Forecasting For Decisions

Forecasting for Decisions is a subfield of decision analytics that examines the design, production, evaluation, and use of forecasts explicitly to support and improve decision-making under uncertainty, by tailoring forecasting methods, accuracy measures, and communication to decision-relevant costs, constraints, and organizational contexts.

131

Publications

7.6K

Citations

339

Authors

190

Institutions

Publications per year

2017–2026

42

Authors

339

  1. SA
    Stanley A. Changnon

    Illinois Archaeological Survey, United States

    4 publications · 137 citations

    4

    h-index

  2. HA
    Harold A. Linstone

    Portland State University, United States

    3 publications · 386 citations

    3

    h-index

  3. AB
    Alexander Budzier

    University of Oxford, United Kingdom

    2 publications · 831 citations

    2

    h-index

  4. LS
    Larisa Selyutina

    Petersburg State Transport University, Russia

    2 publications · 39 citations

    2

    h-index

  5. JE
    Jane Ebert

    University of Minnesota, United States

    2 publications · 387 citations

    2

    h-index

1–5 of 339

Venues

  1. International Journal of Forecasting

    7 publications · 588 citations

    7

    h-index

  2. Bulletin of the American Meteorological Society

    BAMS · 5 publications · 174 citations

    5

    h-index

  3. Technological Forecasting and Social Change

    3 publications · 671 citations

    3

    h-index

  4. Long Range Planning

    3 publications · 440 citations

    3

    h-index

  5. Journal of Decision System

    JDS · 2 publications · 80 citations

    2

    h-index

1–5