OOIR: Observatory of International Research

Papers

(The median citation count of Statistical Science 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 2021-02-01 to 2025-02-01.)

Article	Citations
A Conversation with Don Dawson	103
A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio	75
Conversations with Gábor J. Székely	49
Being a Public Health Statistician During a Global Pandemic	47
The Secret Life of I. J. Good	36
30 Years of Synthetic Data	32
Stochastic Approximation: From Statistical Origin to Big-Data, Multidisciplinary Applications	27
Bipartite Causal Inference with Interference	24
Nonparametric Quantile Regression for Time Series with Replicated Observations and Its Application to Climate Data	21
A General Construction of Multivariate Dependence Structures with Nonmonotone Mappings and Its Applications	20
The Role of Exchangeability in Causal Inference	18
A Conversation with Mary E. Thompson	18
Khinchin’s 1929 Paper on Von Mises’ Frequency Theory of Probability	17
Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality	16
The van Trees Inequality in the Spirit of Hájek and Le Cam	15
Editorial: Bayesian Computations in the 21st Century	15
Confidence as Likelihood	15
Double-Estimation-Friendly Inference for High-Dimensional Misspecified Models	14
Comment: Settle the Unsettling: An Inferential Models Perspective	13
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	13
Robust High-Dimensional Factor Models with Applications to Statistical Machine Learning	13
The Dependent Dirichlet Process and Related Models	12
Additive and Multiplicative Effects Network Models	12
A Comparative Tour through the Simulation Algorithms for Max-Stable Processes	12
Emerging Directions in Bayesian Computation	11

Approximating Bayes in the 21st Century	11
The GENIUS Approach to Robust Mendelian Randomization Inference	10
Studentization Versus Variance Stabilization: A Simple Way Out of an Old Dilemma	10
Cross-Study Replicability in Cluster Analysis	10
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing	10
Defining Replicability of Prediction Rules	9
Noncommutative Probability and Multiplicative Cascades	9
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	8
In Praise (and Search) of J. V. Uspensky	7
Comment: On the History and Limitations of Probability Updating	7
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	7
Diffusion Schrödinger Bridges for Bayesian Computation	6
On General Notions of Depth for Regression	6
Rejoinder: Confidence as Likelihood	6
Living on the Edge: An Unified Approach to Antithetic Sampling	6
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss and Simpson’s Paradox	6
Replicability Across Multiple Studies	6
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	6
A Conversation with Raymond J. Carroll	6
A General Framework for Vecchia Approximations of Gaussian Processes	5
Confidence Intervals for Seroprevalence	5
A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach	5
Local scale invariance and robustness of proper scoring rules	5
On Estimation and Inference in Latent Structure Random Graphs	5
Replication Success Under Questionable Research Practices—a Simulation Study	5
Additive Bayesian Variable Selection under Censoring and Misspecification	4
Variable Selection Using Bayesian Additive Regression Trees	4
Statistical Aspects of the Quantum Supremacy Demonstration	4
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	4
Protecting Classifiers from Attacks	4
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning	3
A General Framework for the Analysis of Adaptive Experiments	3
Rejoinder: Response-Adaptive Randomization in Clinical Trials	3
Statistical Frameworks for Oncology Dose-Finding Designs with Late-Onset Toxicities: A Review	3
Note on Legendre’s Method of Least Squares	3
Intention-to-Treat Comparisons in Randomized Trials	3
Revisiting the Gelman–Rubin Diagnostic	3
A Conversation with Guido W. Imbens	3
A Conversation with Stephen Portnoy	3
Tracking Truth Through Measurement and the Spyglass of Statistics	3
Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection	3
Can We Reliably Detect Biases that Matter in Observational Studies?	2
Comment: On Focusing, Soft and Strong Revision of Choquet Capacities and Their Role in Statistics	2
Generally Altered, Inflated, Truncated and Deflated Regression	2
Analyzing Stochastic Computer Models: A Review with Opportunities	2
Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review	2
Rejoinder: Protocols for Observational Studies: Methods and Open Problems	2
Testing Randomness Online	2
Feature Importance: A Closer Look at Shapley Values and LOCO	2
Protocols for Observational Studies: Methods and Open Problems	2

Comment: Group Sequential Designs with Response-Adaptive Randomisation	1
Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion	1
A Unifying Framework of High-Dimensional Sparse Estimation with Difference-of-Convex (DC) Regularizations	1
Principal Fairness for Human and Algorithmic Decision-Making	1
The Costs and Benefits of Uniformly Valid Causal Inference with High-Dimensional Nuisance Parameters	1
A Selective Overview of Deep Learning	1
J. B. S. Haldane’s Rule of Succession	1
Introduction to the Special Section	1
Comment: Is Response-Adaptive Randomization a “Good Thing” or Not in Clinical Trials? Why We Cannot Take Sides	1
Statistical Challenges in Tracking the Evolution of SARS-CoV-2	1
The Matérn Model: A Journey Through Statistics, Numerical Analysis and Machine Learning	1
Comment: Response Adaptive Randomization in Practice	1
Symmetrical and Non-symmetrical Variants of Three-Way Correspondence Analysis for Ordered Variables	1
Computing Bayes: From Then ‘Til Now	1
A Conversation with Dennis Cook	1
Comment: Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations	1
An Introduction to Proximal Causal Inference	1
Distributionally Robust and Generalizable Inference	1
Rejoinder: Let’s Be Imprecise in Order to Be Precise (About What We Don’t Know)	1
Experimental Design in Marketplaces	1
Bayesian Sample Size Determination for Causal Discovery	1
A Statistical Framework for Modern Network Science	1