Infrastructure Disruption Modeling

Infrastructure Disruption Modeling is a computational or analytical framework that belongs to the class of infrastructure interdependence models, distinguished by its specific focus on simulating, predicting, and assessing the cascading impacts of failures or shocks across interdependent critical infrastructure systems.

190

Publications

10.5K

Citations

556

Authors

250

Institutions

Publications per year

2017–2026

91

Authors

556

  1. RP
    Raghav Pant

    University of Oxford, United Kingdom

    6 publications · 416 citations

    6

    h-index

  2. JR
    Joost R. Santos

    George Washington University, United States

    6 publications · 968 citations

    6

    h-index

  3. GP
    Gerard P. O'Reilly

    Sandia National Laboratories, United States

    6 publications · 172 citations

    6

    h-index

  4. JW
    Jim W. Hall

    University of Oxford, United Kingdom

    5 publications · 380 citations

    5

    h-index

  5. AM
    Ali Mostafavi

    Texas A&M University, United States

    5 publications · 241 citations

    5

    h-index

1–5 of 556

Venues

  1. Journal of Infrastructure Systems

    18 publications · 1.3K citations

    16

    h-index

  2. Reliability Engineering & System Safety

    12 publications · 666 citations

    12

    h-index

  3. Natural Hazards

    9 publications · 554 citations

    9

    h-index

  4. International Journal of Critical Infrastructures

    IJCIS · 6 publications · 152 citations

    6

    h-index

  5. 6

    h-index

1–5