David Fairley

1.3k total citations
36 papers, 1.0k citations indexed

About

David Fairley is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, David Fairley has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 13 papers in Atmospheric Science and 10 papers in Environmental Engineering. Recurrent topics in David Fairley's work include Air Quality and Health Impacts (15 papers), Atmospheric chemistry and aerosols (13 papers) and Air Quality Monitoring and Forecasting (8 papers). David Fairley is often cited by papers focused on Air Quality and Health Impacts (15 papers), Atmospheric chemistry and aerosols (13 papers) and Air Quality Monitoring and Forecasting (8 papers). David Fairley collaborates with scholars based in United States and China. David Fairley's co-authors include Charles L. Blanchard, Neil Maizlish, Bart Ostro, James Woodcock, Dennis K. Pearl, Michael J. Kleeman, Robert A. Harley, David Birkes, Yadolah Dodge and Jeffery A. Aguiar and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Technometrics.

In The Last Decade

David Fairley

35 papers receiving 949 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Fairley United States 15 589 275 232 156 142 36 1.0k
Lucas Henneman United States 18 600 1.0× 277 1.0× 241 1.0× 116 0.7× 65 0.5× 46 913
Katherine Walker United States 15 642 1.1× 208 0.8× 224 1.0× 120 0.8× 36 0.3× 27 979
Arden Pope United States 4 681 1.2× 164 0.6× 224 1.0× 111 0.7× 53 0.4× 7 951
Matthew D. Adams Canada 20 822 1.4× 131 0.5× 459 2.0× 295 1.9× 210 1.5× 55 1.3k
Simone Georges El Khouri Miraglia Brazil 15 436 0.7× 71 0.3× 139 0.6× 112 0.7× 61 0.4× 53 799
Weeberb J. Réquia Brazil 28 1.7k 2.9× 295 1.1× 609 2.6× 469 3.0× 262 1.8× 112 2.6k
Kirsty Smallbone United Kingdom 11 1.1k 1.9× 305 1.1× 612 2.6× 395 2.5× 274 1.9× 19 1.3k
Hélder Relvas Portugal 17 522 0.9× 175 0.6× 269 1.2× 180 1.2× 103 0.7× 38 802
Paul Filliger Switzerland 3 1.1k 1.8× 267 1.0× 362 1.6× 372 2.4× 126 0.9× 7 1.3k
H Sommer Switzerland 3 1.1k 1.9× 272 1.0× 375 1.6× 371 2.4× 124 0.9× 4 1.4k

Countries citing papers authored by David Fairley

Since Specialization
Citations

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

Fields of papers citing papers by David Fairley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Fairley

This figure shows the co-authorship network connecting the top 25 collaborators of David Fairley. A scholar is included among the top collaborators of David Fairley 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 David Fairley. David Fairley 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.
Malig, Brian, David Fairley, Dharshani Pearson, et al.. (2021). Examining fine particulate matter and cause-specific morbidity during the 2017 North San Francisco Bay wildfires. The Science of The Total Environment. 787. 147507–147507. 24 indexed citations
2.
Guha, A., Sally Newman, David Fairley, et al.. (2020). Assessment of Regional Methane Emission Inventories through Airborne Quantification in the San Francisco Bay Area. Environmental Science & Technology. 54(15). 9254–9264. 27 indexed citations
3.
Yu, Xin, et al.. (2019). Regional sources of airborne ultrafine particle number and mass concentrations in California. Atmospheric chemistry and physics. 19(23). 14677–14702. 45 indexed citations
4.
Yoon, Subin, David Fairley, T. E. Barrett, & Rebecca J. Sheesley. (2018). Biomass and fossil fuel combustion contributions to elemental carbon across the San Francisco Bay Area. Atmospheric Environment. 195. 229–242. 14 indexed citations
5.
Guha, A., P. T. Martien, Sally Newman, et al.. (2017). Airborne Quantification of Methane (CH 4 ) Emissions in the San Francisco Bay Area of California. AGUFM. 2017. 1 indexed citations
6.
Kirchstetter, Thomas W., Jeffery A. Aguiar, S. Tonse, David Fairley, & T. Novakov. (2007). Black carbon concentrations and diesel vehicle emission factors derived from coefficient of haze measurements in California: 1967–2003. Atmospheric Environment. 42(3). 480–491. 60 indexed citations
7.
Liang, Jinyou & David Fairley. (2006). Validation of an efficient non-negative matrix factorization method and its preliminary application in Central California. Atmospheric Environment. 40(11). 1991–2001. 4 indexed citations
8.
Blanchard, Charles L. & David Fairley. (2001). Spatial mapping of VOC and NOx-limitation of ozone formation in central California. Atmospheric Environment. 35(22). 3861–3873. 76 indexed citations
9.
Fairley, David. (1999). Daily mortality and air pollution in Santa Clara County, California: 1989-1996.. Environmental Health Perspectives. 107(8). 637–641. 66 indexed citations
10.
Fairley, David. (1999). Daily Mortality and Air Pollution in Santa Clara County, California: 1989-1996. Environmental Health Perspectives. 107(8). 637–637. 7 indexed citations
11.
Lurmann, Frederick, et al.. (1995). 187 Modeling Current and Future Human Exposure to Ozone in the Sao Frandsco Bay Area. Epidemiology. 6(2). S39–S39. 1 indexed citations
12.
Fairley, David. (1994). Alternative Methods of Regression. Technometrics. 36(3). 319–321. 2 indexed citations
13.
Fujita, Eisuke, et al.. (1993). Results from the 1991-92 Pilot Study of Wintertime PM 10 in the San Francisco Bay Area.. 1–15. 4 indexed citations
14.
Fairley, David. (1991). Robust Regression: Analysis and Applications. Technometrics. 33(2). 239–240. 8 indexed citations
15.
Fairley, David. (1990). The relationship of daily mortality to suspended particulates in Santa Clara County, 1980-1986.. Environmental Health Perspectives. 89. 159–168. 164 indexed citations
16.
Fairley, David. (1990). The Relationship of Daily Mortality to Suspended Particulates in Santa Clara County, 1980-1986. Environmental Health Perspectives. 89. 159–159. 34 indexed citations
17.
18.
Stock, M., John B. Downs, John S. McDonald, et al.. (1988). The carbon dioxide rate of rise in awake apneic humans. Journal of Clinical Anesthesia. 1(2). 96–103. 18 indexed citations
19.
Fairley, David, et al.. (1986). A study of oak-pollen production and phenology in northern California: Prediction of annual variation in pollen counts based on geographic and meterologic factors. Journal of Allergy and Clinical Immunology. 78(2). 300–307. 31 indexed citations
20.
Fairley, David & Dennis K. Pearl. (1984). The bahadur efficiency of paired versus joint ranking procedures for pa1rwtse multiple comparisons. Communication in Statistics- Theory and Methods. 13(12). 1471–1481. 5 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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