Rear Impact Simulation

Rear Impact Simulation is a computational crash simulation model designed to analyze vehicle and occupant responses under rear-end collision conditions, distinguished by its focus on rearward-directed impact dynamics, energy absorption, and associated injury mechanisms in automotive safety assessment.

69

Publications

2K

Citations

186

Authors

62

Institutions

Publications per year

2017–2026

7

Authors

186

  1. DC
    David C. Viano

    General Motors (United States), United States

    6 publications · 105 citations

    6

    h-index

  2. CS
    Chantal S. Parenteau

    Aptiv (United States), United States

    4 publications · 74 citations

    4

    h-index

  3. PC
    Paul C. Ivancic

    Yale University, United States

    4 publications · 93 citations

    4

    h-index

  4. RB
    Roger Burnett

    Ford Motor Company (United States), United States

    3 publications · 60 citations

    3

    h-index

  5. YT
    Yasuhiro Tominaga

    Yale University, United States

    3 publications · 81 citations

    3

    h-index

1–5 of 186

Venues

  1. 14

    h-index

  2. Accident Analysis & Prevention

    7 publications · 265 citations

    7

    h-index

  3. International Journal of Crashworthiness

    4 publications · 68 citations

    4

    h-index

  4. 3

    h-index

  5. Spine

    2 publications · 62 citations

    2

    h-index

1–5