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

Authors

52

  1. HS
    Haipeng Shen

    University of North Carolina at Chapel Hill, United States

    4 publications · 253 citations

    4

    h-index

  2. JZ
    Jianhua Z. Huang

    Texas A&M University, United States

    3 publications · 220 citations

    3

    h-index

  3. DK
    Devon K. Barrow

    Lancaster University, United Kingdom

    2 publications · 88 citations

    2

    h-index

  4. PL
    Pierre L’Ecuyer

    Université de Montréal, Canada

    2 publications · 210 citations

    2

    h-index

  5. MP
    Matthew P J Ashby

    University College London, United Kingdom

    2 publications · 138 citations

    2

    h-index

1–5 of 52

Venues

  1. Journal of Business Research

    JBR · 3 publications · 131 citations

    3

    h-index

  2. Prehospital Emergency Care

    1 publications · 37 citations

    1

    h-index

  3. Policing A Journal of Policy and Practice

    1 publications · 121 citations

    1

    h-index

  4. Health Systems

    1 publications · 20 citations

    1

    h-index

  5. Health Care Management Science

    HCMS · 1 publications · 177 citations

    1

    h-index

1–5