Inspection Data Interpretation

Inspection Data Interpretation is the academic concept of a systematic analytical process used to identify, evaluate, and contextualize indications of material degradation in corrosion inspection datasets, distinguishing it from general data analysis by its focused application to assessing corrosion mechanisms, severity, and implications for structural integrity and asset lifecycle management.

27

Publications

788

Citations

90

Authors

39

Institutions

Publications per year

2017–2026

13

Authors

90

  1. FM
    Fernando Moreu

    University of New Mexico, United States

    1 publications · 18 citations

    1

    h-index

  2. DH
    Douglas H. Harris

    Anacapa Sciences (United States), United States

    1 publications · 40 citations

    1

    h-index

  3. LL
    Lars Lindkvist

    Chalmers University of Technology, Sweden

    1 publications · 71 citations

    1

    h-index

  4. JK
    Jessica Kopsic

    Carnegie Mellon University, United States

    1 publications · 24 citations

    1

    h-index

  5. LJ
    Lawrence J. Najjar

    Georgia Institute of Technology, United States

    1 publications · 41 citations

    1

    h-index

1–5 of 90

Venues

  1. 2

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Social Science Computer Review

    SSCR · 1 publications · 13 citations

    1

    h-index

  5. Applied Sciences

    1 publications · 57 citations

    1

    h-index

1–5