A. C. Aiken
About
A. C. Aiken is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis.
According to data from OpenAlex, A. C. Aiken has authored 65 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Atmospheric Science, 35 papers in Global and Planetary Change and 31 papers in Health, Toxicology and Mutagenesis. Recurrent topics in A. C. Aiken's work include Atmospheric chemistry and aerosols (59 papers), Atmospheric aerosols and clouds (31 papers) and Air Quality and Health Impacts (30 papers). A. C. Aiken is often cited by papers focused on Atmospheric chemistry and aerosols (59 papers), Atmospheric aerosols and clouds (31 papers) and Air Quality and Health Impacts (30 papers). A. C. Aiken collaborates with scholars based in United States, Switzerland and Canada. A. C. Aiken's co-authors include J. L. Jiménez, P. F. DeCarlo, Kenneth S. Docherty, Joel R. Kimmel, John T. Jayne, Manvendra K. Dubey, A. Trimborn, Katrin Führer, Doug R. Worsnop and M. Gonin and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.
In The Last Decade
A. C. Aiken
63 papers receiving 6.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| A. C. Aiken United States | 31 | 6.2k | 4.4k | 3.1k | 1.0k | 774 | 65 | 6.6k | ||
| S. M. Murphy United States | 35 | 5.5k 0.9× | 3.4k 0.8× | 2.7k 0.9× | 1.1k 1.1× | 521 0.7× | 53 | 6.1k | ||
| A. Trimborn United States | 20 | 4.6k 0.7× | 3.5k 0.8× | 1.9k 0.6× | 1.0k 1.0× | 736 1.0× | 31 | 4.9k | ||
| M. Rami Alfarra United Kingdom | 40 | 8.4k 1.3× | 6.4k 1.5× | 3.7k 1.2× | 1.9k 1.9× | 1.2k 1.5× | 89 | 8.9k | ||
| J. S. Holloway United States | 56 | 7.9k 1.3× | 3.9k 0.9× | 4.7k 1.5× | 1.1k 1.1× | 865 1.1× | 116 | 8.5k | ||
| Douglas A. Day United States | 44 | 5.2k 0.8× | 3.8k 0.9× | 1.9k 0.6× | 1.1k 1.1× | 933 1.2× | 111 | 5.9k | ||
| P. Massoli United States | 37 | 4.5k 0.7× | 2.6k 0.6× | 2.2k 0.7× | 900 0.9× | 638 0.8× | 63 | 4.8k | ||
| Jerome D. Fast United States | 46 | 7.4k 1.2× | 3.0k 0.7× | 5.3k 1.7× | 1.4k 1.4× | 372 0.5× | 166 | 8.1k | ||
| M. J. Cubison United States | 34 | 4.1k 0.7× | 2.4k 0.6× | 2.3k 0.8× | 619 0.6× | 333 0.4× | 51 | 4.3k | ||
| Karsten Baumann United States | 40 | 3.7k 0.6× | 2.2k 0.5× | 1.6k 0.5× | 813 0.8× | 296 0.4× | 69 | 4.1k | ||
| R. A. Zaveri United States | 50 | 7.8k 1.3× | 3.9k 0.9× | 5.2k 1.7× | 975 1.0× | 459 0.6× | 123 | 8.2k |
Countries citing papers authored by A. C. Aiken
Since
Specialization
Citations
This map shows the geographic impact of A. C. Aiken'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 A. C. Aiken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. C. Aiken more than expected).
Fields of papers citing papers by A. C. Aiken
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by A. C. Aiken. 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 A. C. Aiken. The network helps show where A. C. Aiken may publish in the future.
Co-authorship network of co-authors of A. C. Aiken
This figure shows the co-authorship network connecting the top 25 collaborators of A. C. Aiken. A scholar is included among the top collaborators of A. C. Aiken 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 A. C. Aiken. A. C. Aiken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Fierce, Laura, Yan Feng, Nicole Riemer, et al.. (2025). Constraining Black Carbon Aging in Global Models to Reflect Timescales for Internal Mixing. Journal of Advances in Modeling Earth Systems. 17(6).
2.
Thompson, S. A., A. C. Aiken, Rachel C. Huber, Manvendra K. Dubey, & Sarah D. Brooks. (2024). Detonation Soot: A New Class of Ice Nucleating Particle. Journal of Geophysical Research Atmospheres. 129(14).
3.
Lee, James E., Laura-Hélèna Rivellini, Alex K. Y. Lee, et al.. (2024). Chemical properties and single-particle mixing state of soot aerosol in Houston during the TRACER campaign. Atmospheric chemistry and physics. 24(7). 3953–3971.
