Most-cited Mathematics papers of 2018, with free PDFs

The 25 most-cited Mathematics research papers published in 2018, ranked by citations in OpenAlex, with their original abstracts and free PDFs where available.

1. Advanced Bayesian Multilevel Modeling with the R Package brms
   Paul‐Christian Bürkner · 2018 · 3,038 citations · Free PDF
2. An Introduction to Statistical Learning: with Applications in R
   Gareth M. James, Daniela Witten et al. · 2018 · 2,937 citations
3. A brief introduction to mixed effects modelling and multi-model inference in ecology
   Xavier A. Harrison, Lynda Donaldson et al. · 2018 · 2,080 citations
4. Artificial intelligence and statistics
   Bin Yu, Karl Kumbier · 2018 · 1,993 citations
5. Nonlinear Potential Theory of Degenerate Elliptic Equations
   Juha Heinonen, Tero Kilpeläinen et al. · 2018 · 1,765 citations
6. Variable selection – A review and recommendations for the practicing statistician
   Georg Heinze, Christine Wallisch et al. · 2018 · 1,645 citations
7. Randomised controlled trials – the gold standard for effectiveness research
   Eduardo Hariton, Joseph J. Locascio · 2018 · 1,596 citations
8. Equivalence Testing for Psychological Research: A Tutorial
   Daniël Lakens, Anne M. Scheel et al. · 2018 · 1,576 citations
9. Biomarker definitions and their applications
   Robert M. Califf · 2018 · 1,532 citations
10. Designing Difference in Difference Studies: Best Practices for Public Health Policy Research
    Coady Wing, Kosali Ilayperuma Simon et al. · 2018 · 1,474 citations
11. Power Analysis and Effect Size in Mixed Effects Models: A Tutorial
    Marc Brysbaert, Michaël Stevens · 2018 · 1,439 citations
12. Quasi-Experimental Shift-Share Research Designs
    Kirill Borusyak, Peter Hull et al. · 2018 · 1,425 citations · Free PDF
13. Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
    Richard D Riley, Kym I E Snell et al. · 2018 · 1,332 citations
14. Understanding the Lomb–Scargle Periodogram
    Jake Vanderplas · 2018 · 1,252 citations · Free PDF
15. The Gaussian Graphical Model in Cross-Sectional and Time-Series Data
    Sacha Epskamp, Lourens Waldorp et al. · 2018 · 1,187 citations · Free PDF
16. Lack of group-to-individual generalizability is a threat to human subjects research
    Aaron Jason Fisher, John Dominic Medaglia et al. · 2018 · 1,131 citations
17. Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression
    Jennifer F. Bobb, Birgit Claus Henn et al. · 2018 · 1,091 citations · Free PDF
18. Fixed and random effects models: making an informed choice
    Andrew Bell, Malcolm Fairbrother et al. · 2018 · 1,085 citations · Free PDF
19. What is the proper way to apply the multiple comparison test?
    Sangseok Lee, Dong Kyu Lee · 2018 · 1,066 citations
20. Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review
    David B. Fogel · 2018 · 1,035 citations
21. High-Dimensional Probability: An Introduction with Applications in Data Science
    Roman Vershynin · 2018 · 1,027 citations
22. Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data
    Julia M. Rohrer · 2018 · 1,023 citations
23. How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice
    Jens Hainmueller, Jonathan Mummolo et al. · 2018 · 977 citations · Free PDF
24. LASSO regression
    Jonas Ranstam, Jonathan Alistair Cook · 2018 · 977 citations
25. R-squared for Bayesian Regression Models
    Andrew Gelman, Ben Goodrich et al. · 2018 · 928 citations

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