Annual Review of Statistics and Its Application

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 2022-05-01 to 2026-05-01.)
ArticleCitations
Convergence Diagnostics for Entity Resolution207
Hawkes Models and Their Applications92
Statistical Applications to Cognitive Diagnostic Testing68
Statistics for Animal Tracking Data61
Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data60
Sustainable Statistical Capacity-Building for Africa: The Biostatistics Case46
Models for Integer Data46
Geometric Methods for Cosmological Data on the Sphere41
Model-Based Spatial Data Fusion41
Change-Point Detection and Its Modern Applications39
Competing Risks: Concepts, Methods, and Software35
Generative Models: An Interdisciplinary Perspective34
Model Diagnostics and Forecast Evaluation for Quantiles30
Making Sense of Censored Covariates: Statistical Methods for Studies of Huntington's Disease28
Excess Mortality Estimation27
Demystifying Inference After Adaptive Experiments26
Player Tracking Data in Sports22
High-Dimensional Gene–Environment Interaction Analysis20
Recent Advances in Conditional Extreme Quantile Analysis20
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models20
Generalized Additive Models20
The Role of the Bayes Factor in the Evaluation of Evidence18
Maps: A Statistical View18
Six Statistical Senses18
Deep Spatiotemporal Point Processes: Advances and New Directions17
Neural Methods for Amortized Inference16
Crafting 10 Years of Statistics Explanations: Points of Significance16
Simulation-Based Bayesian Analysis16
Surrogate Endpoints in Clinical Trials13
Stochastic Models of Rainfall12
Regression Models with Interval-Censored Variables12
Operator Learning: A Statistical Perspective12
Second-Generation Functional Data11
Models and Rating Systems for Head-to-Head Competition11
Disasters, Statistics, and the Humanitarian Sector11
High-Dimensional Data Bootstrap10
Identification and Inference with Invalid Instruments10
The Enemies of Reliable and Useful Clinical Prediction Models: A Review of Statistical and Scientific Challenges10
Graph-Based Change-Point Analysis9
Statistical Modeling of the Ocean Environment8
Measuring the Functioning Human Brain8
Model-Based Clustering8
Shape-Constrained Statistical Inference8
Analysis of Tensor Time Series7
Statistical Brain Network Analysis7
Distributional Regression for Data Analysis6
Bayesian Inference for Misspecified Generative Models6
Statistical Deep Learning for Spatial and Spatiotemporal Data6
The Why and How of Convex Clustering6
Reproducibility in the Classroom5
Recent Advances in Text Analysis5
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