Hazard Perception Models

Hazard Perception Models is a theoretical or computational framework designed to represent, predict, or evaluate an individual's ability to detect and respond to potential dangers in dynamic environments, particularly through the identification of latent or imminent risk cues in real-time.

67

Publications

4.9K

Citations

191

Authors

78

Institutions

Publications per year

2017–2026

26

Authors

191

  1. DC
    David Crundall

    University of Nottingham, United Kingdom

    7 publications · 587 citations

    7

    h-index

  2. MS
    Mark S. Horswill

    The University of Queensland, Australia

    6 publications · 705 citations

    6

    h-index

  3. AM
    Anat Meir

    Ben-Gurion University of the Negev, Israel

    3 publications · 215 citations

    3

    h-index

  4. TO
    Tal Oron-Gilad

    Ben-Gurion University of the Negev, Israel

    3 publications · 351 citations

    3

    h-index

  5. YP
    Yisrael Parmet

    Ben-Gurion University of the Negev, Israel

    3 publications · 215 citations

    3

    h-index

1–5 of 191

Venues

  1. Accident Analysis & Prevention

    20 publications · 1.6K citations

    18

    h-index

  2. 15

    h-index

  3. Safety Science

    3 publications · 646 citations

    3

    h-index

  4. OpenGrey (Institut de l'Information Scientifique et Technique)

    Repository · 2 publications · 102 citations

    2

    h-index

  5. Risk Analysis

    2 publications · 376 citations

    2

    h-index

1–5