Churn Analytics

Churn Analytics is a scholarly research contribution that belongs to the class of analytical methods and specifically involves the systematic examination of customer attrition patterns to predict, understand, and mitigate churn within a business or service context.

181

Publications

10.1K

Citations

527

Authors

238

Institutions

Publications per year

2017–2026

91

Authors

527

  1. BB
    Bart Baesens

    KU Leuven, Belgium

    7 publications · 860 citations

    7

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  2. WV
    Wouter Verbeke

    KU Leuven, Belgium

    3 publications · 702 citations

    3

    h-index

  3. AK
    Abbas Keramati

    University of Tehran, Iran

    3 publications · 380 citations

    3

    h-index

  4. RR
    Rajkumar Roy

    Cranfield University, United Kingdom

    2 publications · 404 citations

    2

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  5. GC
    Gerda Claeskens

    KU Leuven, Belgium

    2 publications · 61 citations

    2

    h-index

1–5 of 527

Venues

  1. Expert Systems with Applications

    12 publications · 1.3K citations

    12

    h-index

  2. International Journal of Computer Applications

    5 publications · 199 citations

    5

    h-index

  3. Applied Soft Computing

    4 publications · 566 citations

    4

    h-index

  4. Applied Sciences

    3 publications · 93 citations

    3

    h-index

  5. 3

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1–5