Michael Davis

817 total citations · 1 hit paper
6 papers, 608 citations indexed

About

Michael Davis is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Automotive Engineering. According to data from OpenAlex, Michael Davis has authored 6 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 4 papers in Environmental Engineering and 3 papers in Automotive Engineering. Recurrent topics in Michael Davis's work include Air Quality and Health Impacts (4 papers), Air Quality Monitoring and Forecasting (4 papers) and Vehicle emissions and performance (3 papers). Michael Davis is often cited by papers focused on Air Quality and Health Impacts (4 papers), Air Quality Monitoring and Forecasting (4 papers) and Vehicle emissions and performance (3 papers). Michael Davis collaborates with scholars based in United States and Ireland. Michael Davis's co-authors include Ronald J. Thomas, J. Harlin, W. Rison, T. Hamlin, Ryan Brown, P. R. Krehbiel, Gayle S. W. Hagler, Ronald Williams, Robert Judge and Motria Caudill and has published in prestigious journals such as Atmospheric Environment, Eos and Atmospheric measurement techniques.

In The Last Decade

Michael Davis

5 papers receiving 581 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
Michael Davis United States	4	398	328	209	201	173	6	608
Louisa J. Kramer United Kingdom	17	524 1.3×	589 1.8×	359 1.7×	666 3.3×	16 0.1×	41	1.1k
D. B. Jadhav India	10	130 0.3×	164 0.5×	262 1.3×	375 1.9×	23 0.1×	33	554
Beatriz Sánchez Spain	15	616 1.5×	485 1.5×	95 0.5×	142 0.7×	19 0.1×	31	802
Debin Su China	8	116 0.3×	221 0.7×	306 1.5×	349 1.7×	128 0.7×	36	527
S. Vaccaro Switzerland	14	168 0.4×	399 1.2×	65 0.3×	278 1.4×	8 0.0×	48	923
Warren B. Johnson United States	11	226 0.6×	206 0.6×	308 1.5×	462 2.3×	26 0.2×	23	688
John J. Jansen United States	10	205 0.5×	662 2.0×	217 1.0×	592 2.9×	4 0.0×	13	857
Benjamin Fasoli United States	12	160 0.4×	200 0.6×	339 1.6×	294 1.5×	11 0.1×	18	494
Luis Ackermann Australia	10	130 0.3×	105 0.3×	166 0.8×	252 1.3×	11 0.1×	20	494
Edgar Vallar Philippines	10	82 0.2×	132 0.4×	124 0.6×	136 0.7×	8 0.0×	47	324

Countries citing papers authored by Michael Davis

Since Specialization

Citations

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

Fields of papers citing papers by Michael Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Davis

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

All Works

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6 of 6 papers shown

1.

Duvall, Rachelle M., Sue Kimbrough, Parikshit Deshmukh, et al.. (2024). Analysis of PM _2.5 , black carbon, and trace metals measurements from the Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS). Journal of the Air & Waste Management Association. 74(8). 581–594.

2.

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

3.

Kimbrough, Sue, Richard Baldauf, Timothy Barzyk, et al.. (2019). The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS): Integration of Low-Cost Sensors and Reference Grade Monitoring in a Complex Metropolitan Area. Part 1: Overview of the Project. Chemosensors. 7(2). 26–26. 14 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.

Krehbiel, P. R., Ronald J. Thomas, W. Rison, et al.. (2000). GPS‐based mapping system reveals lightning inside storms. Eos. 81(3). 21–25. 190 indexed citations

6.

Davis, Michael. (1990). Dietary fibre and post prandial hyperglycaemia. Journal of Small Animal Practice. 31(9). 461–461. 1 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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