Journal Impact Forecasting

Journal Impact Forecasting is a bibliometric forecasting method that predicts the future impact of academic journals by estimating their prospective citation performance based on historical and contextual publication data.

13

Publications

1.4K

Citations

39

Authors

32

Institutions

Publications per year

2017–2026

4

Authors

39

  1. AD
    Anna Dreber

    Stockholm School of Economics, Sweden

    1 publications · 10 citations

    1

    h-index

  2. SH
    Sterett H. Mercer

    University of British Columbia, Canada

    1 publications · 38 citations

    1

    h-index

  3. TP
    Thomas Pfeiffer

    Harvard University, United States

    1 publications · 10 citations

    1

    h-index

  4. RG
    Randy G. Floyd

    University of Memphis, United States

    1 publications · 38 citations

    1

    h-index

  5. MJ
    Magnus Johannesson

    Stockholm School of Economics, Sweden

    1 publications · 10 citations

    1

    h-index

1–5 of 39

Venues

  1. Science

    1 publications · 873 citations

    1

    h-index

  2. Accounting and Finance

    1 publications · 14 citations

    1

    h-index

  3. Scientometrics

    1 publications · 48 citations

    1

    h-index

  4. 1

    h-index

  5. Royal Society Open Science

    1 publications · 10 citations

    1

    h-index

1–5