OOIR: Observatory of International Research

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 2021-10-01 to 2025-10-01.)

Article	Citations
A systematic review of exploratory factor analysis packages in R software	81
	43
Projection‐based techniques for high‐dimensional optimal transport problems	41
	39
The Mollified (Discrete) Uniform Distribution and Its Applications	31
Recent methods on short text stream clustering: A survey study	23
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis	22
Issue Information	21
Forensic Science and How Statistics Can Help It	20
Issue Information	20
Robust regression using probabilistically linked data	19
Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets	18
A Bayesian theory of mind approach to modeling cooperation and communication	18
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges	17
	15
Nearest‐neighbor sparse Cholesky matrices in spatial statistics	15
A journey from univariate to multivariate functional time series: A comprehensive review	14
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis	13
Stability estimation for unsupervised clustering: A review	13
Cover Image	13
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques	11
Issue Information	9
Issue Information	9
Orthogonal Arrays: A Review	9
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging	8

Learning the sparse prior: Modern approaches	8
The discrete empirical interpolation method in class identification and data summarization	7
Unsupervised clustering using nonparametric finite mixture models	6
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges	6
Merging two cultures: Deep and statistical learning	5
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)	5
Joint Gaussian graphical model estimation: A survey	5
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics	5
	5
Convergence rates of Metropolis–Hastings algorithms	5
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review	5
Error control in tree structured hypothesis testing	5
Vector AutoRegressive Moving Average Models: A Review	4
Halfspace Depth	4
Issue Information	4
Cluster‐scaled principal component analysis	4
Function minimization and nonlinear least squares in R	4
	4
	4
Sequential Monte Carlo optimization and statistical inference	4
A Guide to Designing Experiments to Test Statistical Graphics	4
Sequential change‐point detection: Computation versus statistical performance	4
Optimal Experimental Designs for Sparse Functional Data: A Review	3
On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests	3
Issue Information	3
Hidden Truncation Models: Theory and Applications	3
Issue Information	3
The promise and limitations of formal privacy	3
Issue Information	3
Issue Information	3
Federated Learning: Examining Statistical Operating Characteristics in the Context of Privacy‐Preserving Information Sharing	3
Issue Information	3
A review of N‐mixture models	3
Correction to “A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics”	3
Data Analysis Using the Concentration Function	2
A survey of numerical algorithms that can solve the Lasso problems	2
A review on computer model calibration	2
Particle swarm optimization for searching efficient experimental designs: A review	2
A spectrum of explainable and interpretable machine learning approaches for genomic studies	2
Surrogate Endpoints in Drug Development: A Review of Statistical and Regulatory Perspectives and Applications	2
Cluster analysis: A modern statistical review	2
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data	2
Issue Information	2
Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review	1
Sampling constrained continuous probability distributions: A review	1
Issue Information	1
Recent advances on mechanisms of network generation: Community, exchangeability, and scale‐free properties	1
	1
A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations	1
A review on authorship attribution in text mining	1

Statistical inference for stochastic differential equations	1
Information criteria for model selection	1
Issue Information	1
A survey on post‐quantum based approaches for edge computing security	1
Breaking the Complexity of Cancer Using Computational Transcriptomic Network Biology	1
A Systematic Review and Comparative Study of R Packages for Ordinal Response Regression Models	1
Robust clustering based on trimming	1
Issue Information	1
Issue Information	1