OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Statistical Software is 14. 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
Learning Base R (2nd Edition)	417
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package	317
Exploring Data Subsets with vtree	196
fairadapt: Causal Reasoning for Fair Data Preprocessing	139
Emulation and History Matching Using the hmer Package	99
The poolr Package for Combining Independent and Dependent p Values	88
openTSNE : A Modular Python Library for t-SNE Dimensionality Reduction and Embedding	88
Spbsampling: An R Package for Spatially Balanced Sampling	78
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials	71
GET: Global Envelopes in R	69
ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models	68
Birth-and-Death Processes in Python: The BirDePy Package	60
pymle: A Python Package for Maximum Likelihood Estimation and Simulation of Stochastic Differential Equations	55
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset	55
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models	46
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R	44
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R	43
stopp: An R Package for Spatio-Temporal Point Pattern Analysis	39
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models	36
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Ra	31
More on Multidimensional Scaling and Unfolding in R: smacof Version 2	30
sparsegl: An R Package for Estimating Sparse Group Lasso	29
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model	29
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations	29
NUBO: A Transparent Python Package for Bayesian Optimization	20

Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK	20
TSCI: Two Stage Curvature Identification for Causal Inference with Invalid Instruments in R	20
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R	20
Estimating Spatial Dynamic Panel Data Models with Unobserved Common Factors in Stata	19
Holistic Generalized Linear Models	19
Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web	19
How to Interpret Statistical Models Using marginaleffects for R and Python	19
GMM Estimators for Binary Spatial Models in R	18
calculus: High-Dimensional Numerical and Symbolic Calculus in R	18
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R	17
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series	17
dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference	16
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments	16
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs	14
mdendro: An R Package for Extended Agglomerative Hierarchical Clustering	14
Additive Bayesian Network Modeling with the R Package abn	14