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
Parents
48
1–5 of 48
166
4
h-index
4
h-index
3
h-index
2
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2
h-index
1–5 of 166
79
KU Leuven
Leuven, Belgium
4 h-index
17 publications
887 citations
United Nations University
Bonn, Germany
2 h-index
4 publications
574 citations

University of Bridgeport
Bridgeport, United States
2 h-index
4 publications
310 citations
Northeastern University
Boston, United States
2 h-index
2 publications
155 citations
Tsinghua University
Beijing, China
2 h-index
7 publications
296 citations

University of Regina
Regina, Canada
2 h-index
7 publications
220 citations
Yale University
New Haven, United States
1 h-index
1 publications
41 citations
University of Cuenca
Cuenca, Ecuador
1 h-index
1 publications
43 citations
1–8 of 79
6 publications · 625 citations
6
h-index
4 publications · 181 citations
4
h-index
3 publications · 196 citations
3
h-index
1 publications · 18 citations
2
h-index
2 publications · 175 citations
2
h-index
1–5