OOIR: Observatory of International Research

Papers

(The TQCC of Wiley Interdisciplinary Reviews-Computational Statistics is 5. 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
Cover Image	15
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
Issue Information	13
Issue Information	12
Learning the sparse prior: Modern approaches	11
The discrete empirical interpolation method in class identification and data summarization	10

Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging	10
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges	9
Merging two cultures: Deep and statistical learning	7
Convergence rates of Metropolis–Hastings algorithms	7
Unsupervised clustering using nonparametric finite mixture models	7
	6
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)	6
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
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