OOIR: Observatory of International Research

Papers

(The median citation count of Wiley Interdisciplinary Reviews-Computational Statistics is 1. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Challenges and opportunities beyond structured data in analysis of electronic health records	80
30 Years of space–time covariance functions	46
Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey	40
Advances in statistical modeling of spatial extremes	32
Aggregating predictions from experts: A review of statistical methods, experiments, and applications	28
Robust linear regression for high‐dimensional data: An overview	26
Ordinal regression: A review and a taxonomy of models	22
Differential network analysis: A statistical perspective	21
Adversarial machine learning for cybersecurity and computer vision: Current developments and challenges	17
A review of normalization and differential abundance methods for microbiome counts data	16
Critical review of bio‐inspired optimization techniques	16
Conway–Maxwell–Poisson regression models for dispersed count data	14
Bayesian and frequentist testing for differences between two groups with parametric and nonparametric two‐sample tests	14
Particle swarm optimization for searching efficient experimental designs: A review	14
Stability estimation for unsupervised clustering: A review	14
A review of second‐order blind identification methods	13
Community detection in complex networks: From statistical foundations to data science applications	12
A review of h‐likelihood and hierarchical generalized linear model	12
Cluster analysis: A modern statistical review	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
Competing risks analysis for discrete time‐to‐event data	10
Adversarial risk analysis: An overview	10
Zero‐inflated modeling part I: Traditional zero‐inflated count regression models, their applications, and computational tools	9
Differential equations in data analysis	8

Copulae: An overview and recent developments	8
Integrative clustering methods for multi‐omics data	7
A review on authorship attribution in text mining	7
An introduction to persistent homology for time series	7
Volatility and dynamic dependence modeling: Review, applications, and financial risk management	6
Parallel computing with R: A brief review	6
Data analysis on nonstandard spaces	6
A review of recent advances in empirical likelihood	6
Deep learning: Computational aspects	5
On semiparametric regression in functional data analysis	5
Big ideas in sports analytics and statistical tools for their investigation	5
A review study of functional autoregressive models with application to energy forecasting	5
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
Genome‐wide prediction of chromatin accessibility based on gene expression	4
Function minimization and nonlinear least squares in R	4
Computational techniques for parameter estimation of gravitational wave signals	4
Joint Gaussian graphical model estimation: A survey	4
Item response theory and its applications in educational measurement Part I: Item response theory and its implementation in R	3
Projection‐based techniques for high‐dimensional optimal transport problems	3
Sample and realized minimum variance portfolios: Estimation, statistical inference, and tests	3
Data integration in causal inference	3
Ordered and censored lifetime data in reliability: An illustrative review	3
Information criteria for model selection	3
Statistical inference for stochastic differential equations	2
Nearest‐neighbor sparse Cholesky matrices in spatial statistics	2
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data	2
A review of N‐mixture models	2
Why BDeu? Regular Bayesian network structure learning with discrete and continuous variables	2
The how and why of Bayesian nonparametric causal inference	2
Combining surveys in small area estimation using area‐level models	2
Zero‐inflated modeling part II: Zero‐inflated models for complex data structures	2
A survey of numerical algorithms that can solve the Lasso problems	2
The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data	2
Improving the Gibbs sampler	2
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Prediction intervals for Poisson‐based regression models	2
Computational aspects of stable distributions	1
Error control in tree structured hypothesis testing	1
SAREV: A review on statistical analytics of single‐cell RNA sequencing data	1
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging	1
A journey from univariate to multivariate functional time series: A comprehensive review	1
A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models	1
Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study	1
Robust regression using probabilistically linked data	1
Bayesian mixture models for cytometry data analysis	1
Functional neuroimaging in the era of Big Data and Open Science: A modern overview	1
Unsupervised clustering using nonparametric finite mixture models	1
A review of Bayesian group selection approaches for linear regression models	1
Sampling constrained continuous probability distributions: A review	1

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Cluster‐scaled principal component analysis	1
Detecting clusters in multivariate response regression	1
Statistical methods for gene–environment interaction analysis	1
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A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges	1
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis	1
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Sequential change‐point detection: Computation versus statistical performance	1
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