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

Authors

1.4K

  1. PK
    Philip K. Hopke

    Clarkson University, United States

    25 publications · 3K citations

    23

    h-index

  2. FD
    Frank Dentener

    Joint Research Centre, Italy

    10 publications · 1.1K citations

    10

    h-index

  3. JG
    John G. Watson

    Desert Research Institute, United States

    9 publications · 777 citations

    9

    h-index

  4. AS
    A. Stohl

    NILU, Norway

    8 publications · 771 citations

    8

    h-index

  5. DK
    Daven K. Henze

    University of Colorado Boulder, United States

    7 publications · 300 citations

    7

    h-index

1–5 of 1.4K

Venues

  1. Atmospheric Environment

    66 publications · 5.1K citations

    38

    h-index

  2. Atmospheric chemistry and physics

    26 publications · 2.5K citations

    23

    h-index

  3. Environmental Science & Technology

    17 publications · 1K citations

    15

    h-index

  4. The Science of The Total Environment

    16 publications · 1.2K citations

    15

    h-index

  5. 10

    h-index

1–5