OOIR: Observatory of International Research

Papers

(The TQCC of Statistical Science is 7. 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 2021-08-01 to 2025-08-01.)

Article	Citations
Being a Public Health Statistician During a Global Pandemic	70
A Cheat Sheet for Bayesian Prediction	48
Rejoinder: Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	43
Approximating Bayes in the 21st Century	36
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	33
The Dependent Dirichlet Process and Related Models	33
Emerging Directions in Bayesian Computation	33
30 Years of Synthetic Data	30
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	28
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	26
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	23
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	22
Protecting Classifiers from Attacks	21
Diffusion Schrödinger Bridges for Bayesian Computation	20
A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach	19
Cox Reduction and Confidence Sets of Models: A Theoretical Elucidation	18
Rejoinder: Response-Adaptive Randomization in Clinical Trials	18
Note on Legendre’s Method of Least Squares	16
Protocols for Observational Studies: Methods and Open Problems	15
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	14
Revisiting the Gelman–Rubin Diagnostic	14
Distributionally Robust and Generalizable Inference	14
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	13
Comment: Group Sequential Designs with Response-Adaptive Randomisation	13
A Bayesian “Sandwich” for Variance Estimation	12

On the Use of Auxiliary Variables in Multilevel Regression and Poststratification	12
Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	12
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	11
Diffusion Smoothing for Spatial Point Patterns	11
Bayesian Adaptive Randomization with Compound Utility Functions	11
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring	10
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables	10
Statistical Embedding: Beyond Principal Components	9
Editorial: Special Issue on Reproducibility and Replicability	9
A Conversation with Mary E. Thompson	8
Cross-Study Replicability in Cluster Analysis	8
Khinchin’s 1929 Paper on Von Mises’ Frequency Theory of Probability	8
Editorial: Bayesian Computations in the 21st Century	8
Parameter Restrictions for the Sake of Identification: Is There Utility in Asserting That Perhaps a Restriction Holds?	8
A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio	8
A Conversation with Guido W. Imbens	7