Data-driven Risk Analysis
Data-Driven Risk Analysis is a systematic methodology within the field of risk assessment that distinguishes itself by employing empirical data and quantitative analytics to identify, evaluate, and prioritize risks, as opposed to relying primarily on expert judgment or theoretical assumptions.
88
Publications
4.3K
Citations
314
Authors
180
Institutions
Publications per year
2017–2026
67
Parents
88
Louise Amoore · Theory Culture & Society · 2011 · 366 citations · Full text
Computing, Finance, Visualization +17
Big Data and Predictive Analytics
Nilay D. Shah, Ewout W. Steyerberg, David M. Kent · JAMA · 2018 · 243 citations
Advances in Risk Analysis with Big Data
Tsan‐Ming Choi, James H. Lambert · Risk Analysis · 2017 · 111 citations
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180
University of Maryland, College Park
College Park, United States
4 h-index
11 publications
343 citations
Liverpool John Moores University
Liverpool, United Kingdom
3 h-index
10 publications
502 citations
University of Stavanger
Stavanger, Norway
3 h-index
5 publications
167 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
15 publications
552 citations
Politecnico di Milano
Milan, Italy
3 h-index
4 publications
109 citations
Princeton University
Princeton, United States
2 h-index
4 publications
66 citations

Bangladesh University of Engineering and Technology
Dhaka, Bangladesh
2 h-index
2 publications
184 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
135 citations
1–8 of 180
13 publications · 814 citations
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3 publications · 68 citations
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3 publications · 529 citations
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3 publications · 166 citations
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3 publications · 146 citations
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