Risk Data Modeling
Risk Data Modeling is a methodological framework within risk data management that systematically structures and formalizes the representation, relationships, and attributes of risk-related data elements to enable accurate risk analysis, aggregation, and reporting across organizational and regulatory contexts.
31
Publications
893
Citations
103
Authors
56
Institutions
Publications per year
2017–2026
14
Parents
31
Data analysis in risk assessments
G. Apostolakis · Nuclear Engineering and Design · 1982 · 65 citations
1–5 of 31
103
2
h-index
2
h-index
2
h-index
University of Illinois Urbana-Champaign, United States
1 publications · 31 citations
1
h-index
1
h-index
1–5 of 103
56
Jiangxi University of Finance and Economics
Nanchang, China
2 h-index
3 publications
139 citations
Rail Safety and Standards Board (United Kingdom)
London, United Kingdom
1 h-index
1 publications
27 citations
Institute of Information and Communication Technologies
Sofia, Bulgaria
1 h-index
1 publications
11 citations

Zhejiang University
Hangzhou, China
1 h-index
5 publications
85 citations
Erasmus MC
Rotterdam, The Netherlands
1 h-index
1 publications
14 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
65 citations
North China University of Water Resources and Electric Power
Zhengzhou, China
1 h-index
1 publications
17 citations
IMT Mines Albi
Albi, France
1 h-index
4 publications
88 citations
1–8 of 56
3 publications · 151 citations
3
h-index
JP · 1 publications · 152 citations
1
h-index
JAIS · 1 publications · 14 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 27 citations
1
h-index
1–5