Topic · Data Analysis with R
Most cited papers in Data Analysis with R
What are the most cited papers in Data Analysis with R?
The most cited paper in Data Analysis with R is "Fitting Linear Mixed-Effects Models Using lme4" (Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al., 2015), with 89,183 citations. Next come "lmerTest Package: Tests in Linear Mixed Effects Models" (24,675) and "Welcome to the Tidyverse" (22,949).
Showing 50 of 98 papers. Every paper with more than 855 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Fitting Linear Mixed-Effects Models Using lme4 Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software | 2015 | 89,183 |
| 2 | lmerTest Package: Tests in Linear Mixed Effects Models Alexandra Kuznetsova, Per B. Brockhoff, Rune Haubo Bojesen Christensen · Journal of Statistical Software | 2017 | 24,675 |
| 3 | Welcome to the Tidyverse Hadley Wickham et al. · The Journal of Open Source Software | 21 Nov 2019 | 22,949 |
| 4 | Conducting Meta-Analyses in R with the metafor Package Wolfgang Viechtbauer · Journal of Statistical Software | 2010 | 19,468 |
| 5 | bibliometrix : An R-tool for comprehensive science mapping analysis Massimo Aria, Corrado Cuccurullo · Journal of Informetrics | 12 Sep 2017 | 15,825 |
| 6 | Trim and Fill: A Simple Funnel‐Plot–Based Method of Testing and Adjusting for Publication Bias in Meta‐Analysis Sue Duval, Richard L. Tweedie · Biometrics | Jun 2000 | 14,320 |
| 7 | Numerical optimization Willard John Braun, Duncan J. Murdoch · Cambridge University Press eBooks | 20 May 2021 | 14,136 |
| 8 | R: A Language for Data Analysis and Graphics Ross Ihaka, Robert C. Gentleman · Journal of Computational and Graphical Statistics | Sep 1996 | 10,491 |
| 9 | ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R Emmanuel Paradis, Klaus Peter Schliep · Bioinformatics | 14 Jul 2018 | 9,939 |
| 10 | brms : An R Package for Bayesian Multilevel Models Using Stan Paul‐Christian Bürkner · Journal of Statistical Software | 2017 | 9,892 |
| 11 | A protocol for data exploration to avoid common statistical problems Alain F. Zuur, Elena N. Ieno, Chris S. Elphick · Methods in Ecology and Evolution | 13 Nov 2009 | 8,308 |
| 12 | FSTAT (Version 1.2): A Computer Program to Calculate F-Statistics Jérôme Goudet · Journal of Heredity | Nov 1995 | 7,749 |
| 13 | A statistical explanation of MaxEnt for ecologists Jane Elith, Steven J. Phillips, Trevor Hastie et al. · Diversity and Distributions | 25 Nov 2010 | 6,768 |
| 14 | A working guide to boosted regression trees Jane Elith, John R. Leathwick, Trevor Hastie · Journal of Animal Ecology | 8 Apr 2008 | 6,617 |
| 15 | How to perform a meta-analysis with R: a practical tutorial Sara Balduzzi, Gerta Rücker, Guido Schwarzer · Evidence-Based Mental Health | 28 Sep 2019 | 5,987 |
| 16 | performance: An R Package for Assessment, Comparison and Testing of Statistical Models Daniel Lüdecke, Mattan S. Ben‐Shachar, Indrajeet Patil et al. · The Journal of Open Source Software | 21 Apr 2021 | 5,793 |
| 17 | circlize implements and enhances circular visualization in R Zuguang Gu, Lei Gu, Roland Eils et al. · Bioinformatics | 14 Jun 2014 | 4,735 |
| 18 | ggplot2 Hadley Wickham · Wiley Interdisciplinary Reviews Computational Statistics | 4 Feb 2011 | 4,560 |
| 19 | Answering the Call for a Standard Reliability Measure for Coding Data Andrew F. Hayes, Klaus Krippendorff · Communication Methods and Measures | Apr 2007 | 4,263 |
| 20 | Effect size, confidence interval and statistical significance: a practical guide for biologists Shinichi Nakagawa, Innes C. Cuthill · Biological reviews/Biological reviews of the Cambridge Philosophical Society | 18 Oct 2007 | 3,897 |
| 21 | ROCR: visualizing classifier performance in R Tobias Sing, Oliver Sander, Niko Beerenwinkel et al. · Computer applications in the biosciences | 11 Aug 2005 | 3,374 |
| 22 | VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R Hanbo Chen, Paul Christopher Boutros · BMC Bioinformatics | 26 Jan 2011 | 3,374 |
| 23 | Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations Sander Greenland, Stephen John Senn, Kenneth Jay Rothman et al. · European Journal of Epidemiology | Apr 2016 | 3,248 |
