OOIR: Observatory of International Research

Papers

(The median citation count of International Journal for Uncertainty Quantification is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)

Article	Citations
INDEX, VOLUME 15, 2025	36
Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields	11
SENSITIVITY ANALYSIS WITH CORRELATED INPUTS: COMPARISON OF INDICES FOR THE LINEAR CASE	9
	8
UNCERTAINTY QUANTIFICATION FOR DEEP LEARNING-BASED SCHEMES FOR SOLVING HIGH-DIMENSIONAL BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS	7
COVARIANCE ESTIMATION USING h-STATISTICS IN MONTE CARLO AND MULTILEVEL MONTE CARLO METHODS	7
A NOVEL PROBABILISTIC TRANSFER LEARNING STRATEGY FOR POLYNOMIAL REGRESSION	7
CONTROL VARIATE POLYNOMIAL CHAOS: OPTIMAL FUSION OF SAMPLING AND SURROGATES FOR MULTIFIDELITY UNCERTAINTY QUANTIFICATION	7
BAYESIAN3 ACTIVE LEARNING FOR REGULARIZED ARBITRARY MULTIELEMENT POLYNOMIAL CHAOS USING INFORMATION THEORY	7
Uncertainty Quantification in Coupled Multiphysics Systems via Gaussian Process Surrogates: Application to Fuel Assembly Bow	7
	6
	6
	6
STATISTICAL ANALYSIS OF A COMPLEX PLASMA SYSTEM FROM A SMALL NUMBER OF SIMULATIONS	6
	6
STRUCTURE-PRESERVING MODEL ORDER REDUCTION OF RANDOM PARAMETRIC LINEAR SYSTEMS VIA REGRESSION	5
SENSITIVITY ANALYSES OF A MULTIPHYSICS LONG-TERM CLOGGING MODEL FOR STEAM GENERATORS	5
CLUSTERING BASED MULTIPLE ANCHORS HIGH-DIMENSIONAL MODEL REPRESENTATION	4
	4
	4
MEASURING INPUTS-OUTPUTS ASSOCIATION FOR TIME-DEPENDENT HAZARD MODELS UNDER SAFETY OBJECTIVES USING KERNELS	4
	4
BAYESIAN PARAMETER INFERENCE FOR PARTIALLY OBSERVED DIFFUSIONS USING MULTILEVEL STOCHASTIC RUNGE-KUTTA METHODS	3
A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models	3
IMPROVING ACCURACY AND COMPUTATIONAL EFFICIENCY OF OPTIMAL DESIGN OF EXPERIMENTS VIA GREEDY BACKWARD APPROACH	3

INDEX	3
LONG SHORT-TERM RELEVANCE LEARNING	3
EFFICIENT SHAPE AND TOPOLOGY OPTIMIZATION FOR RANDOM EXTERIOR BERNOULLI FREE BOUNDARY PROBLEMS BASED ON THE MULTIMODES MONTE CARLO METHOD	3
	3
	3
UNCERTAINTY QUANTIFICATION AND GLOBAL SENSITIVITY ANALYSIS OF SEISMIC FRAGILITY CURVES USING KRIGING	2
MAXIMUM ENTROPY UNCERTAINTY MODELING AT THE FINITE ELEMENT LEVEL FOR HEATED STRUCTURES	2
QUANTIFICATION AND PROPAGATION OF MODEL-FORM UNCERTAINTIES IN RANS TURBULENCE MODELING VIA INTRUSIVE POLYNOMIAL CHAOS	2
PARALLEL PARTIAL EMULATION IN APPLICATIONS	2
SHAPLEY EFFECT ESTIMATION IN RELIABILITY-ORIENTED SENSITIVITY ANALYSIS WITH CORRELATED INPUTS BY IMPORTANCE SAMPLING	2
	2
A DOMAIN-DECOMPOSED VAE METHOD FOR BAYESIAN INVERSE PROBLEMS	2
LIKELIHOOD AND DEPTH-BASED CRITERIA FOR COMPARING SIMULATION RESULTS WITH EXPERIMENTAL DATA, IN SUPPORT OF VALIDATION OF NUMERICAL SIMULATORS	2
GLOBAL SENSITIVITY ANALYSIS USING DERIVATIVE-BASED SPARSE POINCARÉ CHAOS EXPANSIONS	2
STOCHASTIC GALERKIN METHOD AND PORT-HAMILTONIAN FORM FOR LINEAR FIRST-ORDER ORDINARY DIFFERENTIAL EQUATIONS	2
AN ADAPTIVE STRATEGY FOR SEQUENTIAL DESIGNS OF MULTILEVEL COMPUTER EXPERIMENTS	2
A GENERALIZED LIKELIHOOD-WEIGHTED OPTIMAL SAMPLING ALGORITHM FOR RARE-EVENT PROBABILITY QUANTIFICATION	2
UNBIASED ESTIMATION OF THE VANILLA AND DETERMINISTIC ENSEMBLE KALMAN-BUCY FILTERS	2
PREFACE: RECENT ADVANCES IN GLOBAL SENSITIVITY ANALYSIS	2
	2
AN ADAPTIVE MULTIPLE RESPONSE GAUSSIAN PROCESS FOR RELIABILITY ANALYSIS OF MULTI-OUTPUT SYSTEMS	1
AN ENHANCED FRAMEWORK FOR MORRIS BY COMBINING WITH A SEQUENTIAL SAMPLING STRATEGY	1
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS	1
A NEW PROBABILISTIC ADJOINT OPERATOR (PRADO) METHOD FOR SCALAR OBSERVABLES: APPLICATION TO STOCHASTIC ELECTROMAGNETIC INTERACTIONS	1
AdaAnn: ADAPTIVE ANNEALING SCHEDULER FOR PROBABILITY DENSITY APPROXIMATION	1
BAYESIAN IDENTIFICATION OF PYROLYSIS MODEL PARAMETERS FOR THERMAL PROTECTION MATERIALS USING AN ADAPTIVE GRADIENT-INFORMED SAMPLING ALGORITHM WITH APPLICATION TO A MARS ATMOSPHERIC ENTRY	1
	1
EFFICIENT APPROXIMATION OF HIGH-DIMENSIONAL EXPONENTIALS BY TENSOR NETWORKS	1
A FILTERED MULTILEVEL MONTE CARLO METHOD FOR ESTIMATING THE EXPECTATION OF CELL-CENTERED DISCRETIZED RANDOM FIELDS	1
NONINTRUSIVE SURROGATE MODELING USING SPARSE RANDOM FEATURES WITH APPLICATIONS IN CRASHWORTHINESS ANALYSIS	1
	1
PROBABILISTIC UNCERTAINTY PROPAGATION USING GAUSSIAN PROCESS SURROGATES	1
EFFICIENT TREATMENT OF THE MODEL ERROR IN THE CALIBRATION OF COMPUTER CODES: THE COMPLETE MAXIMUM A POSTERIORI METHOD	1
MODEL ERROR ESTIMATION USING PEARSON SYSTEM WITH APPLICATION TO NONLINEAR WAVES IN COMPRESSIBLE FLOWS	1
COMBINED DATA AND DEEP LEARNING MODEL UNCERTAINTIES: AN APPLICATION TO THE MEASUREMENT OF SOLID FUEL REGRESSION RATE	1
	1
INFORMATION-GEOMETRY-BASED ROBUST BAYESIAN ANALYSIS	1
DISCREPANCY MODELING FOR MODEL CALIBRATION WITH MULTIVARIATE OUTPUT	1