World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5855
World Ranking
8660
National Ranking
439

Overview

Dianne Cook is affiliated with Monash University in Australia and has contributed extensively to research in computer science, particularly focusing on data analysis and visualization. Their work spans several subfields including artificial intelligence, computer vision and pattern recognition, statistics and probability, molecular biology, and global and planetary change.

Their research topics cover a broad range, highlighting expertise in:

  • Data Analysis with R
  • Data Visualization and Analytics
  • Advanced Statistical Methods and Models
  • Statistics Education and Methodologies
  • Demographic Modeling and Climate Adaptation
  • Time Series Analysis and Forecasting
  • Bioinformatics and Genomic Networks

Dianne Cook's publication record includes papers in multiple venues, such as:

  • arXiv (Cornell University)
  • Journal of Computational and Graphical Statistics
  • The R Journal
  • Computational Statistics
  • Journal of Statistical Software

Selected recent papers by Dianne Cook include:

  • "Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations" (2023), published in Journal of Statistical Software
  • "Testing Statistical Charts: What Makes a Good Graph?" (2020), published in Annual Review of Statistics and Its Application
  • "NanoMethViz: An R/Bioconductor package for visualizing long-read methylation data" (2021), published in PLoS Computational Biology
  • "ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1" (2021), published in Journal of Animal Science
  • "Exploring Gene Expression Data, Using Plots" (2021), published in Journal of Data Science

Frequent co-authors in their research include:

  • Ursula Laa
  • Emi Tanaka
  • Susan VanderPlas
  • Rob J. Hyndman
  • Nicholas Tierney

Dianne Cook's career reflects significant involvement in the intersection of computational techniques and statistical methods, emphasizing tools and approaches for data visualization and analysis within various scientific domains.

Best Publications

  • Interactive High-Dimensional Data Visualization

    Andreas Buja;Dianne Cook

  • XGobi: Interactive Dynamic Data Visualization in the X Window System

    Deborah F. Swayne;Dianne Cook;Andreas Buja

  • Grand tour and projection pursuit

    Dianne Cook;Andreas Buja;Javier Cabrera;Catherine B. Hurley

  • ggbio: an R package for extending the grammar of graphics for genomic data.

    Tengfei Yin;Dianne Cook;Michael C Lawrence

  • GGobi: evolving from XGobi into an extensible framework for interactive data visualization

    Deborah F. Swayne;Duncan Temple Lang;Andreas Buja;Dianne Cook

  • Commitment and energy conservation

    Pallak;D.A. Cook;J.J. Sullivan

  • Statistical inference for exploratory data analysis and model diagnostics.

    Andreas Buja;Dianne Cook;Heike Hofmann;Michael Lawrence

  • Expanding tidy data principles to facilitate missing data exploration, visualization and assessment of imputations

    Nicholas Tierney;Dianne Cook

  • Graphical inference for infovis

    Hadley Wickham;Dianne Cook;Heike Hofmann;Andreas Buja

  • The Generalized Pairs Plot

    John W. Emerson;Walton A. Green;Barret Schloerke;Jason Crowley

  • Projection Pursuit Indexes Based on Orthonormal Function Expansions

    Dianne Cook;Andreas Buja;Javier Cabrera

  • plyranges: a grammar of genomic data transformation.

    Stuart Lee;Stuart Lee;Dianne Cook;Michael Lawrence

  • BarleyBase—an expression profiling database for plant genomics

    Lishuang Shen;Jian Gong;Rico A. Caldo;Dan Nettleton

  • Projection Pursuit for Exploratory Supervised Classification

    Eun-Kyung Lee;Dianne Cook;Sigbert Klinke;Thomas Lumley

  • The benefits of statistical visualization in an immersive environment

    L. Arms;D. Cook;C. Cruz-Neira

  • Dynamic graphics in a GIS: more examples using linked software

    Dianne Cook;Jürgen Symanzik;James J. Majure;Noel Cressie

  • Tourr: An R package for exploring multivariate data with projections

    Hadley Wickham;Dianne Cook;Heike Hofmann;Andreas Buja

  • Using Graphics and Simulation to Teach Statistical Concepts

    Mervyn G. Marasinghe;William Q. Meeker;Dianne Cook;Tae Sung Shin

  • Identification of candidate genes involved in early iron deficiency chlorosis signaling in soybean (Glycine max) roots and leaves.

    Adrienne N Moran Lauter;Gregory A Peiffer;Tengfei Yin;Steven A Whitham

  • MetNet: software to build and model the biogenetic lattice of Arabidopsis

    Eve Syrkin Wurtele;Jie Li;Lixia Diao;Hailong Zhang

  • Manual Controls for High-Dimensional Data Projections

    Dianne Cook;Andreas Buja

  • Dynamic graphics in a GIS: exploring and analyzing multivariate spatial data using linked software

    Dianne Cook;James J. Majure;Jürgen Symanzik;Noel Cressie

  • Validation of Visual Statistical Inference, Applied to Linear Models

    Mahbubul Majumder;Heike Hofmann;Dianne Cook

  • Gaining insights into support vector machine pattern classifiers using projection-based tour methods

    Doina Caragea;Dianne Cook;Vasant G. Honavar

  • Computational Methods for High-Dimensional Rotations in Data Visualization

    Andreas Buja;Dianne Cook;Daniel Asimov;Catherine Hurley

Frequent Co-Authors

Hadley Wickham
Hadley Wickham University of Auckland
Andreas Buja
Andreas Buja University of Pennsylvania
Rob J. Hyndman
Rob J. Hyndman Monash University
Noel A Cressie
Noel A Cressie University of Wollongong
Eve Syrkin Wurtele
Eve Syrkin Wurtele Iowa State University
Julie A. Dickerson
Julie A. Dickerson Iowa State University
Matthew E. Ritchie
Matthew E. Ritchie Walter and Eliza Hall Institute of Medical Research
Michael S. Lawrence
Michael S. Lawrence Harvard University
Vasant Honavar
Vasant Honavar Pennsylvania State University
Randy C. Shoemaker
Randy C. Shoemaker Agricultural Research Service

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