Most-cited Mathematics papers of 2023, with free PDFs

The 25 most-cited Mathematics research papers published in 2023, ranked by citations in OpenAlex, with their original abstracts and free PDFs where available.

1. Variational Inference: A Review for Statisticians
   David M. Blei, Alp Kucukelbir et al. · 2023 · 2,010 citations
2. A More Credible Approach to Parallel Trends
   Ashesh Rambachan, Jonathan Roth · 2023 · 1,486 citations
3. Logs with Zeros? Some Problems and Solutions
   Jiafeng Chen, Jonathan Roth · 2023 · 976 citations
4. PyMC: a modern, and comprehensive probabilistic programming framework in Python
   Oriol Abril-Pla, Virgile Andreani et al. · 2023 · 880 citations
5. Machine Learning in Environmental Research: Common Pitfalls and Best Practices
   Jun‐Jie Zhu, Meiqi Yang et al. · 2023 · 675 citations
6. A review on longitudinal data analysis with random forest
   Jianchang Hu, Silke Szymczak · 2023 · 671 citations · Free PDF
7. Elastic Net Regularization Paths for All Generalized Linear Models
   Jingyi Kenneth Tay, Balasubramanian Narasimhan et al. · 2023 · 656 citations · Free PDF
8. Cross-Validation: What Does It Estimate and How Well Does It Do It?
   Stephen Bates, Trevor Hastie et al. · 2023 · 452 citations · Free PDF
9. Emulation of Randomized Clinical Trials With Nonrandomized Database Analyses
   Shirley V. Wang, Sebastian Schneeweiß et al. · 2023 · 418 citations
10. Evaluation of a decided sample size in machine learning applications
    Daniyal Rajput, Wei-Jen Wang et al. · 2023 · 408 citations · Free PDF
11. An Introductory Guide to Event Study Models
    Douglas L. Miller · 2023 · 356 citations
12. Why the Cross-Lagged Panel Model Is Almost Never the Right Choice
    Richard E. Lucas · 2023 · 346 citations
13. Conformal prediction beyond exchangeability
    Rina Foygel Barber, Emmanuel J. Candès et al. · 2023 · 294 citations · Free PDF
14. There is no such thing as a validated prediction model
    Ben VAN CALSTER, Ewout Willem Steyerberg et al. · 2023 · 275 citations · Free PDF
15. Simple approaches to nonlinear difference-in-differences with panel data
    Jeffrey M. Wooldridge · 2023 · 230 citations
16. How Many Participants Do I Need to Test an Interaction? Conducting an Appropriate Power Analysis and Achieving Sufficient Power to Detect an Interaction
    Nicolas Sommet, David L. Weissman et al. · 2023 · 229 citations
17. These Are Not the Effects You Are Looking for: Causality and the Within-/Between-Persons Distinction in Longitudinal Data Analysis
    Julia M. Rohrer, Kou Murayama · 2023 · 226 citations
18. Placebo Tests for Causal Inference
    Andrew C. Eggers, Guadalupe Tuñón et al. · 2023 · 223 citations
19. On event studies and distributed‐lags in two‐way fixed effects models: Identification, equivalence, and generalization
    Kurt Schmidheiny, Sebastian Siegloch · 2023 · 216 citations
20. Practical advice on variable selection and reporting using Akaike information criterion
    Chris S. Sutherland, Darragh Hare et al. · 2023 · 209 citations
21. Non-normal Data in Repeated Measures ANOVA: Impact on Type I Error and Power
    María J. Blanca, Jaume Arnau et al. · 2023 · 204 citations
22. Stability of clinical prediction models developed using statistical or machine learning methods
    Richard D Riley, Professor Gary S. Collins · 2023 · 200 citations · Free PDF
23. Use and misuse of corrections for multiple testing
    Miguel Ángel García-Pérez · 2023 · 193 citations
24. Extension of the glmm.hp package to zero-inflated generalized linear mixed models and multiple regression
    Jiangshan Lai, Weijie Zhu et al. · 2023 · 193 citations
25. Best practices for addressing missing data through multiple imputation
    Adrienne D. Woods, Daria Gerasimova et al. · 2023 · 192 citations · Free PDF

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