OOIR: Observatory of International Research

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 2021-11-01 to 2025-11-01.)

Article	Citations
Convergence Diagnostics for Entity Resolution	307
Hawkes Models and Their Applications	167
Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data	123
Statistical Applications to Cognitive Diagnostic Testing	71
Granger Causality: A Review and Recent Advances	60
Models for Integer Data	55
Sustainable Statistical Capacity-Building for Africa: The Biostatistics Case	48
Model-Based Spatial Data Fusion	46
Change-Point Detection and Its Modern Applications	42
Competing Risks: Concepts, Methods, and Software	38
Geometric Methods for Cosmological Data on the Sphere	35
Current Advances in Neural Networks	35
Generative Models: An Interdisciplinary Perspective	34
Excess Mortality Estimation	31
Making Sense of Censored Covariates: Statistical Methods for Studies of Huntington's Disease	31
Demystifying Inference After Adaptive Experiments	28
Model Diagnostics and Forecast Evaluation for Quantiles	28
Generalized Additive Models	25
Risk Measures: Robustness, Elicitability, and Backtesting	25
	24
Player Tracking Data in Sports	24
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models	22
High-Dimensional Gene–Environment Interaction Analysis	21
Maps: A Statistical View	21
The Role of the Bayes Factor in the Evaluation of Evidence	21

Six Statistical Senses	21
Value of Information Analysis in Models to Inform Health Policy	19
Neural Methods for Amortized Inference	18
Crafting 10 Years of Statistics Explanations: Points of Significance	17
Quantum Computing in a Statistical Context	16
Regression Models with Interval-Censored Variables	14
Surrogate Endpoints in Clinical Trials	14
Post-Selection Inference	14
Simulation-Based Bayesian Analysis	14
Framing Causal Questions in Life Course Epidemiology	14
Stochastic Models of Rainfall	13
Discrete Latent Variable Models	13
Is There a Cap on Longevity? A Statistical Review	12
Disasters, Statistics, and the Humanitarian Sector	12
Models and Rating Systems for Head-to-Head Competition	11
High-Dimensional Data Bootstrap	11
Second-Generation Functional Data	11
Identification and Inference with Invalid Instruments	11
The Enemies of Reliable and Useful Clinical Prediction Models: A Review of Statistical and Scientific Challenges	10
Graph-Based Change-Point Analysis	10
Causality and the Cox Regression Model	9
Model-Based Clustering	8
Basis-Function Models in Spatial Statistics	7
Measuring the Functioning Human Brain	7
Recent Advances in Text Analysis	7
Analysis of Tensor Time Series	7
Statistical Brain Network Analysis	7
Methods Based on Semiparametric Theory for Analysis in the Presence of Missing Data	7
Shape-Constrained Statistical Inference	7
Reproducibility in the Classroom	6
Bayesian Inference for Misspecified Generative Models	6
Measure Transportation and Statistical Decision Theory	6
Statistical Deep Learning for Spatial and Spatiotemporal Data	6
Distributional Regression for Data Analysis	6