OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Statistical Software is 10. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Exploring Data Subsets with vtree	526
Emulation and History Matching Using the hmer Package	424
fairadapt: Causal Reasoning for Fair Data Preprocessing	355
openTSNE : A Modular Python Library for t-SNE Dimensionality Reduction and Embedding	285
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset	179
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials	65
equateMultiple : An R Package to Equate Multiple Forms	60
Birth-and-Death Processes in Python: The BirDePy Package	56
GET: Global Envelopes in R	40
pymle: A Python Package for Maximum Likelihood Estimation and Simulation of Stochastic Differential Equations	36
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R	35
SMLE : An R Package for Joint Feature Screening in Ultrahigh-Dimensional GLMs	34
stopp: An R Package for Spatio-Temporal Point Pattern Analysis	25
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models	23
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations	22
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R	22
Holistic Generalized Linear Models	21
sparsegl: An R Package for Estimating Sparse Group Lasso	21
NUBO: A Transparent Python Package for Bayesian Optimization	20
TSCI: Two Stage Curvature Identification for Causal Inference with Invalid Instruments in R	19
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK	16
Estimating Spatial Dynamic Panel Data Models with Unobserved Common Factors in Stata	15
counterfactuals : An R Package for Counterfactual Explanation Methods	14
How to Interpret Statistical Models Using marginaleffects for R and Python	13
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R	12

dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference	11
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series	11
GMM Estimators for Binary Spatial Models in R	11
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments	10
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs	10