OOIR: Observatory of International Research

Papers

(The median citation count of Annual Review of Statistics and Its Application is 5. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Hawkes Models and Their Applications	217
Convergence Diagnostics for Entity Resolution	96
Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data	69
Statistics for Animal Tracking Data	65
Statistical Applications to Cognitive Diagnostic Testing	62
Models for Integer Data	56
Model-Based Spatial Data Fusion	52
Sustainable Statistical Capacity-Building for Africa: The Biostatistics Case	48
Geometric Methods for Cosmological Data on the Sphere	43
Change-Point Detection and Its Modern Applications	41
Generative Models: An Interdisciplinary Perspective	35
Competing Risks: Concepts, Methods, and Software	35
Model Diagnostics and Forecast Evaluation for Quantiles	34
Excess Mortality Estimation	28
Making Sense of Censored Covariates: Statistical Methods for Studies of Huntington's Disease	28
Demystifying Inference After Adaptive Experiments	27
Player Tracking Data in Sports	25
Recent Advances in Conditional Extreme Quantile Analysis	21
Generalized Additive Models	21
The Role of the Bayes Factor in the Evaluation of Evidence	20
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models	20
High-Dimensional Gene–Environment Interaction Analysis	20
Deep Spatiotemporal Point Processes: Advances and New Directions	18
Six Statistical Senses	18
Maps: A Statistical View	18

Surrogate Endpoints in Clinical Trials	16
Neural Methods for Amortized Inference	16
Crafting 10 Years of Statistics Explanations: Points of Significance	16
Regression Models with Interval-Censored Variables	13
Operator Learning: A Statistical Perspective	13
Stochastic Models of Rainfall	13
Simulation-Based Bayesian Analysis	13
Disasters, Statistics, and the Humanitarian Sector	12
Models and Rating Systems for Head-to-Head Competition	12
High-Dimensional Data Bootstrap	11
Second-Generation Functional Data	11
Identification and Inference with Invalid Instruments	11
Statistical Modeling of the Ocean Environment	10
Graph-Based Change-Point Analysis	9
The Enemies of Reliable and Useful Clinical Prediction Models: A Review of Statistical and Scientific Challenges	9
Analysis of Tensor Time Series	8
Shape-Constrained Statistical Inference	8
Statistical Brain Network Analysis	8
Model-Based Clustering	8
Measuring the Functioning Human Brain	8
Distributional Regression for Data Analysis	7
The Why and How of Convex Clustering	7
Recent Advances in Text Analysis	7
Reproducibility in the Classroom	6
Statistical Deep Learning for Spatial and Spatiotemporal Data	5
Interpretable Machine Learning for Discovery: Statistical Challenges and Opportunities	5
Bayesian Inference for Misspecified Generative Models	5