Physical Exposure Modeling

Physical Exposure Modeling is a computational method that quantifies the spatial and temporal distribution of populations, assets, or ecosystems exposed to physical hazards by integrating geospatial data, environmental variables, and exposure pathways within a structured analytical framework.

32

Publications

1.2K

Citations

126

Authors

66

Institutions

Publications per year

2017–2026

11

Authors

126

  1. JK
    Jay Kapellusch

    University of Wisconsin–Milwaukee, United States

    4 publications · 191 citations

    4

    h-index

  2. AG
    Arun Garg

    University of Wisconsin–Milwaukee, United States

    4 publications · 191 citations

    4

    h-index

  3. YJ
    Yunxiang Jin

    Institute of Agricultural Resources and Regional Planning, China

    1 publications · 29 citations

    1

    h-index

  4. MT
    Maria Tchong-French

    University of Washington, United States

    1 publications · 14 citations

    1

    h-index

  5. WS
    William S. Marras

    The Ohio State University, United States

    1 publications · 77 citations

    1

    h-index

1–5 of 126

Venues

  1. Risk Analysis

    2 publications · 72 citations

    2

    h-index

  2. Journal of Exposure Science & Environmental Epidemiology

    JESEE · 2 publications · 115 citations

    2

    h-index

  3. Ergonomics

    2 publications · 144 citations

    2

    h-index

  4. Natural Hazards

    2 publications · 51 citations

    2

    h-index

  5. The Science of The Total Environment

    2 publications · 44 citations

    2

    h-index

1–5