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 2022-06-01 to 2026-06-01.)

Article	Citations
A systematic review of exploratory factor analysis packages in R software	131
	95
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis	56
	44
The Mollified (Discrete) Uniform Distribution and Its Applications	43
Recent methods on short text stream clustering: A survey study	37
Issue Information	35
Issue Information	34
A Bayesian theory of mind approach to modeling cooperation and communication	32
Robust regression using probabilistically linked data	24
Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets	21
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges	21
	19
Forensic Science and How Statistics Can Help It	19
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis	17
Orthogonal Arrays: A Review	16
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques	16
A journey from univariate to multivariate functional time series: A comprehensive review	16
Issue Information	15
Issue Information	12
Learning the sparse prior: Modern approaches	12
The discrete empirical interpolation method in class identification and data summarization	11
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges	10
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging	10
Merging two cultures: Deep and statistical learning	9

Unsupervised clustering using nonparametric finite mixture models	8
Contrastive Dimension Reduction: A Systematic Review	8
Convergence rates of Metropolis–Hastings algorithms	8
Quality‐Diversity Methods for the Modern Data Scientist	7
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics	7
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review	7
Theoretical Perspectives on Knowledge Distillation: A Review	7
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)	7
A Guide to Designing Experiments to Test Statistical Graphics	7
	7
Vector AutoRegressive Moving Average Models: A Review	7
Sequential Monte Carlo optimization and statistical inference	7
Error control in tree structured hypothesis testing	7
	6
The promise and limitations of formal privacy	6
Halfspace Depth	6
	6
On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests	5
Issue Information	5
Optimal Experimental Designs for Sparse Functional Data: A Review	5
Issue Information	5
Sequential change‐point detection: Computation versus statistical performance	4
Nonidentifiability of Within‐Cluster Dependence Parameters in Analytic Survey Inference	4
A survey of numerical algorithms that can solve the Lasso problems	4
Federated Learning: Examining Statistical Operating Characteristics in the Context of Privacy‐Preserving Information Sharing	4
Issue Information	4
Issue Information	4
Hidden Truncation Models: Theory and Applications	4
	4
Correction to “A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics”	4
Data Analysis Using the Concentration Function	4
Text Mining in Bibliometrics and Science Mapping: A Methodological Review	4
A review of N‐mixture models	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
Covariance Estimation for Wide Data	3
Surrogate Endpoints in Drug Development: A Review of Statistical and Regulatory Perspectives and Applications	3
Statistical Process Monitoring Based on Functional Data Analysis	3
Subgroup Identification via Multiple Change Point Detection: Methods and Applications	3
Cluster analysis: A modern statistical review	3
A spectrum of explainable and interpretable machine learning approaches for genomic studies	3
A review on computer model calibration	3
Issue Information	2
Information criteria for model selection	2
Functional Data Analysis Applications in Medicine: A Systematic Review	2
A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations	2
Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review	2
Issue Information	2
	2

A survey on post‐quantum based approaches for edge computing security	2
Sampling constrained continuous probability distributions: A review	2
Robust clustering based on trimming	2
Issue Information	2
Recent advances on mechanisms of network generation: Community, exchangeability, and scale‐free properties	2
Breaking the Complexity of Cancer Using Computational Transcriptomic Network Biology	2
On the Foundational Arguments of Sufficient Dimension Reduction	2
A Systematic Review and Comparative Study of R Packages for Ordinal Response Regression Models	2