Wiley Interdisciplinary Reviews-Computational Statistics

Papers
(The TQCC of Wiley Interdisciplinary Reviews-Computational Statistics is 4. 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
40
39
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
Issue Information20
Issue Information19
Forensic Science and How Statistics Can Help It18
A Bayesian theory of mind approach to modeling cooperation and communication18
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges18
Robust regression using probabilistically linked data16
16
Nearest‐neighbor sparse Cholesky matrices in spatial statistics15
Cover Image14
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques14
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis13
Orthogonal Arrays: A Review13
A journey from univariate to multivariate functional time series: A comprehensive review13
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
Issue Information7
Unsupervised clustering using nonparametric finite mixture models6
Issue Information6
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
5
Error control in tree structured hypothesis testing5
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
4
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
4
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
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