Journal of Verification, Validation and Uncertainty Quantification

Aims & Scope

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.

Validation experiments and data uncertainty, simulation challenge problems, new approaches to VVUQ, discipline-specific examples and methods, and developments in and demonstration of standards of practice for verification and validation are examples of relevant topics to this journal.

Areas of interest including, but not limited to: 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; Aleatoric uncertainty; Epistemic uncertainty; Comparator; Quantification of margins and uncertainties (QMU); Fundamentals of probability; Applications of probability; Bayesian inference; V&V standards development; Challenge problems; Model calibration methods; Uncertainty propagation; Application examples of VVUQ.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	22501

Journal Citation Indicator

Year	Value
2024	61

SJR (SCImago Journal Rank)

Year	Value
2024	0.180

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	15

Impact Factor

Year	Value
2024	0.50

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Assessment Criteria for Computational Fluid Dynamics Model Validation Experiments

  Citation: 40

  Authors: William L., Barton L.

• Applicability Analysis of Validation Evidence for Biomedical Computational Models

  Citation: 40

  Authors: Pras, Richard A., Vicente J., Tina M.

• Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem

  Citation: 31

  Authors: Wei, Shishi, Zhen, Daniel W., Zhenzhou, Wei

• Bayesian Uncertainty Integration for Model Calibration, Validation, and Prediction

  Citation: 31

  Authors: Joshua, Sankaran

• Numerical Errors in Unsteady Flow Simulations

  Citation: 26

  Authors: L., G., S. L., M.

• Validation Metrics for Deterministic and Probabilistic Data

  Citation: 25

  Authors: Kathryn A., Laura P., Nathan W.

• Interval Predictor Models With a Linear Parameter Dependency

  Citation: 19

  Authors: Luis G., Sean P., Daniel P.

• Dynamics Model Validation Using Time-Domain Metrics

  Citation: 19

  Authors: Dan, Zhen, Sankaran

• A New Extrapolation-Based Uncertainty Estimator for Computational Fluid Dynamics

  Citation: 17

  Authors: Tyrone S., Christopher J.

• Probability Bounds Analysis Applied to the Sandia Verification and Validation Challenge Problem

  Citation: 15

  Authors: Aniruddha, Ian T., Christopher J., William L., Mayuresh

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