Predictive Safety Analytics

Predictive Safety Analytics is a computational methodology that distinguishes itself by leveraging historical and real-time data to identify patterns and forecast potential safety risks or incidents before they occur, within the domain of safety inspections.

59

Publications

3K

Citations

211

Authors

100

Institutions

Publications per year

2017–2026

43

Authors

211

  1. AA
    Anuoluwapo Ajayi

    University of the West of England, United Kingdom

    3 publications · 114 citations

    3

    h-index

  2. LO
    Lukumon O. Oyedele

    University of the West of England, United Kingdom

    3 publications · 114 citations

    3

    h-index

  3. PA
    Priyanka Alluri

    Florida International University, United States

    2 publications · 115 citations

    2

    h-index

  4. JM
    Juan Manuel Dávila Delgado

    University of the West of England, United Kingdom

    2 publications · 94 citations

    2

    h-index

  5. KT
    Kazim Topuz

    University of Tulsa, United States

    2 publications · 136 citations

    2

    h-index

1–5 of 211

Venues

  1. Accident Analysis & Prevention

    7 publications · 568 citations

    7

    h-index

  2. Safety Science

    4 publications · 159 citations

    4

    h-index

  3. Process Safety and Environmental Protection

    2 publications · 98 citations

    2

    h-index

  4. Automation in Construction

    2 publications · 375 citations

    2

    h-index

  5. 2

    h-index

1–5