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 2021-08-01 to 2025-08-01.)
ArticleCitations
A systematic review of exploratory factor analysis packages in R software71
37
36
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis34
Projection‐based techniques for high‐dimensional optimal transport problems25
The Mollified (Discrete) Uniform Distribution and Its Applications21
Recent methods on short text stream clustering: A survey study20
Issue Information19
Robust regression using probabilistically linked data19
Forensic Science and How Statistics Can Help It18
Issue Information18
16
A Bayesian theory of mind approach to modeling cooperation and communication16
Nearest‐neighbor sparse Cholesky matrices in spatial statistics15
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques14
Stability estimation for unsupervised clustering: A review13
A journey from univariate to multivariate functional time series: A comprehensive review13
Orthogonal Arrays: A Review12
Cover Image12
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis12
Issue Information11
Issue Information10
Learning the sparse prior: Modern approaches9
The discrete empirical interpolation method in class identification and data summarization8
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging8
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges7
Unsupervised clustering using nonparametric finite mixture models6
Convergence rates of Metropolis–Hastings algorithms6
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review5
Error control in tree structured hypothesis testing5
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)5
Merging two cultures: Deep and statistical learning5
Joint Gaussian graphical model estimation: A survey5
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics4
Halfspace Depth4
Cluster‐scaled principal component analysis4
Vector AutoRegressive Moving Average Models: A Review4
Sequential Monte Carlo optimization and statistical inference4
4
Function minimization and nonlinear least squares in R4
A Guide to Designing Experiments to Test Statistical Graphics4
0.038459062576294