Stochastic Track Models

Stochastic Track Models is a computational modeling framework in radiation physics that, as a member of the class of track structure simulation methods, employs probabilistic algorithms to represent the random nature of energy deposition events at the microscopic level during ionizing radiation interactions with matter.

30

Publications

1.3K

Citations

81

Authors

46

Institutions

Publications per year

2017–2026

10

Authors

81

  1. SM
    Simon M. Pimblott

    University of Notre Dame, United States

    3 publications · 307 citations

    3

    h-index

  2. HG
    H. G. Paretzke

    Federal Office for Radiation Protection, Germany

    3 publications · 111 citations

    3

    h-index

  3. MM
    Mahsa Movaghar

    Iran University of Science and Technology, Iran

    2 publications · 47 citations

    2

    h-index

  4. CF
    Christine Fünfschilling

    Société Nationale des Chemins de Fer Français (France), France

    2 publications · 103 citations

    2

    h-index

  5. CS
    Christian Soize

    Laboratoire Modélisation et Simulation Multi-Echelle, France

    2 publications · 103 citations

    2

    h-index

1–5 of 81

Venues

  1. Probabilistic Engineering Mechanics

    3 publications · 118 citations

    3

    h-index

  2. Vehicle System Dynamics

    3 publications · 75 citations

    3

    h-index

  3. Radiation Research

    2 publications · 60 citations

    2

    h-index

  4. Radiation Protection Dosimetry

    2 publications · 33 citations

    2

    h-index

  5. Structure and Infrastructure Engineering

    2 publications · 47 citations

    2

    h-index

1–5