Dianne Cook

123 papers and 2.7k indexed citations i.

About

Dianne Cook is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Dianne Cook has authored 123 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 49 papers in Computer Vision and Pattern Recognition and 25 papers in Statistics and Probability. Recurrent topics in Dianne Cook’s work include Data Visualization and Analytics (42 papers), Data Analysis with R (35 papers) and Statistics Education and Methodologies (11 papers). Dianne Cook is often cited by papers focused on Data Visualization and Analytics (42 papers), Data Analysis with R (35 papers) and Statistics Education and Methodologies (11 papers). Dianne Cook collaborates with scholars based in United States, Australia and South Korea. Dianne Cook's co-authors include Andreas Buja, Deborah F. Swayne, Heike Hofmann, Michael C. Lawrence, Hadley Wickham, Tengfei Yin, Javier Cabrera, J. Rawers, Catherine Hurley and Nicholas Tierney and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Dianne Cook i

Fields of papers citing papers by Dianne Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Dianne Cook

Since Specialization
Citations

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).

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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2025