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 2022-08-01 to 2026-08-01.)

Article	Citations
A systematic review of exploratory factor analysis packages in R software	146
	109
	64
Recent methods on short text stream clustering: A survey study	50
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis	49
The Mollified (Discrete) Uniform Distribution and Its Applications	42
Issue Information	39
Issue Information	37
Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets	33
Forensic Science and How Statistics Can Help It	30
A Bayesian theory of mind approach to modeling cooperation and communication	24
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges	23
	22
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis	20
A journey from univariate to multivariate functional time series: A comprehensive review	18
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques	18
Orthogonal Arrays: A Review	17
Issue Information	14
Learning the sparse prior: Modern approaches	12
Issue Information	12
The discrete empirical interpolation method in class identification and data summarization	12
Issue Information	11
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging	10
Contrastive Dimension Reduction: A Systematic Review	10
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges	10

Quality‐Diversity Methods for the Modern Data Scientist	10
Merging two cultures: Deep and statistical learning	9
Unsupervised clustering using nonparametric finite mixture models	9
Wavelet‐Based Hurst Exponent Estimation	9
	8
Convergence rates of Metropolis–Hastings algorithms	8
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)	8
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics	7
Error control in tree structured hypothesis testing	7
Sequential Monte Carlo optimization and statistical inference	7
Theoretical Perspectives on Knowledge Distillation: A Review	7
A Guide to Designing Experiments to Test Statistical Graphics	7
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review	7
Issue Information	6
	6
Optimal Experimental Designs for Sparse Functional Data: A Review	6
The promise and limitations of formal privacy	6
Issue Information	6
Federated Learning: Examining Statistical Operating Characteristics in the Context of Privacy‐Preserving Information Sharing	6
Vector AutoRegressive Moving Average Models: A Review	6
Halfspace Depth	6
On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests	5
	5
Nonidentifiability of Within‐Cluster Dependence Parameters in Analytic Survey Inference	5
	5
Issue Information	5
Sequential change‐point detection: Computation versus statistical performance	5
Text Mining in Bibliometrics and Science Mapping: A Methodological Review	4
Data Analysis Using the Concentration Function	4
Hidden Truncation Models: Theory and Applications	4
Covariance Estimation for Wide Data	4
Correction to “A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics”	4
Subgroup Identification via Multiple Change Point Detection: Methods and Applications	4
Cluster analysis: A modern statistical review	4
Issue Information	4
A survey of numerical algorithms that can solve the Lasso problems	4
A review of N‐mixture models	4
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 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
On the Foundational Arguments of Sufficient Dimension Reduction	2
Information criteria for model selection	2
Sampling constrained continuous probability distributions: A review	2

A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations	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
Robust clustering based on trimming	2
Functional Data Analysis Applications in Medicine: A Systematic Review	2
A survey on post‐quantum based approaches for edge computing security	2
Breaking the Complexity of Cancer Using Computational Transcriptomic Network Biology	2
A Systematic Review and Comparative Study of R Packages for Ordinal Response Regression Models	2
Variable Selection for Prediction in Clinical Research	2