Barret Schloerke

1.6k citations
8 papers · 106 indexed · h-index 3
Topics
Statistical Methods and Bayesian Inference (1 paper)Gaussian Processes and Bayesian Inference (1 paper)Advanced Statistical Methods and Models (1 paper)

In The Last Decade

Barret Schloerke

7 papers receiving 101 citations

Peers

Barret Schloerke
Comparison fields: 5 of 81
  • Artificial Intelligence 26
  • Computer Vision and Pattern Recognition 22
  • Plant Science 12
  • Statistics and Probability 12
  • Ecology 10
Replace Walton A. Green with:
Walton A. Green United States
Ranjana Agrawal India
Benjamin Guedj France
Xing Wei China
Matthieu Vignes New Zealand
Michael Kruse Germany
Daniel J. McDonald United States
Mike Talbot United Kingdom
Weihui Zeng China
Harvey Wu United States
Barret Schloerke relative to Walton A. Green United States Walton A. Green's profile →
Citations per field
00.5×1.5×
Walton A. Green · 1×
Citations per year

Countries citing papers authored by Barret Schloerke

Since Specialization
Citations

This map shows the geographic impact of Barret Schloerke'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 Barret Schloerke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barret Schloerke more than expected).

Fields of papers citing papers by Barret Schloerke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barret Schloerke. 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 Barret Schloerke. The network helps show where Barret Schloerke may publish in the future.

Co-authorship network of co-authors of Barret Schloerke

This figure shows the co-authorship network connecting the top 25 collaborators of Barret Schloerke. A scholar is included among the top collaborators of Barret Schloerke 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 Barret Schloerke. Barret Schloerke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1
Extension to 'ggplot2' [R package GGally version 2.1.0]
0
2
Interactive Tutorials for R [R package learnr version 0.10.1]
2
3 2
4 3
5
Extension to ggplot2
1
6 96
7 1
8 1

About Barret Schloerke

Barret Schloerke is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Philosophy, having authored 8 papers that have together received 106 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Statistics and Probability (12 citations), Computer Vision and Pattern Recognition (22 citations) and Horticulture (1 citation). Barret Schloerke has collaborated with scholars based in United States, Australia and Türkiye. Frequent co-authors include Dianne Cook, Heike Hofmann, Walton A. Green, Hadley Wickham, John W. Emerson, JJ Allaire, Tengfei Yin, Joseph Larmarange, Adam Loy and Jon Hobbs. Their work appears in journals such as Journal of Computational and Graphical Statistics, The R Journal and Computational Statistics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026