The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Efficient computation of global sensitivity indices using sparse polynomial chaos expansions
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
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
McKay, M. D., Beckman, R. J., & Conover, W. J. (2000) · Technometrics · doi:10.2307/1271432 · Cited by 7,415
Stochastic Finite Elements: A Spectral Approach
Ghanem, R., & Spanos, P. D. (1991) · Springer eBooks · doi:10.1007/978-1-4612-3094-6 · Cited by 5,851
The Nature of Statistical Learning Theory
Sain, S. R. (1996) · Technometrics · doi:10.1080/00401706.1996.10484565 · Cited by 5,434
Factorial Sampling Plans for Preliminary Computational Experiments
Morris, M. D. (1991) · Technometrics · doi:10.1080/00401706.1991.10484804 · Cited by 4,943
The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
Xiu, D., & Karniadakis, G. E. (2002) · SIAM Journal on Scientific Computing · doi:10.1137/s1064827501387826 · Cited by 4,807
McKay, M. D., Beckman, R. J., & Conover, W. J. (1979) · Technometrics · doi:10.2307/1268522 · Cited by 3,757
Numerical Methods for Least Squares Problems
Björck, Å. (1996) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611971484 · Cited by 3,257
Cited by
Adaptive sparse polynomial chaos expansion based on least angle regression
Blatman, G., & Sudret, B. (2011) · Journal of Computational Physics · doi:10.1016/j.jcp.2010.12.021 · Cited by 1,502
Self-citationReview of surrogate modeling in water resources
Razavi, S., Tolson, B. A., & Burn, D. H. (2012) · Water Resources Research · doi:10.1029/2011wr011527 · Cited by 983
Blatman, G., & Sudret, B. (2010) · Probabilistic Engineering Mechanics · doi:10.1016/j.probengmech.2009.10.003 · Cited by 832
Self-citationData-driven uncertainty quantification using the arbitrary polynomial chaos expansion
Oladyshkin, S., & Nowak, W. (2012) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2012.05.002 · Cited by 451
POLYNOMIAL-CHAOS-BASED KRIGING
Schobi, R., Sudret, B., & Wiart, J. (2015) · International Journal for Uncertainty Quantification · doi:10.1615/int.j.uncertaintyquantification.2015012467 · Cited by 398
Self-citation
Metadata
- Authors
- Blatman, G., & Sudret, B.
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 95
- Issue
- 11
- Pages
- 1216-1229
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W2092047866
- Cited by
- 383
- References
- 51
- FWCI
- 11.91
- 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: Efficient computation of global sensitivity indices using sparse polynomial chaos expansions. https://app.cochat.ai/papers/10.1016/j.ress.2010.06.015
- The paper
- Blatman, G., & Sudret, B. (2010). Efficient computation of global sensitivity indices using sparse polynomial chaos expansions. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2010.06.015
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.