International Journal for Uncertainty Quantification : Impact Factor & More
eISSN: 2152-5099pISSN: 2152-5080
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Key Metrics
CiteScore 
4.2
H-Index
25
Impact Factor
< 5
SJR
Q2Modeling and Simulation
SNIP
0.73
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Topics Covered on International Journal for Uncertainty Quantification
International Journal for Uncertainty Quantification Journal Specifications
| Overview | |
| Publisher | BEGELL HOUSE INC |
| Language | English |
| Frequency | Bi-monthly |
| General Details | |
| Language | English |
| Frequency | Bi-monthly |
| Publication Start Year | 2011 |
| Publisher URL | Visit website |
| Website URL | Visit website |
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Recently Published Papers in International Journal for Uncertainty Quantification
EFFICIENT SHAPE AND TOPOLOGY OPTIMIZATION FOR RANDOM EXTERIOR BERNOULLI FREE BOUNDARY PROBLEMS BASED ON THE MULTIMODES MONTE CARLO METHOD
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- 1 Jan 2026
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Title not available
- 1 Jan 2026
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DEEP INTRINSIC COREGIONALIZATION MULTI-OUTPUT GAUSSIAN PROCESS SURROGATE WITH ACTIVE LEARNING
- 1 Jan 2026
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EFFICIENT SHAPE AND TOPOLOGY OPTIMIZATION FOR RANDOM EXTERIOR BERNOULLI FREE BOUNDARY PROBLEMS BASED ON THE MULTIMODES MONTE CARLO METHOD
- 1 Jan 2026
- International Journal for Uncertainty Quantification
Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields
- 1 Jan 2026
- International Journal for Uncertainty Quantification
A tree-based Polynomial Chaos expansion for surrogate modeling and sensitivity analysis of complex numerical models
- 1 Jan 2026
- International Journal for Uncertainty Quantification
Title not available
- 1 Jan 2026
- International Journal for Uncertainty Quantification
A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models
- 1 Jan 2026
- International Journal for Uncertainty Quantification
DEEP INTRINSIC COREGIONALIZATION MULTI-OUTPUT GAUSSIAN PROCESS SURROGATE WITH ACTIVE LEARNING
- 1 Jan 2026
- International Journal for Uncertainty Quantification
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