Forecasting Accuracy Evaluation

Forecasting Accuracy Evaluation is a methodological construct in regional forecasting that quantifies the deviation between predicted and observed outcomes to assess the reliability and precision of forecasting models.

1.5K

Publications

91.8K

Citations

3.4K

Authors

1.4K

Institutions

Publications per year

2017–2026

525

Authors

3.4K

  1. JS
    J. Scott Armstrong

    University of Pennsylvania, United States

    17 publications · 2K citations

    14

    h-index

  2. RF
    Robert Fildes

    Lancaster University, United Kingdom

    13 publications · 1.4K citations

    12

    h-index

  3. SM
    Spyros Makridakis

    INSEAD, France

    11 publications · 3.7K citations

    11

    h-index

  4. SK
    Stephen K. McNees

    Federal Reserve Bank of Boston, United States

    10 publications · 649 citations

    10

    h-index

  5. HO
    H. O. Stekler

    George Washington University, United States

    11 publications · 499 citations

    10

    h-index

1–5 of 3.4K

Venues

  1. International Journal of Forecasting

    83 publications · 12.7K citations

    41

    h-index

  2. Journal of Forecasting

    72 publications · 5.6K citations

    35

    h-index

  3. Energies

    38 publications · 1.7K citations

    27

    h-index

  4. SSRN Electronic Journal

    Repository · 52 publications · 1.8K citations

    24

    h-index

  5. Weather and Forecasting

    28 publications · 3K citations

    20

    h-index

1–5