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 2021-12-01 to 2025-12-01.)

Article	Citations
Convergence Diagnostics for Entity Resolution	329
Hawkes Models and Their Applications	171
Statistics for Animal Tracking Data	128
Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data	73
Statistical Applications to Cognitive Diagnostic Testing	63
Granger Causality: A Review and Recent Advances	56
Model-Based Spatial Data Fusion	50
Sustainable Statistical Capacity-Building for Africa: The Biostatistics Case	50
Models for Integer Data	42
Change-Point Detection and Its Modern Applications	39
Current Advances in Neural Networks	37
Geometric Methods for Cosmological Data on the Sphere	36
Competing Risks: Concepts, Methods, and Software	35
Generative Models: An Interdisciplinary Perspective	34
Making Sense of Censored Covariates: Statistical Methods for Studies of Huntington's Disease	31
Excess Mortality Estimation	31
Model Diagnostics and Forecast Evaluation for Quantiles	28
Demystifying Inference After Adaptive Experiments	26
	25
Risk Measures: Robustness, Elicitability, and Backtesting	25
Player Tracking Data in Sports	24
Generalized Additive Models	23
High-Dimensional Gene–Environment Interaction Analysis	22
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models	22
Maps: A Statistical View	21

The Role of the Bayes Factor in the Evaluation of Evidence	21
Six Statistical Senses	19
Value of Information Analysis in Models to Inform Health Policy	18
Neural Methods for Amortized Inference	17
Simulation-Based Bayesian Analysis	16
Crafting 10 Years of Statistics Explanations: Points of Significance	16
Quantum Computing in a Statistical Context	15
Surrogate Endpoints in Clinical Trials	15
Post-Selection Inference	14
Framing Causal Questions in Life Course Epidemiology	14
Operator Learning: A Statistical Perspective	14
Discrete Latent Variable Models	13
Regression Models with Interval-Censored Variables	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	12
Stochastic Models of Rainfall	12
Second-Generation Functional Data	11
High-Dimensional Data Bootstrap	11
Identification and Inference with Invalid Instruments	10
Graph-Based Change-Point Analysis	9
Model-Based Clustering	9
Causality and the Cox Regression Model	9
The Enemies of Reliable and Useful Clinical Prediction Models: A Review of Statistical and Scientific Challenges	8
Measuring the Functioning Human Brain	7
Shape-Constrained Statistical Inference	7
Methods Based on Semiparametric Theory for Analysis in the Presence of Missing Data	7
Statistical Brain Network Analysis	7
Basis-Function Models in Spatial Statistics	7
Analysis of Tensor Time Series	7
Reproducibility in the Classroom	6
Bayesian Inference for Misspecified Generative Models	6
Recent Advances in Text Analysis	6
Measure Transportation and Statistical Decision Theory	6
Distributional Regression for Data Analysis	6
Statistical Deep Learning for Spatial and Spatiotemporal Data	6