The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Bayesian networks in reliability
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Causal diagrams for empirical research
PEARL, J. (1995) · Biometrika · doi:10.1093/biomet/82.4.669 · Cited by 2,355
Influence Diagrams for Causal Modelling and Inference
Dawid, A. P. (2002) · International Statistical Review · doi:10.1111/j.1751-5823.2002.tb00354.x · Cited by 230
Cited by
Bayesian Networks in Fault Diagnosis
Cai, B., Huang, L., & Xie, M. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2695583 · Cited by 474
Cai, B., Liu, Y., Fan, Q., Zhang, Y., Liu, Z., Yu, S., & Ji, R. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.09.043 · Cited by 329
Artificial intelligence in safety-critical systems: a systematic review
Wang, Y., & Chung, S. H. (2022) · Industrial Management & Data Systems · doi:10.1108/imds-07-2021-0419 · Cited by 96
Marvin, H. J. P., Bouzembrak, Y., Janssen, E. M., van der Zande, M., Murphy, F., Sheehan, B., Mullins, M., & Bouwmeester, H. (2017) · Nanotoxicology · doi:10.1080/17435390.2016.1278481 · Cited by 82
García-Herrero, S., Mariscal, M. A., Gutiérrez, J. M., & Ritzel, D. O. (2013) · Accident Analysis & Prevention · doi:10.1016/j.aap.2013.04.009 · Cited by 62
Metadata
- Authors
- Langseth, H., & Portinale, L.
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2007-01
- Volume
- 92
- Issue
- 1
- Pages
- 92-108
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W2068509236
- Cited by
- 571
- References
- 3
- FWCI
- 19.52
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Bayesian networks in reliability. https://app.cochat.ai/papers/10.1016/j.ress.2005.11.037
- The paper
- Langseth, H., & Portinale, L. (2007). Bayesian networks in reliability. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2005.11.037
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.
