Forecasting Citation Impact

Forecasting Citation Impact is a bibliometric methodology that predicts the future citation count or influence of a scholarly publication by analyzing early citation patterns, content features, and contextual indicators to distinguish it from mere descriptive or retrospective citation analysis.

65

Publications

4.1K

Citations

194

Authors

123

Institutions

Publications per year

2017–2026

35

Authors

194

  1. TB
    Tim Brody

    University of Southampton, United Kingdom

    3 publications · 428 citations

    3

    h-index

  2. SH
    Stevan Harnad

    University of Southampton, United Kingdom

    3 publications · 428 citations

    3

    h-index

  3. XB
    Xiaomei Bai

    Dalian University of Technology, China

    2 publications · 166 citations

    2

    h-index

  4. BG
    Bingfeng Ge

    National University of Defense Technology, China

    2 publications · 44 citations

    2

    h-index

  5. FZ
    Fuli Zhang

    Anshan Normal University, China

    2 publications · 166 citations

    2

    h-index

1–5 of 194

Venues

  1. Scientometrics

    9 publications · 496 citations

    10

    h-index

  2. Journal of Informetrics

    4 publications · 462 citations

    4

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 44 citations

    4

    h-index

  4. 2

    h-index

  5. Technological Forecasting and Social Change

    2 publications · 153 citations

    2

    h-index

1–5