Most-cited Mathematics papers of 2019, with free PDFs

The 25 most-cited Mathematics research papers published in 2019, ranked by citations in OpenAlex, with their original abstracts and free PDFs where available.

1. Moving to a World Beyond “ p < 0.05”
   Ron Wasserstein, Allen L. Schirm et al. · 2019 · 2,983 citations
2. Multicollinearity and misleading statistical results
   Jonghae Kim · 2019 · 2,829 citations
3. Descriptive statistics and normality tests for statistical data
   Anshul Gupta, Prabhakar Mishra et al. · 2019 · 2,617 citations
4. Calibration: the Achilles heel of predictive analytics
   On behalf of Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative, Ben VAN CALSTER et al. · 2019 · 2,431 citations · Free PDF
5. Computational Optimal Transport with Applications to Data Sciences
   Gabriel Peyré, Marco Cuturi · 2019 · 2,335 citations
6. Generalized random forests
   Susan Carleton Athey, Julie Tibshirani et al. · 2019 · 1,914 citations · Free PDF
7. How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
   Jose Benitez, Jörg Henseler et al. · 2019 · 1,772 citations
8. Why Propensity Scores Should Not Be Used for Matching
   Gary King, Richard A. Nielsen · 2019 · 1,672 citations
9. Hyperparameters and tuning strategies for random forest
   Philipp Probst, Marvin N. Wright et al. · 2019 · 1,641 citations · Free PDF
10. Principles of confounder selection
    Tyler J. VanderWeele · 2019 · 1,520 citations · Free PDF
11. bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework
    Dominique Makowski, Mattan S. Ben‐Shachar et al. · 2019 · 1,501 citations · Free PDF
12. Using simulation studies to evaluate statistical methods
    Tim P. Morris, Ian R. White et al. · 2019 · 1,303 citations · Free PDF
13. Statistical predictions with glmnet
    Solveig Engebretsen, Jon Bohlin · 2019 · 1,205 citations · Free PDF
14. Hierarchical generalized additive models in ecology: an introduction with mgcv
    Eric J. Pedersen, David L. Miller et al. · 2019 · 1,202 citations
15. Elasticities and the Inverse Hyperbolic Sine Transformation
    Marc F. Bellemare, Casey J. Wichman · 2019 · 1,189 citations
16. Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm
    Canyi Lu, Jiashi Feng et al. · 2019 · 1,159 citations
17. Machine Learning Methods That Economists Should Know About
    Susan Carleton Athey, Guido W. Imbens · 2019 · 1,153 citations
18. A simple, step-by-step guide to interpreting decision curve analysis
    Andrew Julian Vickers, Ben VAN CALSTER et al. · 2019 · 1,147 citations · Free PDF
19. Visualization in Bayesian Workflow
    Jonah Gabry, Daniel Simpson et al. · 2019 · 1,094 citations · Free PDF
20. Metalearners for estimating heterogeneous treatment effects using machine learning
    Sören R. Künzel, Jasjeet Singh Sekhon et al. · 2019 · 1,075 citations · Free PDF
21. Making Sense of Sensitivity: Extending Omitted Variable Bias
    Carlos Cinelli, Chad J. Hazlett · 2019 · 1,070 citations
22. The proportion of missing data should not be used to guide decisions on multiple imputation
    Paul Madley‐Dowd, Rachael A. Hughes et al. · 2019 · 1,060 citations
23. Balance diagnostics after propensity score matching
    Zhongheng Zhang, Hwa Jung Kim et al. · 2019 · 1,031 citations
24. Using simulation studies to evaluate statistical methods
    Morris, TP, White, I et al. · 2019 · 1,022 citations
25. Conditional Process Analysis: Concepts, Computation, and Advances in the Modeling of the Contingencies of Mechanisms
    Andrew F. Hayes, Nicholas Rockwood · 2019 · 1,009 citations

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