World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5855
World Ranking
8662
National Ranking
439

Dianne Cook publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Dianne Cook sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 154 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Dianne Cook D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Dianne Cook sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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
Marnie E. Blewitt
Marnie E. Blewitt Walter and Eliza Hall Institute of Medical Research
Matthew E. Ritchie
Matthew E. Ritchie Walter and Eliza Hall Institute of Medical Research
Michael S. Lawrence
Michael S. Lawrence Harvard University
Randy C. Shoemaker
Randy C. Shoemaker Agricultural Research Service

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