Incident Data Quality

Incident Data Quality is a metric that assesses the accuracy, completeness, consistency, and timeliness of incident reports within organizational and safety management systems to ensure their reliability and utility for analysis and decision-making.

21

Publications

797

Citations

61

Authors

25

Institutions

Publications per year

2017–2026

4

Authors

61

  1. CZ
    Chengjun Zhan

    Shanghai Jiao Tong University, China

    2 publications · 133 citations

    2

    h-index

  2. MH
    Mohammed Hadi

    Florida International University, United States

    2 publications · 133 citations

    2

    h-index

  3. AG
    Albert Gan

    Florida International University, United States

    2 publications · 133 citations

    2

    h-index

  4. TC
    Tse-Pin Chang

    National Yang Ming Chiao Tung University, Taiwan

    1 publications · 21 citations

    1

    h-index

  5. DG
    Debarati Guha‐Sapir

    UCLouvain, Belgium

    1 publications · 25 citations

    1

    h-index

1–5 of 61

Venues

  1. 2

    h-index

  2. Safety Science

    2 publications · 194 citations

    2

    h-index

  3. 1

    h-index

  4. Journal of Transportation Engineering

    1 publications · 53 citations

    1

    h-index

  5. Homicide Studies

    HS · 1 publications · 35 citations

    1

    h-index

1–5