| 24 | An Introduction to Statistical Learning: with Applications in R Gareth M. James, Daniela Witten, Trevor Hastie et al. | 2018 | 2,986 |
| 25 | Log-normal Distributions across the Sciences: Keys and Clues E. Limpert, Werner A. Stahel, MARKUS ABBT · BioScience | 2001 | 2,648 |
| 26 | Scaling regression inputs by dividing by two standard deviations Andrew Gelman · Statistics in Medicine | 24 Oct 2007 | 2,601 |
| 27 | SIMR : an R package for power analysis of generalized linear mixed models by simulation Peter Green, Catriona J. MacLeod · Methods in Ecology and Evolution | 17 Nov 2015 | 2,546 |
| 28 | Graphical Tools for Network Meta-Analysis in STATA Anna Chaimani, Julian P. T. Higgins, Dimitris Mavridis et al. · PLoS ONE | 3 Oct 2013 | 2,535 |
| 29 | Aggregation, Variance and the Mean L. R. Taylor · Nature | Mar 1961 | 2,532 |
| 30 | Bayes Factors Robert E. Kass, Adrian E. Raftery · Journal of the American Statistical Association | Jun 1995 | 2,358 |
| 31 | The Analysis of Binary Data. Robin L. Plackett, David Roxbee Cox · Journal of the Royal Statistical Society Series A (General) | 1971 | 2,287 |
| 32 | FactoMineR: An R Package for Multivariate Analysis Sébastien Lê, Agrocampus Rennes, Julie Josse et al. | 2008 | 2,285 |
| 33 | ggmap: Spatial Visualization with ggplot2 David J. Kahle, Hadley Wickham · The R Journal | 2013 | 2,244 |
| 34 | Metaprop: a Stata command to perform meta-analysis of binomial data Victoria Nyawira Nyaga, Marc Arbyn, Marc Aerts · Archives of Public Health | 10 Nov 2014 | 2,208 |
| 35 | Quantitative Risk Management: Concepts, Techniques, and Tools Christine M. Anderson‐Cook · Journal of the American Statistical Association | Dec 2006 | 2,033 |
| 36 | The preregistration revolution Brian A. Nosek, Charles R. Ebersole, Alexander Carl DeHaven et al. · Proceedings of the National Academy of Sciences | 12 Mar 2018 | 2,019 |
| 37 | dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering Tal Galili · Bioinformatics | 23 Jul 2015 | 1,988 |
| 38 | Regression to the mean: what it is and how to deal with it Adrian Gerard Barnett · International Journal of Epidemiology | 27 Aug 2004 | 1,974 |
| 39 | Moving beyond P values: data analysis with estimation graphics Joses Wei Hao Ho, Tayfun Tumkaya, Sameer Aryal et al. · Nature Methods | 19 Jun 2019 | 1,960 |
| 40 | Evaluating significance in linear mixed-effects models in R Steven G. Luke · Behavior Research Methods | 12 Sep 2016 | 1,934 |
| 41 | Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation Alex Goldstein, Adam D. Kapelner, Justin Bleich et al. · Journal of Computational and Graphical Statistics | 24 Apr 2014 | 1,869 |
| 42 | Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation András Lánczky, Balázs Győrffy · Journal of Medical Internet Research | 6 May 2021 | 1,863 |
| 43 | Meta-analysis and the science of research synthesis Jessica Gurevitch, Julia Koricheva, Shinichi Nakagawa et al. · Nature | Mar 2018 | 1,779 |
| 44 | The origins of kriging Noel Cressie · Mathematical Geology | Apr 1990 | 1,729 |
| 45 | Mixed Effects Models and Extensions in Ecology with R Ana F. Militino · Journal of the Royal Statistical Society Series A (Statistics in Society) | 20 Sep 2010 | 1,699 |
| 46 | Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data Anuj Karpatne, Gowtham Atluri, James H. Faghmous et al. · IEEE Transactions on Knowledge and Data Engineering | 29 Jun 2017 | 1,670 |
| 47 | mvabund– an R package for model‐based analysis of multivariate abundance data Yi Wang, Ulrike Naumann, Stephen T. Wright et al. · Methods in Ecology and Evolution | 21 Feb 2012 | 1,633 |
| 48 | Publication bias in the social sciences: Unlocking the file drawer Annie Franco, Neil A. Malhotra, Gábor Simonovits · Science | 29 Aug 2014 | 1,625 |
| 49 | stm : An R Package for Structural Topic Models Margaret E. Roberts, Brandon Stewart, Dustin H. Tingley · Journal of Statistical Software | 2019 | 1,593 |
| 50 | R2WinBUGS : A Package for Running WinBUGS from R Sibylle Sturtz, Uwe Ligges, Andrew Gelman · Journal of Statistical Software | 2005 | 1,578 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.