OOIR: Observatory of International Research

Papers

(The TQCC of Wiley Interdisciplinary Reviews-Computational Statistics is 3. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Challenges and opportunities beyond structured data in analysis of electronic health records	104
Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey	59
Advances in statistical modeling of spatial extremes	40
Ordinal regression: A review and a taxonomy of models	33
Cluster analysis: A modern statistical review	29
Stability estimation for unsupervised clustering: A review	25
A review of normalization and differential abundance methods for microbiome counts data	23
A review of second‐order blind identification methods	18
Particle swarm optimization for searching efficient experimental designs: A review	16
Community detection in complex networks: From statistical foundations to data science applications	15
Regression with linked datasets subject to linkage error	15
Copulae: An overview and recent developments	12
Zero‐inflatedmodeling part I: Traditionalzero‐inflatedcount regression models, their applications, and computational tools	12
Differential equations in data analysis	11
A review on authorship attribution in text mining	11
From object detection to text detection and recognition: A brief evolution history of optical character recognition	11
Information criteria for model selection	10
Big ideas in sports analytics and statistical tools for their investigation	10
Data integration in causal inference	9
Integrative clustering methods for multi‐omics data	9
A review of recent advances in empirical likelihood	9
An introduction to persistent homology for time series	8
A review of N‐mixture models	8
On the safe use of prior densities for Bayesian model selection	8
On semiparametric regression in functional data analysis	8

A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges	7
Statistical inference for stochastic differential equations	7
A spectrum of explainable and interpretable machine learning approaches for genomic studies	6
Volatility and dynamic dependence modeling: Review, applications, and financial risk management	6
Genome‐wide prediction of chromatin accessibility based on gene expression	4
Joint Gaussian graphical model estimation: A survey	4
The how and why of Bayesian nonparametric causal inference	4
Function minimization and nonlinear least squares in R	4
A survey of numerical algorithms that can solve the Lasso problems	4
A review of Monte Carlo and quasi‐Monte Carlo sampling techniques	4
Prediction intervals for Poisson‐based regression models	4
Combining surveys in small area estimation using area‐level models	3
Cluster‐scaled principal component analysis	3
Projection‐based techniques for high‐dimensional optimal transport problems	3
Ordered and censored lifetime data in reliability: An illustrative review	3
Sample and realized minimum variance portfolios: Estimation, statistical inference, and tests	3
A review on computer model calibration	3
Nearest‐neighbor sparse Cholesky matrices in spatial statistics	3
Robust regression using probabilistically linked data	3
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data	3