Injury Data Standardization

Injury Data Standardization is a methodological framework within population-based injury surveillance that establishes uniform criteria for defining, classifying, and coding injury-related data to ensure consistency, comparability, and validity across diverse data sources and settings.

27

Publications

1.7K

Citations

117

Authors

97

Institutions

Publications per year

2017–2026

4

Authors

117

  1. FB
    Fin Biering‐Sørensen

    Rigshospitalet, Denmark

    4 publications · 429 citations

    4

    h-index

  2. PW
    Peter W. New

    Monash University, Australia

    3 publications · 391 citations

    3

    h-index

  3. MJ
    Michael J. DeVivo

    University of Alabama at Birmingham, United States

    3 publications · 401 citations

    3

    h-index

  4. LC
    Lawrence C. Vogel

    Shriners Hospitals for Children - Chicago, United States

    2 publications · 200 citations

    2

    h-index

  5. VK
    Vanessa K. Noonan

    Praxis Spinal Cord Institute, Canada

    2 publications · 200 citations

    2

    h-index

1–5 of 117

Venues

  1. Spinal Cord

    4 publications · 429 citations

    4

    h-index

  2. Injury Prevention

    3 publications · 412 citations

    3

    h-index

  3. Journal of Neurotrauma

    2 publications · 251 citations

    2

    h-index

  4. JAMA

    2 publications · 92 citations

    2

    h-index

  5. Fire Technology

    1 publications · 15 citations

    1

    h-index

1–5