verified SJR 0,629 · Q2 • database Scopus / SJR & Web of Science indexed

United States · Begell House Inc.

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International Journal for Uncertainty Quantification

International Journal for Uncertainty Quantification is a journal indexed in SJR in Modeling and Simulation and Statistics and Probability with an H index of 29. It has an SJR impact factor of 0,629 and it has a best quartile of Q2. It has an SJR impact factor of 0,629.

ISSN: 2152-5080

Publisher: Begell House Inc.

Category: Modeling and Simulation

Indexation: verifiedScopus / SJR verifiedWeb of Science

open_in_new Portal NPD menu_book Guidelines NPD

schedule CountryOfPapers database fields

SJR Impact Factor trending_up

0,629 Q2

H-index 29

Acceptance rate pie_chart

39%

Source Acceptance_Rate

Time to publication hourglass_top

NPD

Field NPD

Publication cost (APC) payments

NPD Subscription

Non-OA path NPD

Metrics

Scimago and CountryOfPapers database fields

Scopus / SJR Web of Science

SJR Impact

0,629

H-index

Docs (year)

Docs 3y

Total refs

1183

Cites 3y

124

Citable 3y

Cites/Doc 2y

1.87

Ref/Doc

47.32

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Best articles by citations

A STOPPING CRITERION FOR ITERATIVE SOLUTION OF STOCHASTIC GALERKIN MATRIX EQUATIONS

WASSERSTEIN METRIC-DRIVEN BAYESIAN INVERSION WITH APPLICATIONS TO SIGNAL PROCESSING

DESIGN-POINT EXCITATION FOR CRACK PROPAGATION UNDER NARROW-BAND RANDOM LOADING

DESIGN UNDER UNCERTAINTY EMPLOYING STOCHASTIC EXPANSION METHODS

CONSTRUCTION OF EVIDENCE BODIES FROM UNCERTAIN OBSERVATIONS

BIAS MINIMIZATION IN GAUSSIAN PROCESS SURROGATE MODELING FOR UNCERTAINTY QUANTIFICATION

BAYESIAN NONPARAMETRIC GENERAL REGRESSION

BAYESIAN INFERENCE FOR INVERSE PROBLEMS OCCURRING IN UNCERTAINTY ANALYSIS

BAYESIAN APPROACH TO THE STATISTICAL INVERSE PROBLEM OF SCATTEROMETRY: COMPARISON OF THREE SURROGATE MODELS

AN OVERVIEW OF NONINTRUSIVE CHARACTERIZATION, PROPAGATION, AND SENSITIVITY ANALYSIS OF UNCERTAINTIES IN COMPUTATIONAL MECHANICS

AN ERROR SUBSPACE PERSPECTIVE ON DATA ASSIMILATION

AN EFFICIENT NUMERICAL METHOD FOR UNCERTAINTY QUANTIFICATION IN CARDIOLOGY MODELS

SHOW MORE ARTICLES

ADAPTIVE SAMPLING WITH TOPOLOGICAL SCORES

A GENERAL FRAMEWORK FOR ENHANCING SPARSITY OF GENERALIZED POLYNOMIAL CHAOS EXPANSIONS

A STOCHASTIC FINITE-ELEMENT METHOD FOR TRANSFORMED NORMAL RANDOM PARAMETER FIELDS

A POSTERIORI ERROR ESTIMATION FOR A CUT CELL FINITE VOLUME METHOD WITH UNCERTAIN INTERFACE LOCATION

A PARAMETER SUBSET SELECTION ALGORITHM FOR MIXED-EFFECTS MODELS

A NOVEL GLOBAL METHOD FOR RELIABILITY ANALYSIS WITH KRIGING

A NONSTATIONARY COVARIANCE FUNCTION MODEL FOR SPATIAL UNCERTAINTIES IN ELECTROSTATICALLY ACTUATED MICROSYSTEMS

A NEW INVERSE METHOD FOR THE UNCERTAINTY QUANTIFICATION OF SPATIALLY VARYING RANDOM MATERIAL PROPERTIES

A NEW GIBBS SAMPLING BASED BAYESIAN MODEL UPDATING APPROACH USING MODAL DATA FROM MULTIPLE SETUPS

A MULTIMODES MONTE CARLO FINITE ELEMENT METHOD FOR ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS WITH RANDOM COEFFICIENTS

A MULTI-FIDELITY STOCHASTIC COLLOCATION METHOD FOR PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS WITH RANDOM INPUT DATA

A HERMITE SPECTRAL METHOD FOR A FOKKER-PLANCK OPTIMAL CONTROL PROBLEM IN AN UNBOUNDED DOMAIN

FAQs

International Journal for Uncertainty Quantification has an SJR of 0,629 (best quartile Q2) in the CountryOfPapers database.

Immediate OA APC is not available (NPD).

The acceptance rate recorded for International Journal for Uncertainty Quantification is 39%.

International Journal for Uncertainty Quantification

Metrics

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Researcher reviews

Best articles by citations

FAQs

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What is the acceptance rate?