OOIR: Observatory of International Research

Papers

(The TQCC of Wiley Interdisciplinary Reviews-Computational Statistics is 4. 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 2021-11-01 to 2025-11-01.)

Article	Citations
A systematic review of exploratory factor analysis packages in R software	85
	49
	46
Recent methods on short text stream clustering: A survey study	38
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis	34
The Mollified (Discrete) Uniform Distribution and Its Applications	24
Projection‐based techniques for high‐dimensional optimal transport problems	23
Issue Information	22
Issue Information	22
Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets	21
Forensic Science and How Statistics Can Help It	21
Robust regression using probabilistically linked data	20
A Bayesian theory of mind approach to modeling cooperation and communication	20
Digital Twins in Modern Healthcare: A Comprehensive Review of Architectures, Applications, and Challenges	19
	18
A journey from univariate to multivariate functional time series: A comprehensive review	15
Nearest‐neighbor sparse Cholesky matrices in spatial statistics	15
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis	14
Stability estimation for unsupervised clustering: A review	14
Cover Image	13
Orthogonal Arrays: A Review	13
Issue Information	10
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques	10
Issue Information	9
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging	9

Learning the sparse prior: Modern approaches	9
The discrete empirical interpolation method in class identification and data summarization	7
Convergence rates of Metropolis–Hastings algorithms	6
Quality‐Diversity Methods for the Modern Data Scientist	6
Unsupervised clustering using nonparametric finite mixture models	6
Merging two cultures: Deep and statistical learning	6
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges	6
Error control in tree structured hypothesis testing	5
Joint Gaussian graphical model estimation: A survey	5
OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review	5
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)	5
	5
Theoretical Perspectives on Knowledge Distillation: A Review	5
A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics	5
Halfspace Depth	5
The promise and limitations of formal privacy	4
Vector AutoRegressive Moving Average Models: A Review	4
Sequential Monte Carlo optimization and statistical inference	4
	4
A Guide to Designing Experiments to Test Statistical Graphics	4
Optimal Experimental Designs for Sparse Functional Data: A Review	4
	4
Function minimization and nonlinear least squares in R	4