Exception Classification

Exception Classification is a method within the domain of Change Exception Management that systematically categorizes deviations from established change protocols based on their nature, impact, and root cause to facilitate appropriate resolution and governance.

14

Publications

888

Citations

55

Authors

48

Institutions

Publications per year

2017–2026

4

Authors

55

  1. RJ
    Robert J. Wong

    Alameda Health System, United States

    2 publications · 60 citations

    2

    h-index

  2. PR
    Paul Rees

    Swansea University, United Kingdom

    1 publications · 51 citations

    1

    h-index

  3. MS
    M.A. Skeans

    University of Minnesota, United States

    1 publications · 308 citations

    1

    h-index

  4. LH
    Longcan Hu

    Beijing University of Posts and Telecommunications, China

    1 publications · 32 citations

    1

    h-index

  5. GW
    Galit W. Sassoon

    University of Amsterdam, Netherlands

    1 publications · 249 citations

    1

    h-index

1–5 of 55

Venues

  1. Memory & Cognition

    1 publications · 31 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Sensors

    1 publications · 32 citations

    1

    h-index

  5. Transplantation Direct

    1 publications · 25 citations

    1

    h-index

1–5