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 2020-11-01 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
Review on functional data classification	2
Bayesian modeling of multivariate time series of counts	2
Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging	2
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis	2
Computational aspects of stable distributions	2
Error control in tree structured hypothesis testing	2
The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data	2
Why BDeu? Regular Bayesian network structure learning with discrete and continuous variables	2
Hate speech detection in social media: Techniques, recent trends, and future challenges	2
	2
Zero‐inflatedmodeling partII:Zero‐inflatedmodels for complex data structures	2
Advancing microdata privacy protection: A review of synthetic data methods	2
Improving the Gibbs sampler	2
Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study	2
Subgroup analysis and adaptive experiments crave for debiasing	1
A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models	1
	1
Sequential change‐point detection: Computation versus statistical performance	1
Detecting clusters in multivariate response regression	1
Recent methods on short text stream clustering: A survey study	1
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)	1
SAREV: A review on statistical analytics of single‐cell RNA sequencing data	1
Robust clustering based on trimming	1
Sampling constrained continuous probability distributions: A review	1
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	1
A Bayesian theory of mind approach to modeling cooperation and communication	1
A survey on post‐quantum based approaches for edge computing security	1
Functional neuroimaging in the era of Big Data and Open Science: A modern overview	1
Document clustering	1

Delta method, asymptotic distribution	1
Item response theory and its applications in educational measurement Part II: Theory and practices of test equating in item response theory	1
A journey from univariate to multivariate functional time series: A comprehensive review	1
	1
Sequential Monte Carlo optimization and statistical inference	1
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Statistical methods for gene–environment interaction analysis	1
Unsupervised clustering using nonparametric finite mixture models	1
A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations	1