Spatial Exposure Modeling

Spatial Exposure Modeling is a geostatistical methodological framework that characterizes the geographical distribution of air pollutant concentrations to estimate individual or population-level exposures in epidemiological studies, distinguished by its integration of spatial correlation, environmental covariates, and monitoring data to account for geographic variability in exposure assessment.

645

Publications

42K

Citations

2.6K

Authors

967

Institutions

Publications per year

2017–2026

287

Authors

2.6K

  1. MJ
    Michael Jerrett

    University of California, Berkeley, United States

    25 publications · 5.6K citations

    23

    h-index

  2. JS
    Joel Schwartz

    Harvard University, United States

    14 publications · 1.4K citations

    13

    h-index

  3. LS
    Lianne Sheppard

    University of Washington, United States

    17 publications · 1.3K citations

    13

    h-index

  4. PK
    Petros Koutrakis

    Harvard University, United States

    12 publications · 1K citations

    12

    h-index

  5. BA
    Brent A. Coull

    Harvard University, United States

    12 publications · 1.5K citations

    12

    h-index

1–5 of 2.6K

Venues

  1. Environmental Health Perspectives

    EHP · 44 publications · 3.5K citations

    32

    h-index

  2. Environmental Science & Technology

    38 publications · 5.2K citations

    27

    h-index

  3. Atmospheric Environment

    34 publications · 3K citations

    26

    h-index

  4. The Science of The Total Environment

    28 publications · 1.5K citations

    23

    h-index

  5. Environmental Health

    24 publications · 1.9K citations

    22

    h-index

1–5