Human Error Identification

Human Error Identification is a systematic method within cognitive task analysis that distinguishes itself by specifying the processes and conditions under which human operators are likely to commit errors during task performance, thereby enabling the prediction, classification, and mitigation of performance failures in complex systems.

314

Publications

14.3K

Citations

996

Authors

452

Institutions

Publications per year

2017–2026

95

Variants

Hei

Authors

996

  1. NA
    Neville A. Stanton

    University of Southampton, United Kingdom

    9 publications · 564 citations

    9

    h-index

  2. CB
    Chris Baber

    University of Birmingham, United Kingdom

    6 publications · 411 citations

    6

    h-index

  3. BK
    Barry Kirwan

    Eurocontrol, France

    6 publications · 752 citations

    6

    h-index

  4. CH
    Cherri Hobgood

    University of North Carolina at Chapel Hill, United States

    5 publications · 220 citations

    5

    h-index

  5. IM
    Iraj Mohammadfam

    Hamedan University of Medical Sciences, Iran

    3 publications · 61 citations

    3

    h-index

1–5 of 996

Venues

  1. Reliability Engineering & System Safety

    18 publications · 875 citations

    17

    h-index

  2. Safety Science

    12 publications · 782 citations

    12

    h-index

  3. PubMed

    Repository · 12 publications · 301 citations

    11

    h-index

  4. Ergonomics

    9 publications · 793 citations

    9

    h-index

  5. Applied Ergonomics

    7 publications · 851 citations

    7

    h-index

1–5