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 2020-05-01 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
Robust linear regression for high‐dimensional data: An overview	28
Aggregating predictions from experts: A review of statistical methods, experiments, and applications	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
Stability estimation for unsupervised clustering: A review	14
Cluster analysis: A modern statistical review	14
Conway–Maxwell–Poisson regression models for dispersed count data	14
Particle swarm optimization for searching efficient experimental designs: 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
Competing risks analysis for discrete time‐to‐event data	11
Regression with linked datasets subject to linkage error	11
Zero‐inflated modeling part I: Traditional zero‐inflated count regression models, their applications, and computational tools	10
From object detection to text detection and recognition: A brief evolution history of optical character recognition	10
Adversarial risk analysis: An overview	10
Differential equations in data analysis	9
Copulae: An overview and recent developments	8
An introduction to persistent homology for time series	7

Parallel computing with R: A brief review	7
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
Volatility and dynamic dependence modeling: Review, applications, and financial risk management	6
Data analysis on nonstandard spaces	6
On semiparametric regression in functional data analysis	6
Deep learning: Computational aspects	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
The how and why of Bayesian nonparametric causal inference	4
Genome‐wide prediction of chromatin accessibility based on gene expression	4
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
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
A survey of numerical algorithms that can solve the Lasso problems	3
Ordered and censored lifetime data in reliability: An illustrative review	3
Information criteria for model selection	3
A review of N‐mixture models	3
Combining surveys in small area estimation using area‐level models	2
Prediction intervals for Poisson‐based regression models	2
Statistical inference for stochastic differential equations	2
Improving the Gibbs sampler	2
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Zero‐inflated modeling part II: Zero‐inflated models for complex data structures	2
Why BDeu? Regular Bayesian network structure learning with discrete and continuous variables	2
Nearest‐neighbor sparse Cholesky matrices in spatial statistics	2
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data	2
The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data	2
A review of Bayesian group selection approaches for linear regression models	1
Sampling constrained continuous probability distributions: A review	1
Cover Image	1
Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study	1
Detecting clusters in multivariate response regression	1
Computational aspects of stable distributions	1
Document clustering	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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Bayesian mixture models for cytometry data analysis	1

Error control in tree structured hypothesis testing	1
Unsupervised clustering using nonparametric finite mixture models	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
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Robust regression using probabilistically linked data	1
Cluster‐scaled principal component analysis	1
Statistical methods for gene–environment interaction analysis	1
Functional neuroimaging in the era of Big Data and Open Science: A modern overview	1
SAREV: A review on statistical analytics of single‐cell RNA sequencing data	1