OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of the American Statistical Association is 24. 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 2022-04-01 to 2026-04-01.)

Article	Citations
Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager	280
Classified Mixed Model Projections	102
Censored Interquantile Regression Model with Time-Dependent Covariates	70
Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event	55
A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence	54
Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”	40
Frequency-Band Estimation of the Number of Factors	39
On Robustness of Individualized Decision Rules	38
Consistent Least Squares Estimation in Population-Size-Dependent Branching Processes	38
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction	37
Totally Concave Regression	37
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off	33
In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior	32
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders	30
The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data	30
Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces	29
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process	28
Handbook of Bayesian, Fiducial, and Frequentist Inference	28
Bayesian Conditional Transformation Models	27
Network Regression and Supervised Centrality Estimation	26
A Latent Variable Approach to Learning High-Dimensional Multivariate Longitudinal Data	26
Inside-out cross-covariance for spatial multivariate data	25
Scalable and robust regression models for continuous proportional data	24
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	24
Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response variables with R and StanModern Applied Regressions: Bayesian and Frequentist Analysis of Categorical	24