OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Statistical Software is 12. 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 2021-07-01 to 2025-07-01.)

Article	Citations
fairadapt: Causal Reasoning for Fair Data Preprocessing	280
Learning Base R (2nd Edition)	215
Emulation and History Matching Using the hmer Package	96
The poolr Package for Combining Independent and Dependent p Values	73
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package	71
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding	68
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset	59
Spbsampling: An R Package for Spatially Balanced Sampling	56
ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models	54
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials	50
Birth-and-Death Processes in Python: The BirDePy Package	50
GET: Global Envelopes in R	45
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R	42
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Ra	36
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models	35
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models	27
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations	25
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R	23
More on Multidimensional Scaling and Unfolding in R: smacof Version 2	22
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model	20
sparsegl: An R Package for Estimating Sparse Group Lasso	19
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R	18
Holistic Generalized Linear Models	17
How to Interpret Statistical Models Using marginaleffects for R and Python	16
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK	16

bizicount: Bivariate Zero-Inflated Count Copula Regression Using R	15
Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web	15
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series	15
calculus: High-Dimensional Numerical and Symbolic Calculus in R	14
GMM Estimators for Binary Spatial Models in R	14
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments	13
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs	13
Modeling Population Growth in R with the biogrowth Package	12
Additive Bayesian Network Modeling with the R Package abn	12
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes	12
Elastic Net Regularization Paths for All Generalized Linear Models	12