Computational Risk Management
Computational Risk Management is a quantitative framework within financial risk analysis that employs numerical algorithms and computational techniques to model, measure, and mitigate financial risks under uncertainty.
30
Publications
2.6K
Citations
70
Authors
41
Institutions
Publications per year
2017–2026
8
Parents
30
Managing financial risk in planning under uncertainty
Andres Barbaro, Miguel J. Bagajewicz · AIChE Journal · 2004 · 155 citations
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41
University of Augsburg
Augsburg, Germany
2 h-index
4 publications
50 citations
University of Trás-os-Montes and Alto Douro
Vila Real, Portugal
1 h-index
1 publications
23 citations

Leeds Beckett University
Leeds, United Kingdom
1 h-index
1 publications
23 citations
Northwestern University
Evanston, United States
1 h-index
2 publications
72 citations
Temple College
Temple, United States
1 h-index
3 publications
99 citations
Kalasalingam Academy of Research and Education
Srivilliputhur, India
1 h-index
3 publications
36 citations

Idaho National Laboratory
Idaho Falls, United States
1 h-index
1 publications
22 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
60 citations
1–8 of 41
1 publications · 36 citations
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1 publications · 33 citations
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1 publications · 18 citations
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1 publications · 23 citations
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1 publications · 17 citations
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