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 2020-05-01 to 2024-05-01.)

Article	Citations
Challenges and opportunities beyond structured data in analysis of electronic health records	83
30 Years of space–time covariance functions	46
Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey	42
Advances in statistical modeling of spatial extremes	33
Aggregating predictions from experts: A review of statistical methods, experiments, and applications	28
Robust linear regression for high‐dimensional data: An overview	28
Ordinal regression: A review and a taxonomy of models	23
A review of normalization and differential abundance methods for microbiome counts data	18
Critical review of bio‐inspired optimization techniques	16
Bayesian and frequentist testing for differences between two groups with parametric and nonparametric two‐sample tests	15
Conway–Maxwell–Poisson regression models for dispersed count data	14
Particle swarm optimization for searching efficient experimental designs: A review	14
Stability estimation for unsupervised clustering: A review	14
Cluster analysis: A modern statistical review	14
A review of second‐order blind identification methods	13
A review of h‐likelihood and hierarchical generalized linear model	12
Community detection in complex networks: From statistical foundations to data science applications	12
Competing risks analysis for discrete time‐to‐event data	11
Regression with linked datasets subject to linkage error	11
From object detection to text detection and recognition: A brief evolution history of optical character recognition	10
Adversarial risk analysis: An overview	10
Zero‐inflated modeling part I: Traditional zero‐inflated count regression models, their applications, and computational tools	10
Differential equations in data analysis	9
Copulae: An overview and recent developments	8
A review study of functional autoregressive models with application to energy forecasting	7

Integrative clustering methods for multi‐omics data	7
A review of recent advances in empirical likelihood	7
A review on authorship attribution in text mining	7
Big ideas in sports analytics and statistical tools for their investigation	7
An introduction to persistent homology for time series	7
Parallel computing with R: A brief review	7
Data analysis on nonstandard spaces	6
On semiparametric regression in functional data analysis	6
Volatility and dynamic dependence modeling: Review, applications, and financial risk management	6
On the safe use of prior densities for Bayesian model selection	5
A spectrum of explainable and interpretable machine learning approaches for genomic studies	5
Deep learning: Computational aspects	5
Computational techniques for parameter estimation of gravitational wave signals	4
Joint Gaussian graphical model estimation: A survey	4
Function minimization and nonlinear least squares in R	4
Data integration in causal inference	4
The how and why of Bayesian nonparametric causal inference	4
Genome‐wide prediction of chromatin accessibility based on gene expression	4