Wiley Interdisciplinary Reviews-Computational Statistics

Papers
(The TQCC of Wiley Interdisciplinary Reviews-Computational Statistics is 6. 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.)
ArticleCitations
A systematic review of exploratory factor analysis packages in R software146
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Recent methods on short text stream clustering: A survey study50
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis49
The Mollified (Discrete) Uniform Distribution and Its Applications42
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Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets33
Forensic Science and How Statistics Can Help It30
A Bayesian theory of mind approach to modeling cooperation and communication24
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges23
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From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis20
A journey from univariate to multivariate functional time series: A comprehensive review18
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques18
Orthogonal Arrays: A Review17
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The discrete empirical interpolation method in class identification and data summarization12
Learning the sparse prior: Modern approaches12
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Contrastive Dimension Reduction: A Systematic Review10
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges10
Quality‐Diversity Methods for the Modern Data Scientist10
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging10
Unsupervised clustering using nonparametric finite mixture models9
Wavelet‐Based Hurst Exponent Estimation9
Merging two cultures: Deep and statistical learning9
Convergence rates of Metropolis–Hastings algorithms8
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)8
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Sequential Monte Carlo optimization and statistical inference7
Theoretical Perspectives on Knowledge Distillation: A Review7
A Guide to Designing Experiments to Test Statistical Graphics7
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review7
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics7
Error control in tree structured hypothesis testing7
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Optimal Experimental Designs for Sparse Functional Data: A Review6
The promise and limitations of formal privacy6
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Federated Learning: Examining Statistical Operating Characteristics in the Context of Privacy‐Preserving Information Sharing6
Vector AutoRegressive Moving Average Models: A Review6
Halfspace Depth6
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