Ann M. Dillner

2.1k total citations
54 papers, 1.4k citations indexed

About

Ann M. Dillner is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Ann M. Dillner has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Atmospheric Science, 39 papers in Health, Toxicology and Mutagenesis and 30 papers in Environmental Engineering. Recurrent topics in Ann M. Dillner's work include Atmospheric chemistry and aerosols (46 papers), Air Quality and Health Impacts (39 papers) and Air Quality Monitoring and Forecasting (27 papers). Ann M. Dillner is often cited by papers focused on Atmospheric chemistry and aerosols (46 papers), Air Quality and Health Impacts (39 papers) and Air Quality Monitoring and Forecasting (27 papers). Ann M. Dillner collaborates with scholars based in United States, Switzerland and Austria. Ann M. Dillner's co-authors include Satoshi Takahama, Cort Anastasio, Jordan Peccia, Andrew T. Weakley, Jeremy D. Smith, James J. Schauer, Qi Zhang, Lu Yu, Travis C. Ruthenburg and Matteo Reggente and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Ann M. Dillner

52 papers receiving 1.3k citations

Peers

Ann M. Dillner
Theodora Nah United States
Yingge Ma China
Haofei Zhang United States
L. Alonso Spain
Theodora Nah United States
Ann M. Dillner
Citations per year, relative to Ann M. Dillner Ann M. Dillner (= 1×) peers Theodora Nah

Countries citing papers authored by Ann M. Dillner

Since Specialization
Citations

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

Fields of papers citing papers by Ann M. Dillner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann M. Dillner. 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 Ann M. Dillner. The network helps show where Ann M. Dillner may publish in the future.

Co-authorship network of co-authors of Ann M. Dillner

This figure shows the co-authorship network connecting the top 25 collaborators of Ann M. Dillner. A scholar is included among the top collaborators of Ann M. Dillner 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 Ann M. Dillner. Ann M. Dillner 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.
Wexler, Anthony S., et al.. (2025). A novel methodology for assessing the hygroscopicity of aerosol filter samples. Atmospheric measurement techniques. 18(3). 603–618. 1 indexed citations
2.
Schulze, Benjamin C., Gaige Hunter Kerr, John D. Crounse, et al.. (2025). Poorly quantified trends in ammonium nitrate remain critical to understand future urban aerosol control strategies. Science Advances. 11(21). eadt8957–eadt8957.
3.
Wexler, Anthony S., et al.. (2025). Hygroscopicity of Organic Compounds as a Function of Their Physicochemical Properties. ACS ES&T Air. 2(9). 1849–1861.
4.
Dillner, Ann M., Guofeng Shen, Wyatt M. Champion, et al.. (2024). Quantifying functional group compositions of household fuel-burning emissions. Atmospheric measurement techniques. 17(8). 2401–2413. 2 indexed citations
5.
Liu, Fobang, Taekyu Joo, Jenna C. Ditto, et al.. (2023). Oxidized and Unsaturated: Key Organic Aerosol Traits Associated with Cellular Reactive Oxygen Species Production in the Southeastern United States. Environmental Science & Technology. 57(38). 14150–14161. 19 indexed citations
6.
Takahama, Satoshi, et al.. (2022). Fragment ion–functional group relationships in organic aerosols using aerosol mass spectrometry and mid-infrared spectroscopy. Atmospheric measurement techniques. 15(9). 2857–2874. 8 indexed citations
7.
Debus, B., Andrew T. Weakley, Satoshi Takahama, et al.. (2022). Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network. Atmospheric measurement techniques. 15(9). 2685–2702. 7 indexed citations
8.
Dillner, Ann M., et al.. (2021). Estimating mean molecular weight, carbon number, and OM∕OC with mid-infrared spectroscopy in organic particulate matter samples from a monitoring network. Atmospheric measurement techniques. 14(7). 4805–4827. 13 indexed citations
9.
Takahama, Satoshi, et al.. (2021). Characterization of primary and aged wood burning and coal combustion organic aerosols in an environmental chamber and its implications for atmospheric aerosols. Atmospheric chemistry and physics. 21(13). 10273–10293. 23 indexed citations
12.
Jeronimo, Matthew, Andrew T. Weakley, Xiaolu Zhang, et al.. (2020). Analysis of black carbon on filters by image-based reflectance. Atmospheric Environment. 223. 117300–117300. 15 indexed citations
13.
Takahama, Satoshi, Andrew T. Weakley, B. Debus, et al.. (2019). Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States – Part 1: Methods. Atmospheric measurement techniques. 12(10). 5391–5415. 19 indexed citations
14.
Landis, Matthew S., Eric S. Edgerton, Emily M. White, et al.. (2018). The impact of the 2016 Fort McMurray Horse River Wildfire on ambient air pollution levels in the Athabasca Oil Sands Region, Alberta, Canada. The Science of The Total Environment. 618. 1665–1676. 78 indexed citations
15.
Takahama, Satoshi, Ann M. Dillner, Andrew T. Weakley, et al.. (2018). Atmospheric particulate matter characterization by Fourier Transform Infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 indexed citations
16.
Reggente, Matteo, Ann M. Dillner, & Satoshi Takahama. (2018). Analysis of functional groups in atmospheric aerosols by infraredspectroscopy: functional group quantification in US measurementnetworks. Biogeosciences (European Geosciences Union). 2 indexed citations
17.
Kamruzzaman, Mohammed, Satoshi Takahama, & Ann M. Dillner. (2017). Quantification of amine functional groups and their influence on OM/OC in the IMPROVE network. Atmospheric Environment. 172. 124–132. 25 indexed citations
18.
Takahama, Satoshi, et al.. (2016). Analysis of functional groups in atmospheric aerosols by infraredspectroscopy: sparse methods for statistical selection of relevant absorption bands. Atmospheric measurement techniques. 9(7). 3429–3454. 21 indexed citations
19.
Dillner, Ann M. & Satoshi Takahama. (2015). Predicting ambient aerosol thermal–optical reflectance measurements from infrared spectra: elemental carbon. Atmospheric measurement techniques. 8(10). 4013–4023. 21 indexed citations
20.
Ruthenburg, Travis C., Jeremy D. Smith, Lu Yu, et al.. (2014). FT-IR quantification of the carbonyl functional group in aqueous-phase secondary organic aerosol from phenols. Atmospheric Environment. 100. 230–237. 56 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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