The DOI matches its Crossref record.
Risk Modeling, Assessment, And Management
Abstract
Integrates the art and science of risk analysis. Clearly shows how to quantify risk and construct probability in conjunction with real-world decision-making problems, including a host of institutional, organizational, political, and cultural considerations. Presents basic concepts as well as advanced material, avoiding higher mathematics whenever possible. Incorporates numerous examples and case studies to illustrate the analytical methods under discussion. An accompanying web site will offer 200 example problems and case studies.
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Citations
Cited by
Identifying, understanding, and analyzing critical infrastructure interdependencies
(2001) · IEEE Control Systems · doi:10.1109/37.969131 · Cited by 2,851
The Risk Perception Paradox—Implications for Governance and Communication of Natural Hazards
Wachinger, G., Renn, O., Begg, C., & Kuhlicke, C. (2013) · Risk Analysis · doi:10.1111/j.1539-6924.2012.01942.x · Cited by 1,796
Cyber security risk assessment for SCADA and DCS networks
Ralston, P. A. S., Graham, J. H., & Hieb, J. L. (2007) · ISA Transactions · doi:10.1016/j.isatra.2007.04.003 · Cited by 267
An online testing design choice typology towards cheating threat minimisation
Munoz, A., & Mackay, J. (2019) · Journal of University Teaching and Learning Practice · doi:10.53761/1.16.3.5 · Cited by 51
Metadata
- Authors
- Haimes, Y. Y.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
- Published
- 1999-05
- Volume
- 29
- Issue
- 2
- Pages
- 315-315
- ISSN
- 1094-6977 (ISSN-L)
- 1558-2442
- OpenAlex
- W2032398986
- Cited by
- 625
- References
- 0
- FWCI
- 26.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Risk Modeling, Assessment, And Management. https://app.cochat.ai/papers/10.1109/tsmcc.1999.760577
- The paper
- Haimes, Y. Y. (1999). Risk Modeling, Assessment, And Management. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). https://doi.org/10.1109/tsmcc.1999.760577
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.