Author Productivity Forecasting

Author Productivity Forecasting is a bibliometric forecasting method that specifically predicts the future scholarly output of individual researchers based on historical publication patterns and indicators of research activity.

8

Publications

358

Citations

17

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

17

  1. MV
    Marco van der Leij

    University of Amsterdam, Netherlands

    1 publications · 117 citations

    1

    h-index

  2. JD
    Joshua D. Schnell

    Thomson Reuters (United States), United States

    1 publications · 30 citations

    1

    h-index

  3. GA
    Gülçin Aydoğdu

    Hitit Üniversitesi, Türkiye

    1 publications · 18 citations

    1

    h-index

  4. DE
    Duane E. Williams

    Thomson Reuters (United States), United States

    1 publications · 30 citations

    1

    h-index

  5. BK
    Brian K. Lawton

    Thomson Reuters (United States), United States

    1 publications · 30 citations

    1

    h-index

1–5 of 17

Venues

  1. Scientometrics

    1 publications · 30 citations

    1

    h-index

  2. Journal of the American Society for Information Science

    JASIS · 1 publications · 91 citations

    1

    h-index

  3. Journalism Quarterly

    1 publications · 39 citations

    1

    h-index

  4. Medicine

    1 publications · 18 citations

    1

    h-index

  5. Publications of the Astronomical Society of the Pacific

    PASP · 1 publications · 14 citations

    1

    h-index

1–5