World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
7264
World Ranking
9509
National Ranking
2683

Giles Hooker 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 Giles Hooker 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: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Giles Hooker 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 Giles Hooker 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: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Giles Hooker is affiliated with the University of Pennsylvania in the United States. Their research contributions span multiple areas in computer science, with a strong focus on statistical methods, machine learning, and ecology-related studies.

Their publication record includes work in the intersection of artificial intelligence and ecological modeling, emphasizing interpretability and inference in complex data environments. Hooker has contributed extensively to the field of computer science, with a particular focus on:

  • Artificial Intelligence
  • Statistics and Probability
  • Nature and Landscape Conservation
  • Ecology
  • Ecology, Evolution, Behavior and Systematics

Main research topics covered in Hooker's work include:

  • Statistical Methods and Inference
  • Ecology and Vegetation Dynamics Studies
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning and Data Classification
  • Bayesian Modeling and Causal Inference
  • Adversarial Robustness in Machine Learning
  • Animal Ecology and Behavior Studies

Their recent papers illustrate a diverse research portfolio. These include:

  • "A practical guide to selecting models for exploration, inference, and prediction in ecology," published in 2021 in Ecology
  • "Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance," 2021, Statistics and Computing
  • "A framework for harmonizing multiple satellite instruments to generate a long-term global high spatial-resolution solar-induced chlorophyll fluorescence (SIF)," 2020, Remote Sensing of Environment
  • "PCA of waveforms and functional PCA: A primer for biomechanics," 2020, Journal of Biomechanics
  • "Unbiased Measurement of Feature Importance in Tree-Based Methods," 2021, ACM Transactions on Knowledge Discovery from Data

Hooker has collaborated frequently with several researchers, including:

  • Stephen P. Ellner
  • Peter B. Adler
  • Robin E. Snyder
  • Jeremy Goldwasser
  • Christina M. Hernandez

Their work is published predominantly in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Ecology
  • Statistics and Computing
  • Machine Learning

Best Publications

  • Parameter estimation for differential equations: a generalized smoothing approach

    J. O. Ramsay;G. Hooker;D. Campbell;J. Cao

  • Functional Data Analysis with R and MATLAB

    J. O. Ramsay;Giles Hooker;Spencer Graves

  • Equilibrium free energies from nonequilibrium measurements using maximum-likelihood methods.

    Michael R. Shirts;Eric Bair;Giles Hooker;Vijay S. Pande

  • Accurate intelligible models with pairwise interactions

    Yin Lou;Rich Caruana;Johannes Gehrke;Giles Hooker

  • Data-intensive Science: A New Paradigm for Biodiversity Studies

    Steve Kelling;Wesley M. Hochachka;Daniel Fink;Mirek Riedewald

  • A practical guide to selecting models for exploration, inference, and prediction in ecology.

    Andrew T. Tredennick;Giles Hooker;Stephen P. Ellner;Peter B. Adler

  • Generalized Functional ANOVA Diagnostics for High-Dimensional Functions of Dependent Variables

    Giles Hooker

  • Quantifying uncertainty in random forests via confidence intervals and hypothesis tests

    Lucas Mentch;Giles Hooker

  • An expanded modern coexistence theory for empirical applications

    Stephen P. Ellner;Robin E. Snyder;Peter B. Adler;Giles J. Hooker

  • Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance

    Giles Hooker;Lucas Mentch;Siyu Zhou

  • Functional Generalized Additive Models

    Matthew W. McLean;Giles Hooker;Ana-Maria Staicu;Fabian Scheipl

  • Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation

    Sarah Tan;Rich Caruana;Giles Hooker;Yin Lou

  • Discovering additive structure in black box functions

    Giles Hooker

  • Please Stop Permuting Features: An Explanation and Alternatives.

    Giles Hooker;Lucas Mentch

  • The Computerized Adaptive Diagnostic Test for Major Depressive Disorder (CAD-MDD): A Screening Tool for Depression

    Robert D. Gibbons;Giles Hooker;Matthew D. Finkelman;David J. Weiss

  • A newly discovered role of evolution in previously published consumer-resource dynamics.

    Teppo Hiltunen;Teppo Hiltunen;Nelson G. Hairston;Nelson G. Hairston;Giles Hooker;Laura E. Jones

  • Learning Global Additive Explanations for Neural Nets Using Model Distillation

    Sarah Tan;Rich Caruana;Giles Hooker;Paul Koch

  • A framework for harmonizing multiple satellite instruments to generate a long-term global high spatial-resolution solar-induced chlorophyll fluorescence (SIF)

    J. Wen;P. Köhler;G. Duveiller;N.C. Parazoo

  • Parameterizing state-space models for infectious disease dynamics by generalized profiling: measles in Ontario.

    Giles Hooker;Stephen P. Ellner;Laura De Vargas Roditi;David J. D. Earn

  • S-LIME: Stabilized-LIME for Model Explanation

    Zhengze Zhou;Giles Hooker;Fei Wang

  • Interpreting Models via Single Tree Approximation

    Yichen Zhou;Giles Hooker

  • PCA of waveforms and functional PCA: A primer for biomechanics.

    John Warmenhoven;John Warmenhoven;Norma Bargary;Dominik Liebl;Andrew Harrison

  • Truncated linear models for functional data

    Peter Hall;Giles Hooker

  • Bayesian model robustness via disparities

    Giles Hooker;Anand N. Vidyashankar

  • Eco-Evolutionary Dynamics in a Three-Species Food Web with Intraguild Predation: Intriguingly Complex

    Teppo Hiltunen;Stephen P. Ellner;Giles Hooker;Laura E. Jones

  • Forcing function diagnostics for nonlinear dynamics.

    Giles Hooker

  • Transparent Model Distillation.

    Sarah Tan;Rich Caruana;Giles Hooker;Albert Gordo

  • Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and Its Variance Estimate

    Indrayudh Ghosal;Giles Hooker

  • Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models

    Benjamin Lengerich;Sarah Tan;Chun-Hao Chang;Giles Hooker

Frequent Co-Authors

Stephen P. Ellner
Stephen P. Ellner Cornell University
James O. Ramsay
James O. Ramsay McGill University
Rich Caruana
Rich Caruana Microsoft (United States)
Peter B. Adler
Peter B. Adler Utah State University
Wesley M. Hochachka
Wesley M. Hochachka Cornell University
David W. Winkler
David W. Winkler Cornell University
Nelson G. Hairston
Nelson G. Hairston Cornell University
David Ruppert
David Ruppert Cornell University
Paul A. Pilkonis
Paul A. Pilkonis University of Pittsburgh
Ellen Frank
Ellen Frank University of Pittsburgh

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