OOIR: Observatory of International Research

Papers

(The median citation count of Annual Review of Statistics and Its Application 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 2022-08-01 to 2026-08-01.)

Article	Citations
Convergence Diagnostics for Entity Resolution	235
Hawkes Models and Their Applications	115
Statistical Applications to Cognitive Diagnostic Testing	94
Statistics for Animal Tracking Data	77
Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data	72
Model-Based Spatial Data Fusion	68
Models for Integer Data	56
Sustainable Statistical Capacity-Building for Africa: The Biostatistics Case	56
Geometric Methods for Cosmological Data on the Sphere	47
Change-Point Detection and Its Modern Applications	46
Competing Risks: Concepts, Methods, and Software	42
Model Diagnostics and Forecast Evaluation for Quantiles	38
Generative Models: An Interdisciplinary Perspective	35
Excess Mortality Estimation	31
Making Sense of Censored Covariates: Statistical Methods for Studies of Huntington's Disease	30
Demystifying Inference After Adaptive Experiments	30
Player Tracking Data in Sports	29
Recent Advances in Conditional Extreme Quantile Analysis	24
Generalized Additive Models	24
High-Dimensional Gene–Environment Interaction Analysis	22
Maps: A Statistical View	22
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models	22
The Role of the Bayes Factor in the Evaluation of Evidence	21
Six Statistical Senses	20
Deep Spatiotemporal Point Processes: Advances and New Directions	19

Neural Methods for Amortized Inference	18
Crafting 10 Years of Statistics Explanations: Points of Significance	17
Surrogate Endpoints in Clinical Trials	17
Simulation-Based Bayesian Analysis	15
Stochastic Models of Rainfall	14
Regression Models with Interval-Censored Variables	14
Operator Learning: A Statistical Perspective	14
High-Dimensional Data Bootstrap	13
Models and Rating Systems for Head-to-Head Competition	13
Second-Generation Functional Data	13
Disasters, Statistics, and the Humanitarian Sector	13
Identification and Inference with Invalid Instruments	12
Statistical Modeling of the Ocean Environment	11
Model-Based Clustering	11
Graph-Based Change-Point Analysis	11
The Enemies of Reliable and Useful Clinical Prediction Models: A Review of Statistical and Scientific Challenges	10
Analysis of Tensor Time Series	9
Statistical Brain Network Analysis	9
Reproducibility in the Classroom	8
Shape-Constrained Statistical Inference	8
The Why and How of Convex Clustering	8
Recent Advances in Text Analysis	8
Measuring the Functioning Human Brain	8
Statistical Deep Learning for Spatial and Spatiotemporal Data	7
Bayesian Inference for Misspecified Generative Models	7
Distributional Regression for Data Analysis	7