Human Error Detection

Human Error Detection is a systematic method within the field of hazard recognition that identifies deviations in human performance from intended or expected behaviors, distinguishing itself by focusing specifically on the identification and classification of errors arising from cognitive, perceptual, or behavioral failures in operational contexts.

720

Publications

40.7K

Citations

2.2K

Authors

874

Institutions

Publications per year

2017–2026

311

Authors

2.2K

  1. BK
    Barry Kirwan

    Eurocontrol, France

    10 publications · 1.6K citations

    10

    h-index

  2. EA
    Emre Akyüz

    Istanbul Technical University, Türkiye

    6 publications · 332 citations

    6

    h-index

  3. NA
    Neville A. Stanton

    University of Southampton, United Kingdom

    5 publications · 350 citations

    6

    h-index

  4. SJ
    Seung Jun Lee

    Ulsan National Institute of Science and Technology, South Korea

    5 publications · 120 citations

    5

    h-index

  5. VA
    Vaibhav Anu

    North Dakota State University, United States

    4 publications · 78 citations

    4

    h-index

1–5 of 2.2K

Venues

  1. Reliability Engineering & System Safety

    37 publications · 2.2K citations

    29

    h-index

  2. Safety Science

    15 publications · 1.2K citations

    15

    h-index

  3. PubMed

    Repository · 14 publications · 372 citations

    12

    h-index

  4. Applied Sciences

    10 publications · 408 citations

    11

    h-index

  5. Applied Ergonomics

    10 publications · 1.5K citations

    10

    h-index

1–5