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 2022-06-01 to 2026-06-01.)
ArticleCitations
A systematic review of exploratory factor analysis packages in R software131
95
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis56
44
The Mollified (Discrete) Uniform Distribution and Its Applications43
Recent methods on short text stream clustering: A survey study37
Issue Information35
Issue Information34
A Bayesian theory of mind approach to modeling cooperation and communication32
Robust regression using probabilistically linked data24
Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets21
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges21
19
Forensic Science and How Statistics Can Help It19
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis17
Orthogonal Arrays: A Review16
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques16
A journey from univariate to multivariate functional time series: A comprehensive review16
Issue Information15
Learning the sparse prior: Modern approaches12
Issue Information12
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
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges10
Merging two cultures: Deep and statistical learning9
Contrastive Dimension Reduction: A Systematic Review8
Convergence rates of Metropolis–Hastings algorithms8
Unsupervised clustering using nonparametric finite mixture models8
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
Vector AutoRegressive Moving Average Models: A Review7
Sequential Monte Carlo optimization and statistical inference7
Error control in tree structured hypothesis testing7
Quality‐Diversity Methods for the Modern Data Scientist7
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics7
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review7
6
The promise and limitations of formal privacy6
Halfspace Depth6
6
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