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
Parents
27
Lessons from three years of inspection data (software development)
Ed Weller · IEEE Software · 1993 · 139 citations
1–5 of 27
90
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 90
39
University College London
London, United Kingdom
2 h-index
4 publications
74 citations
Catholic University of America
Washington D.C., United States
1 h-index
1 publications
14 citations
Kumoh National Institute of Technology
Gumi, South Korea
1 h-index
1 publications
14 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
4 publications
100 citations
Fraunhofer Chalmers Research Centre for Industrial Mathematics
Gothenburg, Sweden
1 h-index
1 publications
71 citations
Universitat Politècnica de València
Valencia, Spain
1 h-index
1 publications
12 citations
National Institute of Standards and Technology
Gaithersburg, United States
1 h-index
4 publications
56 citations

The University of Adelaide
Adelaide, Australia
1 h-index
1 publications
12 citations
1–8 of 39
2 publications · 50 citations
2
h-index
1 publications · 10 citations
1
h-index
1 publications · 29 citations
1
h-index
SSCR · 1 publications · 13 citations
1
h-index
1 publications · 57 citations
1
h-index
1–5