4.
Gallo, Francesca, Janek Uin, Kevin J. Sanchez, et al.. (2023). Long-range transported continental aerosol in the eastern North Atlantic: three multiday event regimes influence cloud condensation nuclei. Atmospheric chemistry and physics. 23(7). 4221–4246.
5.
Dobracki, Amie, Paquita Zuidema, S. G. Howell, et al.. (2023). An attribution of the low single-scattering albedo of biomass burning aerosol over the southeastern Atlantic. Atmospheric chemistry and physics. 23(8). 4775–4799.
6.
Lee, James E., et al.. (2022). Wildfire Smoke Demonstrates Significant and Predictable Black Carbon Light Absorption Enhancements. Geophysical Research Letters. 49(14).
7.
Shetty, Nishit, et al.. (2022). Correcting for filter-based aerosol light absorption biases at the Atmospheric Radiation Measurement program's Southern Great Plains site using photoacoustic measurements and machine learning. Atmospheric measurement techniques. 15(15). 4569–4583.
8.
Carrico, Christian M., Kyle Gorkowski, James E. Lee, et al.. (2021). Humidified single-scattering albedometer (H-CAPS-PMSSA): Design, data analysis, and validation. Aerosol Science and Technology. 55(7). 749–768.
9.
Gallo, Francesca, Janek Uin, Stephen Springston, et al.. (2020). Identifying a regional aerosol baseline in the eastern North Atlantic using collocated measurements and a mathematical algorithm to mask high-submicron-number-concentration aerosol events. Atmospheric chemistry and physics. 20(12). 7553–7573.
10.
Romonosky, Dian E., et al.. (2019). Optical Properties of Laboratory and Ambient Biomass Burning Aerosols: Elucidating Black, Brown, and Organic Carbon Components and Mixing Regimes. Journal of Geophysical Research Atmospheres. 124(9). 5088–5105.
11.
Chýlek, Petr, James E. Lee, Dian E. Romonosky, et al.. (2019). Mie Scattering Captures Observed Optical Properties of Ambient Biomass Burning Plumes Assuming Uniform Black, Brown, and Organic Carbon Mixtures. Journal of Geophysical Research Atmospheres. 124(21). 11406–11427.
12.
Bhandari, Janarjan, Swarup China, B. Scarnato, et al.. (2019). Optical properties and radiative forcing of fractal-like tar ball aggregates from biomass burning. Journal of Quantitative Spectroscopy and Radiative Transfer. 230. 65–74.
13.
Zuidema, Paquita, Arthur J. Sedlacek, Connor Flynn, et al.. (2018). The Ascension Island Boundary Layer in the Remote Southeast Atlantic is Often Smoky. Geophysical Research Letters. 45(9). 4456–4465.
14.
Zheng, Guangjie, Yang Wang, A. C. Aiken, et al.. (2018). Marine boundary layer aerosol in the eastern North Atlantic: seasonal variations and key controlling processes. Atmospheric chemistry and physics. 18(23). 17615–17635.
15.
Xu, Lu, Leah R. Williams, D. E. Young, et al.. (2016). Wintertime aerosol chemical composition, volatility, and spatial variability in the greater London area. Atmospheric chemistry and physics. 16(2). 1139–1160.
16.
Dubey, Manvendra K., et al.. (2016). Water Uptake and Optical Properties of Biomass Smoke from Southwestern US Fuels: Predicting Properties and Their Variability. AGU Fall Meeting Abstracts. 2016.
17.
DeCarlo, P. F., John D. Crounse, E. J. Dunlea, et al.. (2010). Investigation of the sources and processing of organic aerosol over the Central Mexican Plateau from aircraft measurements during MILAGRO.
18.
Mohr, Claudia, J. A. Huffman, M. J. Cubison, et al.. (2009). Characterization of Primary Organic Aerosol Emissions from Meat Cooking, Trash Burning, and Combustion Engines with High-Resolution Aerosol Mass Spectrometry and Comparison with Ambient and Chamber Observations. EGUGA. 13026.
19.
Aiken, A. C., K. S. Docherty, I. M. Ulbrich, et al.. (2007). Volatility of Primary and Secondary Organic Aerosols in the Field Contradicts Current Model Representations. AGU Fall Meeting Abstracts. 2007.
20.
Huffman, J. A., John T. Jayne, Frank Drewnick, et al.. (2005). Design, Modeling, Optimization, and Experimental Tests of a Particle Beam Width Probe for the Aerodyne Aerosol Mass Spectrometer. Aerosol Science and Technology. 39(12). 1143–1163.
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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