Bibliometric Forecasting

Bibliometric Forecasting is a technology forecasting methodology that applies quantitative bibliometric analysis of scientific and technical documents (such as publications, citations, and patents) to infer and project future developments in research fields and technological innovation.

1.5K

Publications

94.5K

Citations

4.5K

Authors

1.8K

Institutions

Publications per year

2017–2026

1K

Authors

4.5K

  1. SK
    Satish Kumar

    Malaviya National Institute of Technology Jaipur, India

    13 publications · 3.1K citations

    13

    h-index

  2. JM
    José M. Merigó

    University of Chile, Chile

    12 publications · 2.3K citations

    12

    h-index

  3. AL
    Alan L. Porter

    Georgia Institute of Technology, United States

    9 publications · 776 citations

    9

    h-index

  4. YH
    Yuh‐Shan Ho

    Asia University, Taiwan

    9 publications · 608 citations

    9

    h-index

  5. WG
    Wolfgang Glänzel

    KU Leuven, Belgium

    9 publications · 465 citations

    9

    h-index

1–5 of 4.5K

Venues

  1. Scientometrics

    164 publications · 19.3K citations

    48

    h-index

  2. Sustainability

    64 publications · 4.1K citations

    36

    h-index

  3. Journal of Informetrics

    40 publications · 2.2K citations

    28

    h-index

  4. Technological Forecasting and Social Change

    26 publications · 4.1K citations

    24

    h-index

  5. PLoS ONE

    25 publications · 1.5K citations

    20

    h-index

1–5