Wiley Interdisciplinary Reviews-Computational Statistics

Papers
(The median citation count of Wiley Interdisciplinary Reviews-Computational Statistics 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 2021-09-01 to 2025-09-01.)
ArticleCitations
A systematic review of exploratory factor analysis packages in R software74
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Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis38
Projection‐based techniques for high‐dimensional optimal transport problems29
Recent methods on short text stream clustering: A survey study21
The Mollified (Discrete) Uniform Distribution and Its Applications20
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A Bayesian theory of mind approach to modeling cooperation and communication18
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges18
Forensic Science and How Statistics Can Help It18
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Robust regression using probabilistically linked data16
Nearest‐neighbor sparse Cholesky matrices in spatial statistics15
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques14
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Orthogonal Arrays: A Review13
A journey from univariate to multivariate functional time series: A comprehensive review13
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis13
Stability estimation for unsupervised clustering: A review12
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges10
Learning the sparse prior: Modern approaches9
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging8
The discrete empirical interpolation method in class identification and data summarization8
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Unsupervised clustering using nonparametric finite mixture models6
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Convergence rates of Metropolis–Hastings algorithms6
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics5
Merging two cultures: Deep and statistical learning5
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review5
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Error control in tree structured hypothesis testing5
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On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests4
Function minimization and nonlinear least squares in R4
Sequential Monte Carlo optimization and statistical inference4
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Vector AutoRegressive Moving Average Models: A Review4
Halfspace Depth4
Joint Gaussian graphical model estimation: A survey4
Cluster‐scaled principal component analysis4
Federated Learning: Examining Statistical Operating Characteristics in the Context of Privacy‐Preserving Information Sharing4
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)4
A Guide to Designing Experiments to Test Statistical Graphics4
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Optimal Experimental Designs for Sparse Functional Data: A Review3
Hidden Truncation Models: Theory and Applications3
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The promise and limitations of formal privacy3
Correction to “A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics”3
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Sequential change‐point detection: Computation versus statistical performance3
Ordered and censored lifetime data in reliability: An illustrative review3
A survey of numerical algorithms that can solve the Lasso problems3
A review of N‐mixture models2
A spectrum of explainable and interpretable machine learning approaches for genomic studies2
A review on computer model calibration2
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Cluster analysis: A modern statistical review2
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data2
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Surrogate Endpoints in Drug Development: A Review of Statistical and Regulatory Perspectives and Applications2
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Particle swarm optimization for searching efficient experimental designs: A review2
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A Systematic Review and Comparative Study of R Packages for Ordinal Response Regression Models1
Recent advances on mechanisms of network generation: Community, exchangeability, and scale‐free properties1
Breaking the Complexity of Cancer Using Computational Transcriptomic Network Biology1
A review on authorship attribution in text mining1
Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review1
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Information criteria for model selection1
A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations1
Robust clustering based on trimming1
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A survey on post‐quantum based approaches for edge computing security1
Sampling constrained continuous probability distributions: A review1
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