OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Statistical Software is 23. 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
Learning Base R (2nd Edition)	365
Emulation and History Matching Using the hmer Package	288
Exploring Data Subsets with vtree	150
fairadapt: Causal Reasoning for Fair Data Preprocessing	128
The poolr Package for Combining Independent and Dependent p Values	83
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package	83
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding	67
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset	66
Spbsampling: An R Package for Spatially Balanced Sampling	65
GET: Global Envelopes in R	62
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials	57
ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models	52
Birth-and-Death Processes in Python: The BirDePy Package	51
pymle: A Python Package for Maximum Likelihood Estimation and Simulation of Stochastic Differential Equations	49
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models	42
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models	41
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R	41
stopp: An R Package for Spatio-Temporal Point Pattern Analysis	34
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R	32
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Ra	27
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations	26
More on Multidimensional Scaling and Unfolding in R: smacof Version 2	26
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model	24
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R	23