Source-receptor Modeling
Source-Receptor Modeling is a computational method that quantifies the causal relationship between emissions from specific pollution sources and their resulting environmental impacts at receptor locations by linking source contributions to observed or predicted pollutant concentrations.
334
Publications
20.6K
Citations
1.4K
Authors
539
Institutions
Publications per year
2017–2026
96
334
1–5 of 334
1.4K
23
h-index
10
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9
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8
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7
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539

Clarkson University
Potsdam, United States
24 h-index
48 publications
5.8K citations
Environmental Protection Agency
Washington, United States
14 h-index
42 publications
1.8K citations
Joint Research Centre
Ispra, Italy
14 h-index
46 publications
6.6K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
57 publications
3K citations
University of Colorado Boulder
Boulder, United States
12 h-index
32 publications
2.2K citations
Desert Research Institute
Reno, United States
11 h-index
32 publications
2.4K citations

Research Triangle Park Foundation
Durham, United States
10 h-index
32 publications
992 citations
Environment and Climate Change Canada
Ottawa, Canada
10 h-index
24 publications
1.4K citations
1–8 of 539
66 publications · 5.1K citations
38
h-index
26 publications · 2.5K citations
23
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17 publications · 1K citations
15
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16 publications · 1.2K citations
15
h-index
11 publications · 623 citations
10
h-index
1–5