Cross-impact Analysis

Cross-Impact Analysis is a systematic forecasting method that belongs to the class of interactive scenario techniques, distinguished by its focus on assessing the interdependencies and mutual influences among discrete events or technological developments to improve the accuracy of future predictions.

87

Publications

4.3K

Citations

198

Authors

115

Institutions

Publications per year

2017–2026

19

Authors

198

  1. MT
    Murray Turoff

    New Jersey Institute of Technology, United States

    5 publications · 429 citations

    5

    h-index

  2. VA
    Víctor A. Bañuls

    Universidad Pablo de Olavide, Spain

    4 publications · 305 citations

    4

    h-index

  3. VS
    Vanessa Schweizer

    University of Waterloo, Canada

    3 publications · 197 citations

    3

    h-index

  4. HC
    Henrik Carlsen

    Stockholm Environment Institute, Sweden

    3 publications · 607 citations

    3

    h-index

  5. WW
    Wolfgang Weimer-Jehle

    University of Stuttgart, Germany

    2 publications · 347 citations

    2

    h-index

1–5 of 198

Venues

  1. Technological Forecasting and Social Change

    21 publications · 1.4K citations

    16

    h-index

  2. Futures

    13 publications · 415 citations

    12

    h-index

  3. Expert Systems with Applications

    3 publications · 117 citations

    3

    h-index

  4. Climatic Change

    2 publications · 143 citations

    2

    h-index

  5. Environmental Modelling & Software

    2 publications · 212 citations

    2

    h-index

1–5