OOIR: Observatory of International Research

Papers

(The median citation count of Wiley Interdisciplinary Reviews-Computational Statistics is 2. 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 2022-07-01 to 2026-07-01.)

Article	Citations
A systematic review of exploratory factor analysis packages in R software	133
	102
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis	63
	48
Recent methods on short text stream clustering: A survey study	47
Issue Information	38
The Mollified (Discrete) Uniform Distribution and Its Applications	38
Issue Information	35
Robust regression using probabilistically linked data	33
Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets	26
Forensic Science and How Statistics Can Help It	24
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges	22
A Bayesian theory of mind approach to modeling cooperation and communication	21
	19
A journey from univariate to multivariate functional time series: A comprehensive review	18
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis	18
Orthogonal Arrays: A Review	17
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques	16
Issue Information	13
Issue Information	12
Learning the sparse prior: Modern approaches	12
The discrete empirical interpolation method in class identification and data summarization	12
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging	11
Issue Information	9
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges	9

Unsupervised clustering using nonparametric finite mixture models	9
Contrastive Dimension Reduction: A Systematic Review	8
Theoretical Perspectives on Knowledge Distillation: A Review	8
Quality‐Diversity Methods for the Modern Data Scientist	8
Wavelet‐Based Hurst Exponent Estimation	8
Error control in tree structured hypothesis testing	8
Convergence rates of Metropolis–Hastings algorithms	8
Merging two cultures: Deep and statistical learning	8
Sequential Monte Carlo optimization and statistical inference	7
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review	7
A Guide to Designing Experiments to Test Statistical Graphics	7
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)	7
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics	7
	7
Vector AutoRegressive Moving Average Models: A Review	6
Halfspace Depth	6
	6
	6
Sequential change‐point detection: Computation versus statistical performance	5
On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests	5
Issue Information	5
	5
Optimal Experimental Designs for Sparse Functional Data: A Review	5
The promise and limitations of formal privacy	5
Federated Learning: Examining Statistical Operating Characteristics in the Context of Privacy‐Preserving Information Sharing	5
Issue Information	5
Nonidentifiability of Within‐Cluster Dependence Parameters in Analytic Survey Inference	4
Data Analysis Using the Concentration Function	4
A survey of numerical algorithms that can solve the Lasso problems	4
Issue Information	4
Text Mining in Bibliometrics and Science Mapping: A Methodological Review	4
Covariance Estimation for Wide Data	4
A review of N‐mixture models	4
Correction to “A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics”	4
Issue Information	4
Subgroup Identification via Multiple Change Point Detection: Methods and Applications	4
Cluster analysis: A modern statistical review	4
Recent advances on mechanisms of network generation: Community, exchangeability, and scale‐free properties	3
Hidden Truncation Models: Theory and Applications	3
A spectrum of explainable and interpretable machine learning approaches for genomic studies	3
Statistical Process Monitoring Based on Functional Data Analysis	3
Issue Information	3
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data	3
A Review of Recent Advances in High‐Dimensional Quantile Regression	3
Issue Information	3
	3
Surrogate Endpoints in Drug Development: A Review of Statistical and Regulatory Perspectives and Applications	3
A review on computer model calibration	3
Issue Information	3
A survey on post‐quantum based approaches for edge computing security	2

Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review	2
A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations	2
Information criteria for model selection	2
A Systematic Review and Comparative Study of R Packages for Ordinal Response Regression Models	2
Robust clustering based on trimming	2
Breaking the Complexity of Cancer Using Computational Transcriptomic Network Biology	2
Issue Information	2
On the Foundational Arguments of Sufficient Dimension Reduction	2
Sampling constrained continuous probability distributions: A review	2