Outlier Detection Evaluation

Outlier Detection Evaluation is a methodological framework within outlier detection research that systematically assesses the performance and reliability of outlier identification techniques through standardized metrics and validation strategies.

470

Publications

45.6K

Citations

1.2K

Authors

563

Institutions

Publications per year

2017–2026

147

Authors

1.2K

  1. AZ
    Arthur Zimek

    Ludwig-Maximilians-Universität München, Germany

    10 publications · 2.2K citations

    10

    h-index

  2. JS
    Jörg Sander

    University of Alberta, Canada

    8 publications · 10K citations

    8

    h-index

  3. SP
    Surendra P. Verma

    Universidad Nacional Autónoma de México, Mexico

    7 publications · 399 citations

    7

    h-index

  4. RJ
    Ricardo J. G. B. Campello

    Universidade de São Paulo, Brazil

    6 publications · 918 citations

    6

    h-index

  5. BI
    Boris Iglewicz

    Temple University, United States

    5 publications · 1.4K citations

    5

    h-index

1–5 of 1.2K

Venues

  1. Technometrics

    26 publications · 3K citations

    20

    h-index

  2. 10

    h-index

  3. arXiv (Cornell University)

    Repository · 9 publications · 163 citations

    9

    h-index

  4. 9

    h-index

  5. Expert Systems with Applications

    7 publications · 366 citations

    7

    h-index

1–5