Incident Severity Classification
Incident Severity Classification is a systematic framework that categorizes security or operational incidents according to their potential impact, urgency, and required response resources, distinguishing it from related classification approaches by its focus on quantifying severity levels to inform prioritization and escalation decisions.
36
Publications
1.2K
Citations
143
Authors
71
Institutions
Publications per year
2017–2026
21
Variants
Incident Severity Categorization
36
Christoph Abderhalden, I. Needham, Bernard Miserez et al. · Journal of Psychiatric and Mental Health Nursing · 2004 · 82 citations
Learning from major accidents: A machine learning approach
Nicola Tamascelli, Riccardo Solini, Nicola Paltrinieri et al. · Computers & Chemical Engineering · 2022 · 50 citations · Full text
Computing, Data Science, Data Mining +16
1–5 of 36
143
1
h-index
1
h-index
1
h-index
1
h-index
1 publications · 14 citations
1
h-index
1–5 of 143
71
Norwegian University of Science and Technology
Trondheim, Norway
2 h-index
3 publications
182 citations

Macquarie University
Sydney, Australia
2 h-index
6 publications
312 citations

University of South Australia
Adelaide, Australia
2 h-index
2 publications
104 citations

University of Louisville
Louisville, United States
1 h-index
3 publications
75 citations
University Children's Hospital Zurich
Zurich, Switzerland
1 h-index
6 publications
96 citations
Cardiff University
Cardiff, United Kingdom
1 h-index
3 publications
132 citations

University of Calgary
Calgary, Canada
1 h-index
1 publications
34 citations
Tongji University
Shanghai, China
1 h-index
3 publications
69 citations
1–8 of 71
2 publications · 113 citations
2
h-index
2 publications · 68 citations
2
h-index
ASM · 1 publications · 49 citations
1
h-index
1 publications · 22 citations
1
h-index
Repository · 1 publications · 17 citations
1
h-index
1–5