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 2022-01-01 to 2026-01-01.)

Article	Citations
A systematic review of exploratory factor analysis packages in R software	97
	58
	51
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis	45
The Mollified (Discrete) Uniform Distribution and Its Applications	43
Recent methods on short text stream clustering: A survey study	29
Issue Information	28
Projection‐based techniques for high‐dimensional optimal transport problems	28
Issue Information	26
Forensic Science and How Statistics Can Help It	24
Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets	24
Robust regression using probabilistically linked data	22
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges	21
A Bayesian theory of mind approach to modeling cooperation and communication	21
	21
A journey from univariate to multivariate functional time series: A comprehensive review	17
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis	17
Stability estimation for unsupervised clustering: A review	15
Orthogonal Arrays: A Review	15
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques	15
Cover Image	15
Issue Information	13
Issue Information	12
Learning the sparse prior: Modern approaches	11
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging	10

The discrete empirical interpolation method in class identification and data summarization	10
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges	9
Convergence rates of Metropolis–Hastings algorithms	7
Unsupervised clustering using nonparametric finite mixture models	7
Merging two cultures: Deep and statistical learning	7
Joint Gaussian graphical model estimation: A survey	6
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review	6
Quality‐Diversity Methods for the Modern Data Scientist	6
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics	6
Error control in tree structured hypothesis testing	6
	6
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)	6
Theoretical Perspectives on Knowledge Distillation: A Review	5
	5
Sequential Monte Carlo optimization and statistical inference	5
Halfspace Depth	5
A Guide to Designing Experiments to Test Statistical Graphics	5
Function minimization and nonlinear least squares in R	5
Vector AutoRegressive Moving Average Models: A Review	5
Optimal Experimental Designs for Sparse Functional Data: A Review	4
	4
Issue Information	4
Sequential change‐point detection: Computation versus statistical performance	4
On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests	4
	4
Issue Information	4
Federated Learning: Examining Statistical Operating Characteristics in the Context of Privacy‐Preserving Information Sharing	4
The promise and limitations of formal privacy	4
Issue Information	3
Issue Information	3
A review of N‐mixture models	3
Particle swarm optimization for searching efficient experimental designs: A review	3
Correction to “A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics”	3
A survey of numerical algorithms that can solve the Lasso problems	3
Hidden Truncation Models: Theory and Applications	3
Issue Information	3
Issue Information	3
Data Analysis Using the Concentration Function	3
A spectrum of explainable and interpretable machine learning approaches for genomic studies	2
Issue Information	2
	2
Information criteria for model selection	2
Surrogate Endpoints in Drug Development: A Review of Statistical and Regulatory Perspectives and Applications	2
Issue Information	2
Recent advances on mechanisms of network generation: Community, exchangeability, and scale‐free properties	2
Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review	2
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data	2
A review on computer model calibration	2
Cluster analysis: A modern statistical review	2
A survey on post‐quantum based approaches for edge computing security	2

Issue Information	2
	1
Breaking the Complexity of Cancer Using Computational Transcriptomic Network Biology	1
Robust discriminant analysis	1
Issue Information	1
Functional Data Analysis Applications in Medicine: A Systematic Review	1
A review of normalization and differential abundance methods for microbiome counts data	1
Data integration in causal inference	1
	1
Issue Information	1
Combining surveys in small area estimation using area‐level models	1
Variable Selection for Prediction in Clinical Research	1
Functional neuroimaging in the era of Big Data and Open Science: A modern overview	1
Robust clustering based on trimming	1
A Review of Tree‐Based Methods for Analyzing Survey Data	1
Sampling constrained continuous probability distributions: A review	1
	1
A review on authorship attribution in text mining	1
Statistical inference for stochastic differential equations	1
A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations	1
	1
A Systematic Review and Comparative Study of R Packages for Ordinal Response Regression Models	1