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 2021-11-01 to 2025-11-01.)

Article	Citations
A systematic review of exploratory factor analysis packages in R software	85
	49
	46
Recent methods on short text stream clustering: A survey study	38
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis	34
The Mollified (Discrete) Uniform Distribution and Its Applications	24
Projection‐based techniques for high‐dimensional optimal transport problems	23
Issue Information	22
Issue Information	22
Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets	21
Forensic Science and How Statistics Can Help It	21
A Bayesian theory of mind approach to modeling cooperation and communication	20
Robust regression using probabilistically linked data	20
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges	19
	18
A journey from univariate to multivariate functional time series: A comprehensive review	15
Nearest‐neighbor sparse Cholesky matrices in spatial statistics	15
Stability estimation for unsupervised clustering: A review	14
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis	14
Orthogonal Arrays: A Review	13
Cover Image	13
Issue Information	10
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques	10
Learning the sparse prior: Modern approaches	9
Issue Information	9

Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging	9
The discrete empirical interpolation method in class identification and data summarization	7
Merging two cultures: Deep and statistical learning	6
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges	6
Convergence rates of Metropolis–Hastings algorithms	6
Quality‐Diversity Methods for the Modern Data Scientist	6
Unsupervised clustering using nonparametric finite mixture models	6
Theoretical Perspectives on Knowledge Distillation: A Review	5
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics	5
Halfspace Depth	5
Error control in tree structured hypothesis testing	5
Joint Gaussian graphical model estimation: A survey	5
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review	5
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)	5
	5
	4
A Guide to Designing Experiments to Test Statistical Graphics	4
Optimal Experimental Designs for Sparse Functional Data: A Review	4
	4
Function minimization and nonlinear least squares in R	4
The promise and limitations of formal privacy	4
Vector AutoRegressive Moving Average Models: A Review	4
Sequential Monte Carlo optimization and statistical inference	4
Issue Information	3
Correction to “A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics”	3
Issue Information	3
Issue Information	3
On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests	3
Issue Information	3
Federated Learning: Examining Statistical Operating Characteristics in the Context of Privacy‐Preserving Information Sharing	3
Hidden Truncation Models: Theory and Applications	3
Issue Information	3
Sequential change‐point detection: Computation versus statistical performance	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
Recent advances on mechanisms of network generation: Community, exchangeability, and scale‐free properties	2
Particle swarm optimization for searching efficient experimental designs: A review	2
Cluster analysis: A modern statistical review	2
A spectrum of explainable and interpretable machine learning approaches for genomic studies	2
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data	2
Issue Information	2
A review of N‐mixture models	2
Surrogate Endpoints in Drug Development: A Review of Statistical and Regulatory Perspectives and Applications	2
Issue Information	2
Breaking the Complexity of Cancer Using Computational Transcriptomic Network Biology	1
	1
Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review	1
Robust clustering based on trimming	1
Sampling constrained continuous probability distributions: A review	1

Variable Selection for Prediction in Clinical Research	1
Issue Information	1
A survey on post‐quantum based approaches for edge computing security	1
Issue Information	1
A Systematic Review and Comparative Study of R Packages for Ordinal Response Regression Models	1
Statistical inference for stochastic differential equations	1
A review of normalization and differential abundance methods for microbiome counts data	1
Issue Information	1
Information criteria for model selection	1
A review on authorship attribution in text mining	1
A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations	1
Functional Data Analysis Applications in Medicine: A Systematic Review	1