Cross-impact Matrices

Cross-Impact Matrices is a structured analytical framework used in futures research that distinguishes itself by systematically representing the interdependencies and probabilistic influences among a set of future events or variables within a cross-impact analysis.

39

Publications

2.2K

Citations

106

Authors

68

Institutions

Publications per year

2017–2026

19

Authors

106

  1. SL
    Shaofeng Liu

    University of Plymouth, United Kingdom

    2 publications · 61 citations

    2

    h-index

  2. LF
    Luís F. Alarcón

    Pontificia Universidad Católica de Chile, Chile

    2 publications · 54 citations

    2

    h-index

  3. GZ
    Guoqing Zhao

    University of Plymouth, United Kingdom

    2 publications · 61 citations

    2

    h-index

  4. WW
    Wolfgang Weimer-Jehle

    University of Stuttgart, Germany

    2 publications · 347 citations

    2

    h-index

  5. CL
    Carmen López

    University of Southampton, United Kingdom

    2 publications · 61 citations

    2

    h-index

1–5 of 106

Venues

  1. Technological Forecasting and Social Change

    7 publications · 518 citations

    7

    h-index

  2. Futures

    5 publications · 588 citations

    5

    h-index

  3. Sustainability

    3 publications · 59 citations

    3

    h-index

  4. Journal of Modelling in Management

    3 publications · 95 citations

    3

    h-index

  5. 2

    h-index

1–5