Human Exposure Modeling

Human Exposure Modeling is a computational or mathematical framework that characterizes the magnitude, frequency, duration, and pathways of human contact with environmental stressors by integrating data on environmental media concentrations, human activity patterns, and microenvironmental conditions to estimate individual or population exposure levels.

1.3K

Publications

76.9K

Citations

5.3K

Authors

1.6K

Institutions

Publications per year

2017–2026

407

Authors

5.3K

  1. AC
    Adrian Covaci

    University of Antwerp, Belgium

    15 publications · 2K citations

    15

    h-index

  2. FW
    Frank Wania

    University of Toronto, Canada

    13 publications · 527 citations

    13

    h-index

  3. PJ
    Paul J. Lioy

    Environmental and Occupational Health Sciences Institute, United States

    13 publications · 488 citations

    12

    h-index

  4. EC
    Enda Cummins

    University College Dublin, Ireland

    14 publications · 613 citations

    12

    h-index

  5. SL
    Shaoyou Lu

    Sun Yat-sen University, China

    11 publications · 452 citations

    11

    h-index

1–5 of 5.3K

Venues

  1. The Science of The Total Environment

    81 publications · 4K citations

    40

    h-index

  2. Environmental Science & Technology

    68 publications · 4.4K citations

    39

    h-index

  3. Environment International

    46 publications · 4.9K citations

    35

    h-index

  4. Environmental Health Perspectives

    EHP · 54 publications · 4.2K citations

    29

    h-index

  5. Journal of Exposure Science & Environmental Epidemiology

    JESEE · 43 publications · 6.5K citations

    27

    h-index

1–5