OOIR: Observatory of International Research

Papers

(The TQCC of Statistical Science is 6. 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
Rejoinder: Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	50
Being a Public Health Statistician During a Global Pandemic	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
Editorial: Special Issue on Reproducibility and Replicability	9
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: 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