Garrett Grolemund

38 total papers · 22.6k total citations
9 papers, 1.6k citations indexed

About

Garrett Grolemund is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Garrett Grolemund has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Garrett Grolemund's work include Data Analysis with R (3 papers), Data Visualization and Analytics (2 papers) and Advanced Text Analysis Techniques (2 papers). Garrett Grolemund is often cited by papers focused on Data Analysis with R (3 papers), Data Visualization and Analytics (2 papers) and Advanced Text Analysis Techniques (2 papers). Garrett Grolemund collaborates with scholars based in United States. Garrett Grolemund's co-authors include Hadley Wickham, JJ Allaire, Yihui Xie, Yihui Xie and Vitalie Spinu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Statistical Software and International Statistical Review.

In The Last Decade

Garrett Grolemund

9 papers receiving 1.6k citations

Hit Papers

Dates and Times Made Easy... 2011 2026 2016 2021 2011 2016 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Garrett Grolemund 315 201 175 151 148 9 1.6k
Malika Charrad 231 0.7× 245 1.2× 166 0.9× 215 1.4× 99 0.7× 5 1.9k
Véronique Boiteau 231 0.7× 242 1.2× 156 0.9× 234 1.5× 97 0.7× 7 2.1k
Nadia Ghazzali 232 0.7× 244 1.2× 186 1.1× 222 1.5× 99 0.7× 17 2.0k
Jerry L. Hintze 220 0.7× 230 1.1× 220 1.3× 181 1.2× 109 0.7× 7 2.2k
G. Kitagawa 312 1.0× 230 1.1× 305 1.7× 122 0.8× 123 0.8× 21 2.1k
W. N. Venables 349 1.1× 264 1.3× 120 0.7× 128 0.8× 135 0.9× 4 1.5k
Ege Rubak 359 1.1× 320 1.6× 122 0.7× 129 0.9× 174 1.2× 18 1.9k
David Kahle 426 1.4× 260 1.3× 72 0.4× 151 1.0× 219 1.5× 22 1.6k
Christophe Dutang 339 1.1× 274 1.4× 78 0.4× 138 0.9× 241 1.6× 23 1.7k
Andrew Gelman 461 1.5× 197 1.0× 165 0.9× 86 0.6× 130 0.9× 6 2.2k

Countries citing papers authored by Garrett Grolemund

Since Specialization
Citations

This map shows the geographic impact of Garrett Grolemund's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Garrett Grolemund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garrett Grolemund more than expected).

Fields of papers citing papers by Garrett Grolemund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garrett Grolemund. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Garrett Grolemund. The network helps show where Garrett Grolemund may publish in the future.

Co-authorship network of co-authors of Garrett Grolemund

This figure shows the co-authorship network connecting the top 25 collaborators of Garrett Grolemund. A scholar is included among the top collaborators of Garrett Grolemund based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Garrett Grolemund. Garrett Grolemund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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