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 2022-01-01 to 2026-01-01.)

Article	Citations
Convergence Diagnostics for Entity Resolution	354
Hawkes Models and Their Applications	178
Statistics for Animal Tracking Data	130
Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data	77
Granger Causality: A Review and Recent Advances	64
Statistical Applications to Cognitive Diagnostic Testing	64
Sustainable Statistical Capacity-Building for Africa: The Biostatistics Case	52
Model-Based Spatial Data Fusion	50
Models for Integer Data	44
Change-Point Detection and Its Modern Applications	43
Current Advances in Neural Networks	38
Geometric Methods for Cosmological Data on the Sphere	38
Competing Risks: Concepts, Methods, and Software	38
Making Sense of Censored Covariates: Statistical Methods for Studies of Huntington's Disease	37
Model Diagnostics and Forecast Evaluation for Quantiles	33
Generative Models: An Interdisciplinary Perspective	31
Excess Mortality Estimation	28
Demystifying Inference After Adaptive Experiments	27
Risk Measures: Robustness, Elicitability, and Backtesting	26
	26
Generalized Additive Models	25
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models	23
Player Tracking Data in Sports	23
High-Dimensional Gene–Environment Interaction Analysis	22
The Role of the Bayes Factor in the Evaluation of Evidence	22

Maps: A Statistical View	21
Six Statistical Senses	20
Deep Spatiotemporal Point Processes: Advances and New Directions	18
Value of Information Analysis in Models to Inform Health Policy	18
Simulation-Based Bayesian Analysis	17
Neural Methods for Amortized Inference	17
Crafting 10 Years of Statistics Explanations: Points of Significance	16
Quantum Computing in a Statistical Context	15
Surrogate Endpoints in Clinical Trials	15
Operator Learning: A Statistical Perspective	14
Framing Causal Questions in Life Course Epidemiology	14
Post-Selection Inference	14
Discrete Latent Variable Models	13
Regression Models with Interval-Censored Variables	13
Stochastic Models of Rainfall	13
Disasters, Statistics, and the Humanitarian Sector	12
Second-Generation Functional Data	12
Is There a Cap on Longevity? A Statistical Review	12
Models and Rating Systems for Head-to-Head Competition	11
High-Dimensional Data Bootstrap	11
Graph-Based Change-Point Analysis	10
Identification and Inference with Invalid Instruments	10
Causality and the Cox Regression Model	9
Model-Based Clustering	9
The Enemies of Reliable and Useful Clinical Prediction Models: A Review of Statistical and Scientific Challenges	9
Basis-Function Models in Spatial Statistics	8
Analysis of Tensor Time Series	8
Shape-Constrained Statistical Inference	8
Methods Based on Semiparametric Theory for Analysis in the Presence of Missing Data	7
Statistical Deep Learning for Spatial and Spatiotemporal Data	7
Statistical Brain Network Analysis	7
Reproducibility in the Classroom	7
Measuring the Functioning Human Brain	7
Measure Transportation and Statistical Decision Theory	6
Distributional Regression for Data Analysis	6
The Why and How of Convex Clustering	6
Recent Advances in Text Analysis	6
Bayesian Inference for Misspecified Generative Models	6