Dianne Cook
Impact in
- Statistics and Probability top 1%
- Advanced Statistical Methods and Models
- Statistics Education and Methodologies
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- Data Visualization and Analytics
Papers in
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- Statistics Education and Methodologies 12
- Advanced Statistical Methods and Models 9
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- Data Visualization and Analytics 43
- Co-authors
- Andreas BujaDeborah F. SwayneHeike HofmannMichael C. LawrenceHadley WickhamTengfei YinNicholas TierneyJavier Cabrera
- Journals
- Journal of Computational and Graphical Statistics (29 papers)Journal of Statistical Software (9 papers)The R Journal (8 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Journal of the American Statistical Association (2 papers)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Dianne Cook
141 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Statistics and Probability 464
- Computer Vision and Pattern Recognition 1.1k
- Signal Processing 386
- Artificial Intelligence 983
- Geography, Planning and Development 138
Countries citing papers authored by Dianne Cook
This map shows the geographic impact of Dianne Cook'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 Dianne Cook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianne Cook more than expected).
Fields of papers citing papers by Dianne Cook
This network shows the impact of papers produced by Dianne Cook. 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 Dianne Cook. The network helps show where Dianne Cook may publish in the future.
Co-authors
The 25 scholars most cited alongside Dianne Cook, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 33 | |
| 10 | 2013 | 3 | |
| 11 | tourrGui: A gWidgets GUI for the Tour to Explore High-Dimensional Data Using Low-Dimensional Projections | 2012 | 1 |
| 12 | tourr: An R Package for Exploring Multivariate Data with Projections | 2011 | 9 |
| 13 | GGobi: A data visualization system | 2011 | 2 |
| 14 | 2010 | 82 | |
| 15 | Dynamic and interactive graphical methods for animal breeding. | 2006 | 1 |
| 16 | 2001 | 1 | |
| 17 | 2000 | 10 | |
| 18 | Dynamic graphics in a GIS: exploring and analyzing multivariate spatial data using linked software | 1996 | 23 |
| 19 | 1996 | 210 | |
| 20 | 1993 | 50 |
About Dianne Cook
Dianne Cook is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition, Artificial Intelligence, Ecological Modeling and Geography, Planning and Development, having authored 147 papers that have together received 3.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (43 papers), Data Analysis with R (36 papers), Statistics Education and Methodologies (12 papers), Bioinformatics and Genomic Networks (10 papers), Advanced Statistical Methods and Models (9 papers), Gene expression and cancer classification (8 papers), Sensory Analysis and Statistical Methods (7 papers) and Geographic Information Systems Studies (7 papers). The work is most often cited by research in Statistics and Probability (464 citations), Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (386 citations), Artificial Intelligence (983 citations) and Geography, Planning and Development (138 citations). Dianne Cook has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Andreas Buja, Deborah F. Swayne, Heike Hofmann, Michael C. Lawrence, Hadley Wickham, Tengfei Yin, Nicholas Tierney, Javier Cabrera, Catherine Hurley and J. Rawers. Their work appears in journals such as Journal of Computational and Graphical Statistics, Journal of Statistical Software, The R Journal, IEEE Transactions on Visualization and Computer Graphics and Journal of the American Statistical Association.
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.