D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 31 Citations 4,815 49 World Ranking 5325 National Ranking 366
Neuroscience D-index 33 Citations 4,768 51 World Ranking 4615 National Ranking 390

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Neuroscience

Guillaume A. Rousselet spends much of his time researching Artificial intelligence, Communication, Categorization, Visual processing and Electroencephalography. Guillaume A. Rousselet interconnects Stimulus, Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence. The concepts of his Stimulus study are interwoven with issues in Cognition, Mental rotation and Visual Objects.

His Categorization study deals with Information processing intersecting with Visual perception, Pattern recognition, Prefrontal cortex and Orientation. His Visual processing research incorporates elements of Speech recognition and Event-related potential. His research in Electroencephalography intersects with topics in Linear model and Parametric statistics.

His most cited work include:

  • Robust correlation analyses: false positive and power validation using a new open source matlab toolbox. (335 citations)
  • Parallel processing in high-level categorization of natural images. (270 citations)
  • Processing scene context: fast categorization and object interference. (193 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Artificial intelligence, Categorization, Communication, Electroencephalography and Speech recognition. His work deals with themes such as Visual perception, Visual processing, Computer vision and Pattern recognition, which intersect with Artificial intelligence. His Categorization research includes elements of Amplitude, Face, Task and Information processing.

The various areas that Guillaume A. Rousselet examines in his Information processing study include Cognitive science, Perception, Cognition and Face detection. His Communication study combines topics from a wide range of disciplines, such as Parallel processing, Cognitive neuroscience of visual object recognition and Scene statistics. His Electroencephalography research incorporates themes from Stimulus, Cognitive psychology, Linear regression and Audiology.

He most often published in these fields:

  • Artificial intelligence (32.17%)
  • Categorization (25.22%)
  • Communication (21.74%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (32.17%)
  • Outlier (6.09%)
  • Cognitive psychology (15.65%)

In recent papers he was focusing on the following fields of study:

Guillaume A. Rousselet mainly investigates Artificial intelligence, Outlier, Cognitive psychology, Sentence and N400. Guillaume A. Rousselet applies his multidisciplinary studies on Artificial intelligence and Complement in his research. His studies deal with areas such as Non normality, Correlation and Data science as well as Outlier.

His Correlation study integrates concerns from other disciplines, such as Focus and Multivariate outliers. His Cognitive psychology research includes themes of Perception, Young adult, Stimulus, Brain activity and meditation and Semantic memory. His research integrates issues of General linear model, Linear model, Synthetic data and Statistical power in his study of Pattern recognition.

Between 2016 and 2021, his most popular works were:

  • A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula (108 citations)
  • Large-scale replication study reveals a limit on probabilistic prediction in language comprehension (100 citations)
  • Beyond differences in means: robust graphical methods to compare two groups in neuroscience. (70 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Neuroscience

His scientific interests lie mostly in Sentence, N400, Meaning, Artificial intelligence and Cognitive psychology. Meaning is integrated with Prediction in language comprehension and Replication in his research. Prediction in language comprehension is integrated with Phonology, Natural language processing, Bayesian probability, Bayes factor and Noun in his study.

His work on Statistical inference expands to the thematically related Artificial intelligence. Guillaume A. Rousselet works mostly in the field of Cognitive psychology, limiting it down to topics relating to Semantic memory and, in certain cases, Semantic similarity. His Context investigation overlaps with other disciplines such as Comprehension and Facilitation.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Parallel processing in high-level categorization of natural images.

Guillaume A. Rousselet;Michèle Fabre-Thorpe;Simon J. Thorpe.
Nature Neuroscience (2002)

411 Citations

Robust correlation analyses: false positive and power validation using a new open source matlab toolbox.

Cyril R Pernet;Rand R Wilcox;Guillaume A Rousselet.
Frontiers in Psychology (2013)

385 Citations

Processing scene context: fast categorization and object interference.

Olivier R. Joubert;Guillaume A. Rousselet;Denis Fize;Denis Fize;Michèle Fabre-Thorpe;Michèle Fabre-Thorpe.
Vision Research (2007)

258 Citations

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

Guillaume A. Rousselet;Olivier R. Joubert;Michèle Fabre-Thorpe.
Visual Cognition (2005)

232 Citations

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.
Journal of Vision (2003)

232 Citations

How parallel is visual processing in the ventral pathway

Guillaume A. Rousselet;Simon J. Thorpe;Michèle Fabre-Thorpe.
Trends in Cognitive Sciences (2004)

231 Citations

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.
Cognitive Brain Research (2004)

227 Citations

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

Cyril R. Pernet;Nicolas Chauveau;Carl Gaspar;Guillaume A. Rousselet.
Computational Intelligence and Neuroscience (2011)

201 Citations

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.
Journal of Vision (2008)

195 Citations

Vocal attractiveness increases by averaging.

Laetitia Bruckert;Laetitia Bruckert;Patricia Bestelmeyer;Marianne Latinus;Julien Rouger.
Current Biology (2010)

180 Citations

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