Call Volume Forecasting
Call Volume Forecasting is a predictive modeling method within the domain of capacity forecasting that specifically estimates the number of incoming calls over a given time period using historical call data and statistical or machine learning techniques.
24
Publications
1.3K
Citations
52
Authors
34
Institutions
Publications per year
2017–2026
6
Parents
24
1–5 of 24
52
University of North Carolina at Chapel Hill, United States
4 publications · 253 citations
4
h-index
3
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2
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2
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2
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1–5 of 52
34
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
4 publications
253 citations
University College London
London, United Kingdom
3 h-index
3 publications
171 citations
Texas A&M University
College Station, United States
2 h-index
2 publications
210 citations

Coventry University
Coventry, United Kingdom
2 h-index
2 publications
88 citations
University of New Mexico
Albuquerque, United States
2 h-index
5 publications
66 citations
Université de Montréal
Montreal, Canada
2 h-index
5 publications
597 citations
Lancaster University
Lancaster, United Kingdom
2 h-index
2 publications
110 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
1 publications
25 citations
1–8 of 34
JBR · 3 publications · 131 citations
3
h-index
1 publications · 37 citations
1
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1 publications · 121 citations
1
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1 publications · 20 citations
1
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HCMS · 1 publications · 177 citations
1
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1–5