World's Best Scientists 2026 revealed!
Guillaume A. Rousselet

Guillaume A. Rousselet

D-Index & Metrics

Neuroscience

D-Index
50
Citations
9097
World Ranking
5754
National Ranking
471

Engineering and Technology

D-Index
45
Citations
8271
World Ranking
5459
National Ranking
358

Guillaume A. Rousselet 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 Guillaume A. Rousselet 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: 103 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Guillaume A. Rousselet 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 Guillaume A. Rousselet 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: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Guillaume A. Rousselet is affiliated with the University of Glasgow in the United Kingdom and focuses research efforts primarily in the field of neuroscience. Their contributions encompass cognitive neuroscience, statistics, and probability, as well as artificial intelligence, management science, and experimental and cognitive psychology.

The scientist's publication record includes work on multiple topics such as functional brain connectivity studies, statistical methods and Bayesian inference, mental health research, EEG and brain-computer interfaces, advanced statistical modeling techniques, and clinical trial methodologies.

Recent notable papers include:

  • The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R, 2021, Advances in Methods and Practices in Psychological Science
  • Reaction Times and other Skewed Distributions, 2020, Meta-Psychology
  • An introduction to the bootstrap: a versatile method to make inferences by using data-driven simulations., 2023, Meta-Psychology

Guillaume A. Rousselet has also contributed alongside other researchers, including frequent co-authors such as Rand R. Wilcox, Cyril Pernet, Jack E. Taylor, Sara C. Sereno, and Ignacio Más. Collaboration with these individuals spans multiple projects and strengthens interdisciplinary approaches within their research fields.

The primary publishing venues for their work are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Meta-Psychology
  • European Journal of Neuroscience
  • Advances in Methods and Practices in Psychological Science
  • Behavior Research Methods

The main research areas of focus are divided into several subfields:

  • Cognitive Neuroscience
  • Statistics and Probability
  • Artificial Intelligence
  • Management Science and Operations Research
  • Experimental and Cognitive Psychology

Main topics extensively covered in their research include:

  • Functional Brain Connectivity Studies
  • Statistical Methods and Bayesian Inference
  • Mental Health Research Topics
  • EEG and Brain-Computer Interfaces
  • Statistical Methods and Inference
  • Advanced Statistical Modeling Techniques
  • Statistical Methods in Clinical Trials

Best Publications

  • Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox

    Cyril R Pernet;Rand R Wilcox;Guillaume A Rousselet

  • Parallel processing in high-level categorization of natural images.

    Guillaume A. Rousselet;Michèle Fabre-Thorpe;Simon J. Thorpe

  • A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

    Robin A.A. Ince;Bruno L. Giordano;Christoph Kayser;Guillaume A. Rousselet

  • Factors influencing the latency of simple reaction time.

    David L Woods;John M. Wyma;E. William Yund;Timothy J. Herron

  • LIMO EEG: a toolbox for hierarchical linear modeling of electroencephalographic data

    Cyril R. Pernet;Nicolas Chauveau;Carl Gaspar;Guillaume A. Rousselet

  • Processing scene context: fast categorization and object interference.

    Olivier R. Joubert;Guillaume A. Rousselet;Denis Fize;Denis Fize;Michèle Fabre-Thorpe;Michèle Fabre-Thorpe

  • Cluster-based computational methods for mass univariate analyses of event-related brain potentials/fields: A simulation study.

    Cyril Pernet;Marianne Latinus;Thomas E. Nichols;Guillaume Alexis Rousselet

  • Large-scale replication study reveals a limit on probabilistic prediction in language comprehension

    Mante S. Nieuwland;Mante S. Nieuwland;Stephen Politzer-Ahles;Stephen Politzer-Ahles;Evelien Heyselaar;Katrien Segaert

  • How long to get to the “gist” of real-world natural scenes?

    Guillaume A. Rousselet;Olivier R. Joubert;Michèle Fabre-Thorpe

  • Is it an animal? Is it a human face? Fast processing in upright and inverted natural scenes.

    Guillaume A. Rousselet;Marc J.-M. Macé;Michèle Fabre-Thorpe

  • How parallel is visual processing in the ventral pathway

    Guillaume A. Rousselet;Simon J. Thorpe;Michèle Fabre-Thorpe

  • Interaction of top-down and bottom-up processing in the fast visual analysis of natural scenes.

    Arnaud Delorme;Guillaume A Rousselet;Marc J.-M Macé;Michèle Fabre-Thorpe

  • Improving standards in brain-behavior correlation analyses.

    Guillaume A. Rousselet;Cyril R. Pernet

  • Vocal attractiveness increases by averaging.

    Laetitia Bruckert;Patricia Bestelmeyer;Marianne Latinus;Julien Rouger

  • Early interference of context congruence on object processing in rapid visual categorization of natural scenes.

    Olivier R Joubert;Denis Fize;Guillaume A Rousselet;Michèle Fabre-Thorpe

  • Beyond differences in means: robust graphical methods to compare two groups in neuroscience

    Guillaume A. Rousselet;Cyril R. Pernet;Rand R. Wilcox

  • Dissociable effects of prediction and integration during language comprehension: evidence from a large-scale study using brain potentials

    Mante S. Nieuwland;Mante S. Nieuwland;Dale J. Barr;Federica Bartolozzi;Federica Bartolozzi;Simon Busch-Moreno

  • Time course and robustness of ERP object and face differences.

    Guillaume A. Rousselet;Jesse S. Husk;Patrick J. Bennett;Allison B. Sekuler

  • Brain classification reveals the right cerebellum as the best biomarker of dyslexia

    Cyril R Pernet;Jean Baptiste Poline;Jean François Demonet;Guillaume A Rousselet

  • Animal and human faces in natural scenes: How specific to human faces is the N170 ERP component?

    Guillaume A. Rousselet;Marc J.-M. Macé;Michèle Fabre-Thorpe

  • Research report Interaction of top-down and bottom-up processing in the fast visual analysis of natural scenes

    Arnaud Delorme;Guillaume A. Rousselet;Michele Fabre-Thorpe

Frequent Co-Authors

Cyril Pernet
Cyril Pernet Copenhagen University Hospital
Philippe G. Schyns
Philippe G. Schyns University of Glasgow
Patrick J. Bennett
Patrick J. Bennett McMaster University
Allison B. Sekuler
Allison B. Sekuler McMaster University
Rand R. Wilcox
Rand R. Wilcox University of Southern California
Mante S. Nieuwland
Mante S. Nieuwland Max Planck Society
Joachim Gross
Joachim Gross University of Münster
Simon J. Thorpe
Simon J. Thorpe Centre national de la recherche scientifique, CNRS
Pascal Belin
Pascal Belin Aix-Marseille University
Roberto Caldara
Roberto Caldara University of Fribourg

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