Adam Reff

2.9k total citations · 1 hit paper
14 papers, 2.0k citations indexed

About

Adam Reff is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Adam Reff has authored 14 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 12 papers in Atmospheric Science and 8 papers in Environmental Engineering. Recurrent topics in Adam Reff's work include Air Quality and Health Impacts (13 papers), Atmospheric chemistry and aerosols (12 papers) and Air Quality Monitoring and Forecasting (7 papers). Adam Reff is often cited by papers focused on Air Quality and Health Impacts (13 papers), Atmospheric chemistry and aerosols (12 papers) and Air Quality Monitoring and Forecasting (7 papers). Adam Reff collaborates with scholars based in United States, United Kingdom and China. Adam Reff's co-authors include Prakash V. Bhave, Shelly I. Eberly, Heather Simon, Barbara J. Turpin, Benjamin B. Wells, Jia Xing, N. H. Frank, Annmarie G. Carlton, Katye E. Altieri and Sybil P. Seitzinger and has published in prestigious journals such as Environmental Science & Technology, Atmospheric Environment and Water Air & Soil Pollution.

In The Last Decade

Adam Reff

14 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Receptor Modeling of Ambient Particulate Matter Data Using Positive Matrix Factorization: Review of Existing Methods

2007 581 citations Adam Reff, Shelly I. Eberly et al. Journal of the Air & Waste Management Association profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Reff United States	12	1.5k	1.4k	571	501	305	14	2.0k
Shili Tian China	21	1.4k 0.9×	1.1k 0.8×	549 1.0×	596 1.2×	194 0.6×	44	2.0k
Shunsuke Nakao United States	23	1.3k 0.9×	1.2k 0.8×	349 0.6×	439 0.9×	256 0.8×	32	1.6k
Ellis S. Robinson United States	27	2.0k 1.3×	1.6k 1.1×	760 1.3×	1.1k 2.1×	355 1.2×	72	2.8k
I. Allegrini Italy	26	1.5k 1.0×	1.2k 0.8×	615 1.1×	628 1.3×	237 0.8×	90	2.3k
Caiqing Yan China	28	2.1k 1.4×	2.0k 1.4×	615 1.1×	702 1.4×	503 1.6×	70	2.7k
Zhuzi Zhao China	27	1.5k 1.0×	1.4k 1.0×	278 0.5×	559 1.1×	220 0.7×	52	1.9k
Robert M. Healy Canada	35	2.0k 1.3×	2.0k 1.4×	748 1.3×	643 1.3×	736 2.4×	74	2.7k
Heather Simon United States	24	1.8k 1.2×	1.5k 1.1×	579 1.0×	684 1.4×	367 1.2×	48	2.2k
Dominik van Pinxteren Germany	33	2.6k 1.7×	1.7k 1.2×	521 0.9×	1.3k 2.6×	218 0.7×	94	3.0k
Jia Xing China	25	2.1k 1.4×	1.8k 1.3×	748 1.3×	898 1.8×	496 1.6×	49	2.8k

Countries citing papers authored by Adam Reff

Since Specialization

Citations

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

Fields of papers citing papers by Adam Reff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Reff

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

All Works

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14 of 14 papers shown

Kelly, James T., Carey Jang, B. Gantt, et al.. (2019). A system for developing and projecting PM2.5 spatial fields to correspond to just meeting national ambient air quality standards. Atmospheric Environment X. 2. 100019–100019. 18 indexed citations

Kelly, James T., Adam Reff, & B. Gantt. (2017). A method to predict PM 2.5 resulting from compliance with national ambient air quality standards. Atmospheric Environment. 162. 1–10. 23 indexed citations

Li, Chi, Randall V. Martin, Aaron van Donkelaar, et al.. (2017). Trends in Chemical Composition of Global and Regional Population-Weighted Fine Particulate Matter Estimated for 25 Years. Environmental Science & Technology. 51(19). 11185–11195. 89 indexed citations

Simon, Heather, Adam Reff, Benjamin B. Wells, Jia Xing, & N. H. Frank. (2014). Ozone Trends Across the United States over a Period of Decreasing NOx and VOC Emissions. Environmental Science & Technology. 49(1). 186–195. 330 indexed citations

Scheffe, Richard D., Jason Lynch, Adam Reff, et al.. (2014). The Aquatic Acidification Index: A New Regulatory Metric Linking Atmospheric and Biogeochemical Models to Assess Potential Aquatic Ecosystem Recovery. Water Air & Soil Pollution. 225(2). 6 indexed citations

Davis, Jeanine M., William M. Cox, Adam Reff, & Pat Dolwick. (2011). A comparison of CMAQ-based and observation-based statistical models relating ozone to meteorological parameters. Atmospheric Environment. 45(20). 3481–3487. 33 indexed citations

Richmond‐Bryant, Jennifer & Adam Reff. (2011). Air pollution retention within a complex of urban street canyons: A two-city comparison. Atmospheric Environment. 49. 24–32. 11 indexed citations

Simon, Heather, Lee Beck, Prakash V. Bhave, et al.. (2010). The development and uses of EPA’s SPECIATE database. Atmospheric Pollution Research. 1(4). 196–206. 132 indexed citations

Reff, Adam, Prakash V. Bhave, Heather Simon, et al.. (2009). Emissions Inventory of PM_2.5 Trace Elements across the United States. Environmental Science & Technology. 43(15). 5790–5796. 216 indexed citations

10.

Tiwary, Abhishek, Adam Reff, & J.J. Colls. (2007). Collection of ambient particulate matter by porous vegetation barriers: Sampling and characterization methods. Journal of Aerosol Science. 39(1). 40–47. 37 indexed citations

11.

Carlton, Annmarie G., Barbara J. Turpin, Katye E. Altieri, et al.. (2007). Atmospheric oxalic acid and SOA production from glyoxal: Results of aqueous photooxidation experiments. Atmospheric Environment. 41(35). 7588–7602. 420 indexed citations

12.

Reff, Adam, Shelly I. Eberly, & Prakash V. Bhave. (2007). Receptor Modeling of Ambient Particulate Matter Data Using Positive Matrix Factorization: Review of Existing Methods. Journal of the Air & Waste Management Association. 57(2). 146–154. 581 indexed citations breakdown →

13.

Reff, Adam, Barbara J. Turpin, John H. Offenberg, et al.. (2007). A functional group characterization of organic PM2.5 exposure: Results from the RIOPA study. Atmospheric Environment. 41(22). 4585–4598. 43 indexed citations

14.

Reff, Adam, Barbara J. Turpin, Robert J. Porcja, et al.. (2005). Functional group characterization of indoor, outdoor, and personal PM2.5: results from RIOPA. Indoor Air. 15(1). 53–61. 43 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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