OOIR: Observatory of International Research

Papers

(The median citation count of Statistical Science is 2. 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 2022-01-01 to 2026-01-01.)

Article	Citations
A Cheat Sheet for Bayesian Prediction	62
Emerging Directions in Bayesian Computation	54
Being a Public Health Statistician During a Global Pandemic	50
Rejoinder: Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	50
Approximating Bayes in the 21st Century	41
30 Years of Synthetic Data	38
The Dependent Dirichlet Process and Related Models	34
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	27
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	26
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	23
Protecting Classifiers from Attacks	22
Cox Reduction and Confidence Sets of Models: A Theoretical Elucidation	21
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	21
Note on Legendre’s Method of Least Squares	21
Diffusion Schrödinger Bridges for Bayesian Computation	21
Protocols for Observational Studies: Methods and Open Problems	18
Rejoinder: Response-Adaptive Randomization in Clinical Trials	18
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	14
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	14
Meta Representation Learning with Contextual Linear Bandits	14
A Bayesian “Sandwich” for Variance Estimation	13
Comment: Group Sequential Designs with Response-Adaptive Randomisation	13
Distributionally Robust and Generalizable Inference	13
Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	11
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification	11

Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	10
Diffusion Smoothing for Spatial Point Patterns	10
Bayesian Adaptive Randomization with Compound Utility Functions	10
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring	10
Parameter Restrictions for the Sake of Identification: Is There Utility in Asserting That Perhaps a Restriction Holds?	9
Statistical Embedding: Beyond Principal Components	9
Editorial: Special Issue on Reproducibility and Replicability	9
Editorial: Bayesian Computations in the 21st Century	8
A Conversation with Mary E. Thompson	8
Cross-Study Replicability in Cluster Analysis	7
A Conversation with Guido W. Imbens	6
Comment: Response Adaptive Randomization in Practice	6
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning	6
Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis	6
A Conversation with Stephen Portnoy	6
Bayesian Sample Size Determination for Causal Discovery	6
On the Certainty of an Inductive Inference: The Binomial Case	5
Online Multiple Hypothesis Testing	5
Measurement Error Models: From Nonparametric Methods to Deep Neural Networks	5
Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting	5
Game-Theoretic Statistics and Safe Anytime-Valid Inference	5
Demystifying Inferential Models and Confidence Curves: A Fiducial Perspective	5
Comments on Confidence as Likelihood by Pawitan and Lee in Statistical Science, November 2021	5
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic	4
Antoine Gombaud, Chevalier de Méré	4
Power Calculations for Replication Studies	4
Survey on Algorithms for Multi-Index Models	4
Data, Science, and Global Disasters	4
Distributed Bayesian Inference in Massive Spatial Data	4
Choosing Among Notions of Multivariate Depth Statistics	4
Preamble	4
The van Trees Inequality in the Spirit of Hájek and Le Cam	4
Computing Bayes: From Then ‘Til Now	3
The Costs and Benefits of Uniformly Valid Causal Inference with High-Dimensional Nuisance Parameters	3
The Secret Life of I. J. Good	3
Statistical Aspects of the Quantum Supremacy Demonstration	3
A Comparative Tour through the Simulation Algorithms for Max-Stable Processes	3
The Matérn Model: A Journey Through Statistics, Numerical Analysis and Machine Learning	3
Double-Estimation-Friendly Inference for High-Dimensional Misspecified Models	3
Editorial: Special Issue on “Learning Across Distribution Shifts”	3
Principal Fairness for Human and Algorithmic Decision-Making	3
Comment: The Evolution of Items and Responses in IRT	3
Efficient Generalization and Transportation	3
Comment: Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations	3
Past, Present and Future of Software for Bayesian Inference	2
Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood Ratio	2
Performative Prediction: Past and Future	2
Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality	2
In Praise (and Search) of J. V. Uspensky	2
High-Performance Statistical Computing in the Computing Environments of the 2020s	2

Data Science in a Time of Crisis: Lessons from the Pandemic	2
Conversations with Gábor J. Székely	2
The Role of Exchangeability in Causal Inference	2
Catalytic Priors: Using Synthetic Data to Specify Prior Distributions in Bayesian Analysis	2
Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers	2
A Geometric Perspective on Bayesian and Generalized Fiducial Inference	2
A General Construction of Multivariate Dependence Structures with Nonmonotone Mappings and Its Applications	2
Studentization Versus Variance Stabilization: A Simple Way Out of an Old Dilemma	2
Replication Success Under Questionable Research Practices—a Simulation Study	2