Annual Review of Statistics and Its Application

Papers
(The median citation count of Annual Review of Statistics and Its Application is 6. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Convergence Diagnostics for Entity Resolution271
Hawkes Models and Their Applications158
Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data109
Statistical Applications to Cognitive Diagnostic Testing60
Granger Causality: A Review and Recent Advances57
Models for Integer Data45
Sustainable Statistical Capacity-Building for Africa: The Biostatistics Case43
Model-Based Spatial Data Fusion41
Competing Risks: Concepts, Methods, and Software39
Geometric Methods for Cosmological Data on the Sphere32
Current Advances in Neural Networks31
Generative Models: An Interdisciplinary Perspective31
Excess Mortality Estimation30
Making Sense of Censored Covariates: Statistical Methods for Studies of Huntington's Disease28
Model Diagnostics and Forecast Evaluation for Quantiles27
26
Generalized Additive Models24
Demystifying Inference After Adaptive Experiments23
Risk Measures: Robustness, Elicitability, and Backtesting23
Player Tracking Data in Sports23
High-Dimensional Gene–Environment Interaction Analysis21
The Role of the Bayes Factor in the Evaluation of Evidence20
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models20
Value of Information Analysis in Models to Inform Health Policy19
Maps: A Statistical View19
Six Statistical Senses19
Neural Methods for Amortized Inference18
Surrogate Endpoints in Clinical Trials16
Crafting 10 Years of Statistics Explanations: Points of Significance16
Quantum Computing in a Statistical Context16
Simulation-Based Bayesian Analysis14
Post-Selection Inference13
Framing Causal Questions in Life Course Epidemiology13
Discrete Latent Variable Models12
Stochastic Models of Rainfall12
Second-Generation Functional Data11
Is There a Cap on Longevity? A Statistical Review11
Models and Rating Systems for Head-to-Head Competition11
Graph-Based Change-Point Analysis10
High-Dimensional Data Bootstrap10
Causality and the Cox Regression Model10
The Enemies of Reliable and Useful Clinical Prediction Models: A Review of Statistical and Scientific Challenges10
Identification and Inference with Invalid Instruments10
Statistical Brain Network Analysis9
Model-Based Clustering9
Shape-Constrained Statistical Inference8
Recent Advances in Text Analysis7
Basis-Function Models in Spatial Statistics7
Reproducibility in the Classroom7
Measuring the Functioning Human Brain7
Methods Based on Semiparametric Theory for Analysis in the Presence of Missing Data6
Statistical Deep Learning for Spatial and Spatiotemporal Data6
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