Cross-impact Simulation

Cross-Impact Simulation is a computational modeling method that belongs to the class of foresight and scenario analysis techniques, distinguished by its explicit representation of dynamic interdependencies among events or variables to simulate how the occurrence of one event probabilistically influences the likelihood of others over time.

28

Publications

832

Citations

85

Authors

54

Institutions

Publications per year

2017–2026

8

Authors

85

  1. GW
    Guang Wu

    University of Udine, Italy

    2 publications · 33 citations

    2

    h-index

  2. GA
    George A. Geistauts

    University of Alaska Anchorage, United States

    1 publications · 11 citations

    1

    h-index

  3. PR
    P. Rambabu

    National Environmental Engineering Research Institute, India

    1 publications · 34 citations

    1

    h-index

  4. BS
    Bartolomeo Sapio

    Fondazione "Ugo Bordoni", Italy

    1 publications · 27 citations

    1

    h-index

  5. SM
    Somayeh Mohammadi Hamidi

    Martin Luther University Halle-Wittenberg, Germany

    1 publications · 22 citations

    1

    h-index

1–5 of 85

Venues

  1. Technological Forecasting and Social Change

    6 publications · 167 citations

    6

    h-index

  2. Futures

    4 publications · 130 citations

    4

    h-index

  3. Sustainability

    2 publications · 48 citations

    2

    h-index

  4. International Journal of Forecasting

    2 publications · 37 citations

    2

    h-index

  5. Fire Safety Science

    1 publications · 12 citations

    1

    h-index

1–5