L. Slusher United States 9 627 1.7× 363 1.9× 124 0.7× 52 0.6× 84 2.4× 11 652
E. K. Frinak United States 8 279 0.7× 130 0.7× 108 0.7× 56 0.6× 18 0.5× 8 355
D. Hereid United States 7 304 0.8× 134 0.7× 142 0.9× 68 0.8× 10 0.3× 8 343
Gisèle Krysztofiak France 13 410 1.1× 292 1.5× 129 0.8× 72 0.8× 17 0.5× 25 467
Chang‐Feng Ou‐Yang Taiwan 15 536 1.4× 334 1.8× 311 1.9× 115 1.3× 18 0.5× 45 694

Countries citing papers authored by R. A. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by R. A. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. A. Ellis

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

All Works

7 of 7 papers shown
1.
Murphy, J. G., Alex G. Tevlin, Gregory R. Wentworth, et al.. (2017). Observational constraints on particle acidity using measurements and modelling of particles and gases. Faraday Discussions. 200. 379–395. 78 indexed citations
2.
Kelly, James T., Kirk R. Baker, J. B. Nowak, et al.. (2014). Fine-scale simulation of ammonium and nitrate over the South Coast Air Basin and San Joaquin Valley of California during CalNex-2010. Journal of Geophysical Research Atmospheres. 119(6). 3600–3614. 43 indexed citations
3.
Ellis, R. A., Daniel Jacob, Melissa P. Sulprizio, et al.. (2013). Present and future nitrogen deposition to national parks in the United States: critical load exceedances. Atmospheric chemistry and physics. 13(17). 9083–9095. 86 indexed citations
4.
Liu, Jiumeng, Xiaolu Zhang, Eric T. Parker, et al.. (2012). On the gas‐particle partitioning of soluble organic aerosol in two urban atmospheres with contrasting emissions: 2. Gas and particle phase formic acid. Journal of Geophysical Research Atmospheres. 117(D21). 42 indexed citations
5.
Markovic, M. Z., Katherine Hayden, J. G. Murphy, et al.. (2011). The effect of meteorological and chemical factors on the agreement between observations and predictions of fine aerosol composition in southwestern Ontario during BAQS-Met. Atmospheric chemistry and physics. 11(7). 3195–3210. 8 indexed citations
6.
Ellis, R. A., J. G. Murphy, M. Z. Markovic, et al.. (2011). The influence of gas-particle partitioning and surface-atmosphere exchange on ammonia during BAQS-Met. Atmospheric chemistry and physics. 11(1). 133–145. 79 indexed citations
7.
Ellis, R. A., et al.. (2010). Characterizing a Quantum Cascade Tunable Infrared Laser Differential Absorption Spectrometer (QC-TILDAS) for measurements of atmospheric ammonia. Atmospheric measurement techniques. 3(2). 397–406. 80 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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