Ryan Brown

765 total citations · 1 hit paper
7 papers, 517 citations indexed

About

Ryan Brown is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Ryan Brown has authored 7 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 5 papers in Environmental Engineering and 3 papers in Atmospheric Science. Recurrent topics in Ryan Brown's work include Air Quality and Health Impacts (5 papers), Air Quality Monitoring and Forecasting (4 papers) and Atmospheric chemistry and aerosols (3 papers). Ryan Brown is often cited by papers focused on Air Quality and Health Impacts (5 papers), Air Quality Monitoring and Forecasting (4 papers) and Atmospheric chemistry and aerosols (3 papers). Ryan Brown collaborates with scholars based in United States, Ireland and United Kingdom. Ryan Brown's co-authors include Gayle S. W. Hagler, Robert Judge, Michael Davis, Ronald Williams, Motria Caudill, Ken Buckley, Wan Jiao, Ron Williams, J. Elliott Campbell and Richard Baldauf and has published in prestigious journals such as Atmospheric Environment, Atmospheric measurement techniques and Atmospheric Pollution Research.

In The Last Decade

Ryan Brown

7 papers receiving 502 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.

Community Air Sensor Network (CAIRSENSE) project: evaluation of low-costsensor performance in a suburban environment in the southeastern UnitedStates

2016 350 citations Wan Jiao, Gayle S. W. Hagler 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
Ryan Brown United States	6	473	398	180	105	66	7	517
Robert Judge United States	4	398 0.8×	332 0.8×	144 0.8×	84 0.8×	57 0.9×	9	449
Wan Jiao United States	8	393 0.8×	359 0.9×	135 0.8×	102 1.0×	61 0.9×	9	480
Vasileios Papapostolou United States	14	523 1.1×	512 1.3×	218 1.2×	159 1.5×	79 1.2×	26	675
Brandon Feenstra United States	11	486 1.0×	432 1.1×	235 1.3×	102 1.0×	108 1.6×	18	580
Motria Caudill United States	3	339 0.7×	355 0.9×	127 0.7×	64 0.6×	52 0.8×	4	437
Rebecca Tanzer United States	4	374 0.8×	344 0.9×	145 0.8×	77 0.7×	80 1.2×	5	431
Sriniwasa P. N. Kumar United States	3	494 1.0×	361 0.9×	149 0.8×	105 1.0×	80 1.2×	3	545
Borowiak Annette Italy	10	530 1.1×	298 0.7×	283 1.6×	241 2.3×	76 1.2×	24	643
Fenhuan Yang Hong Kong	12	366 0.8×	413 1.0×	189 1.1×	224 2.1×	49 0.7×	14	612
Barbiere Maurizio Italy	5	329 0.7×	238 0.6×	101 0.6×	85 0.8×	66 1.0×	7	397

Countries citing papers authored by Ryan Brown

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Brown

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Williams, Ron, et al.. (2019). Examining spatiotemporal variability of urban particulate matter and application of high-time resolution data from a network of low-cost air pollution sensors. Atmospheric Environment. 213. 579–584. 53 indexed citations

2.

Williams, Ron, et al.. (2018). Long-term evaluation of air sensor technology under ambient conditions in Denver, Colorado. Atmospheric measurement techniques. 11(8). 4605–4615. 75 indexed citations

3.

Steffens, J., Sue Kimbrough, Richard Baldauf, et al.. (2017). Near-port air quality assessment utilizing a mobile measurement approach. Atmospheric Pollution Research. 8(6). 1023–1030. 23 indexed citations

4.

Jiao, Wan, Gayle S. W. Hagler, Ronald Williams, et al.. (2016). Community Air Sensor Network (CAIRSENSE) project: evaluation of low-costsensor performance in a suburban environment in the southeastern UnitedStates. Atmospheric measurement techniques. 9(11). 5281–5292. 350 indexed citations breakdown →

5.

Brown, Ryan. (2011). Evaluation use at Environment Canada. 1 indexed citations

6.

Annette, Borowiak, et al.. (2002). Proceedings of the International Conference on Measuring Air Pollutants by Diffusive Sampling, 26-28 September 2001, Montpellier (F). 9 indexed citations

7.

Brown, Ryan, et al.. (1984). A Personal Sampling Method for the Determination of Nitrous Oxide Exposure. American Industrial Hygiene Association Journal. 45(5). 345–350. 6 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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