The Journal of Verification, Validation and Uncertainty Quantification (JVVUQ) disseminates original research in the development and application of methods for performing code and solution (calculation) verification, simulation validation, and simulation and experimental uncertainty quantification. The application of verification, validation, and uncertainty quantification to discipline-specific examples are considered important contributions to this journal.
Journal Home:  Journal Homepage
Editor-in-Chief:  Christopher Freitas
scope: Code verification; Solution verification; Validation; Uncertainty quantification; Model prediction; Model adequacy; Model accuracy; Predictive capacity; Model maturity; Phenomena identification and ranking table (PIRT); Design of experiments; Experimental uncertainty; Uncertainty in measurement; Model uncertainty; Model discrepancy; Sensitivity analysis; Model fidelity; Intended use; Context of use; Regulatory science.
Print ISSN:  2377-2158
Electronic ISSN:  2377-2166
Abstracting and Indexing:  Scopus
Imapct Factor :  
Subject Area and Category:  Computer Science Computational Theory and Mathematics Computer Science Applications Mathematics Modeling and Simulation Statistics and Probability
Publication Frequency:  
H Index:  6
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Q2:  
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Q4:  Statistics and Probability
Cite Score:  2.9
SNIP:  1.162
Journal Rank(SJR):  0.277
Latest Articles:   Latest Articles in Journal of Verification, Validation and Uncertainty Quantification
Guidelines for Authors: Journal of Verification, Validation and Uncertainty Quantification Author Guidelines
Publisher:  The American Society of Mechanical Engineers(ASME)
Country:  United States