E-waste Forecasting

E-Waste Forecasting is a predictive analytical method that estimates future volumes and trends of electronic waste generation by applying quantitative models to historical data, technological turnover rates, and consumption patterns within specific geographic or demographic contexts.

48

Publications

3.7K

Citations

166

Authors

79

Institutions

Publications per year

2017–2026

29

Variants

E-waste Generation Forecasting

Authors

166

  1. JR
    Joost R. Duflou

    KU Leuven, Belgium

    4 publications · 211 citations

    4

    h-index

  2. JP
    Jef Peeters

    KU Leuven, Belgium

    4 publications · 211 citations

    4

    h-index

  3. WD
    Wim Dewulf

    KU Leuven, Belgium

    3 publications · 171 citations

    3

    h-index

  4. EK
    Elif Kongar

    University of Bridgeport, United States

    2 publications · 155 citations

    2

    h-index

  5. RK
    Ruediger Kuehr

    United Nations University, Germany

    2 publications · 1.1K citations

    2

    h-index

1–5 of 166

Venues

  1. Waste Management

    6 publications · 625 citations

    6

    h-index

  2. Journal of Cleaner Production

    4 publications · 181 citations

    4

    h-index

  3. 3

    h-index

  4. Sustainability

    1 publications · 18 citations

    2

    h-index

  5. Resources Conservation and Recycling

    2 publications · 175 citations

    2

    h-index

1–5