Wiley Interdisciplinary Reviews-Computational Statistics

Papers
(The TQCC of Wiley Interdisciplinary Reviews-Computational Statistics is 5. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
A systematic review of exploratory factor analysis packages in R software125
86
The Mollified (Discrete) Uniform Distribution and Its Applications53
48
Projection‐based techniques for high‐dimensional optimal transport problems41
Recent methods on short text stream clustering: A survey study41
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis35
Issue Information33
Forensic Science and How Statistics Can Help It32
Issue Information31
A Bayesian theory of mind approach to modeling cooperation and communication22
Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets19
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges18
Robust regression using probabilistically linked data18
17
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis16
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques15
A journey from univariate to multivariate functional time series: A comprehensive review15
Orthogonal Arrays: A Review15
Issue Information13
Issue Information13
Learning the sparse prior: Modern approaches12
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges11
The discrete empirical interpolation method in class identification and data summarization11
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging10
Merging two cultures: Deep and statistical learning9
Unsupervised clustering using nonparametric finite mixture models9
Contrastive Dimension Reduction: A Systematic Review8
Quality‐Diversity Methods for the Modern Data Scientist8
Theoretical Perspectives on Knowledge Distillation: A Review7
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)7
A Guide to Designing Experiments to Test Statistical Graphics7
7
Error control in tree structured hypothesis testing7
Convergence rates of Metropolis–Hastings algorithms7
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
Halfspace Depth6
Sequential Monte Carlo optimization and statistical inference6
Vector AutoRegressive Moving Average Models: A Review6
5
5
On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests5
5
Issue Information5
The promise and limitations of formal privacy5
Issue Information5
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