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
Parents
67
Impact of safety climate on hazard recognition and safety risk perception
Bhavana Pandit, Alex Albert, Yashwardhan Patil et al. · Safety Science · 2018 · 190 citations
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78

The University of Queensland
Brisbane, Australia
5 h-index
12 publications
1.5K citations

Zhejiang University
Hangzhou, China
4 h-index
6 publications
267 citations
Ben-Gurion University of the Negev
Beersheba, Israel
4 h-index
12 publications
1.1K citations
Nottingham Trent University
Nottingham, United Kingdom
4 h-index
11 publications
516 citations

University of Nottingham
Nottingham, United Kingdom
3 h-index
8 publications
1.2K citations

Queensland University of Technology
Brisbane, Australia
3 h-index
3 publications
250 citations

Bar-Ilan University
Ramat Gan, Israel
3 h-index
8 publications
828 citations
North Carolina State University
Raleigh, United States
3 h-index
5 publications
598 citations
1–8 of 78
20 publications · 1.6K citations
18
h-index
15 publications · 1.1K citations
15
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3 publications · 646 citations
3
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Repository · 2 publications · 102 citations
2
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2 publications · 376 citations
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1–5