Risk Assessment: Theory, Methods, and Applications

By M. Rausand. 2011

547 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ff184e6edb9105c6056a995d6f97b778462201a6

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Børge Rokseth
2. Jeevith Hegde
3. Ben Green
4. Vivian Lai
5. Hussein Mozannar
6. Angelina Wang
7. Han Liu
8. Zana Buçinca

Citations in the corpus

• Applications of machine learning methods for engineering risk assessment – A review (2020, background): “Similarly, the field of risk assessment lacks the use of standardized terminologies, resulting in varied contextual definitions of risk and safety (Rausand, 2013).”
• The false promise of risk assessments: epistemic reform and the limits of fairness (2020, background): “the likelihood of those risks manifesting, and the consequences of those events [136].”