OOIR: Observatory of International Research

Papers

(The median citation count of Annual Review of Statistics and Its Application is 4. 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 2021-04-01 to 2025-04-01.)

Article	Citations
Reproducibility in the Classroom	193
Hawkes Models and Their Applications	120
Methods Based on Semiparametric Theory for Analysis in the Presence of Missing Data	79
Designs for Vaccine Studies	48
Stochastic Models of Rainfall	44
Bayesian Inference for Misspecified Generative Models	32
Convergence Diagnostics for Entity Resolution	30
A Brief Tour of Deep Learning from a Statistical Perspective	25
Discrete Latent Variable Models	24
High-Dimensional Gene–Environment Interaction Analysis	24
Shared Frailty Methods for Complex Survival Data: A Review of Recent Advances	19
Relational Event Modeling	19
Role of Statistics in Detecting Misinformation: A Review of the State of the Art, Open Issues, and Future Research Directions	18
An Update on Measurement Error Modeling	18
Distributional Regression for Data Analysis	17
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models	17
Recent Advances in Text Analysis	17
Statistical Deep Learning for Spatial and Spatiotemporal Data	17
A Practical Guide to Family Studies with Lifetime Data	16
Measure Transportation and Statistical Decision Theory	16
Is There a Cap on Longevity? A Statistical Review	16
Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data	15
Statistical Data Integration for Health Policy Evidence-Building	15
Statistical Applications to Cognitive Diagnostic Testing	13
Approximate Methods for Bayesian Computation	12

Communication of Statistics and Evidence in Times of Crisis	10
The Role of the Bayes Factor in the Evaluation of Evidence	10
A Variational View on Statistical Multiscale Estimation	10
Maps: A Statistical View	10
Granger Causality: A Review and Recent Advances	9
Interpretable Machine Learning for Discovery: Statistical Challenges and Opportunities	9
Postprocessing of MCMC	9
Models for Integer Data	8
Six Statistical Senses	7
Sustainable Statistical Capacity-Building for Africa: The Biostatistics Case	7
	7
Perspective on Data Science	7
High-Dimensional Data Bootstrap	6
A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation, and Blackwell's Theorem	6
Fair Risk Algorithms	6
Causal Inference in the Social Sciences	5
Statistics in Phonetics	5
Analysis of Microbiome Data	5
Markov Chain Monte Carlo in Practice	5
Models and Rating Systems for Head-to-Head Competition	5
Value of Information Analysis in Models to Inform Health Policy	5
	4
Manifold Learning: What, How, and Why	4
Geometric Methods for Cosmological Data on the Sphere	4
Second-Generation Functional Data	4
Statistical Machine Learning for Quantitative Finance	4