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
Computer Science D-index 48 Citations 16,488 112 World Ranking 3096 National Ranking 183
Neuroscience D-index 52 Citations 15,354 120 World Ranking 2144 National Ranking 200
Psychology D-index 52 Citations 16,887 124 World Ranking 3048 National Ranking 318

Research.com Recognitions

Awards & Achievements

2004 - Fellow of the Royal Society of Edinburgh

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Cognition

His main research concerns Categorization, Artificial intelligence, Perception, Facial expression and Communication. The concepts of his Categorization study are interwoven with issues in Visual perception and Face. His Artificial intelligence study integrates concerns from other disciplines, such as Pattern recognition, Statistics and Natural language processing.

Philippe G. Schyns studied Perception and Cognition that intersect with Face perception and Brain damage. His studies in Facial expression integrate themes in fields like Cognitive psychology, Disgust and Amygdala. The various areas that he examines in his Communication study include Facial recognition system, Spatial frequency and Computer vision.

His most cited work include:

  • A mechanism for impaired fear recognition after amygdala damage (1032 citations)
  • From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition (561 citations)
  • From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition (561 citations)

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

Philippe G. Schyns mainly focuses on Cognitive psychology, Artificial intelligence, Perception, Categorization and Facial expression. His Artificial intelligence research incorporates elements of Natural language processing, Computer vision and Pattern recognition. As a part of the same scientific study, Philippe G. Schyns usually deals with the Perception, concentrating on Cognitive science and frequently concerns with Brain activity and meditation.

The study incorporates disciplines such as Communication, Electroencephalography, Stimulus, Information processing and Visual perception in addition to Categorization. Philippe G. Schyns has included themes like Spatial frequency and Face perception in his Communication study. His research investigates the connection between Facial expression and topics such as Anger that intersect with problems in Emotion classification.

He most often published in these fields:

  • Cognitive psychology (30.80%)
  • Artificial intelligence (31.56%)
  • Perception (30.04%)

What were the highlights of his more recent work (between 2017-2021)?

  • Cognitive psychology (30.80%)
  • Perception (30.04%)
  • Artificial intelligence (31.56%)

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

His primary areas of study are Cognitive psychology, Perception, Artificial intelligence, Face and Facial expression. His work on Set as part of general Cognitive psychology study is frequently linked to Cultural diversity, therefore connecting diverse disciplines of science. Philippe G. Schyns has researched Perception in several fields, including Feature based and Cortex.

His studies deal with areas such as Machine learning and Pattern recognition as well as Artificial intelligence. His study in Face is interdisciplinary in nature, drawing from both Categorization, Generative model, Human–computer interaction and Information processing. The study incorporates disciplines such as Anger and Speech recognition in addition to Facial expression.

Between 2017 and 2021, his most popular works were:

  • Distinct facial expressions represent pain and pleasure across cultures (25 citations)
  • Dynamic Construction of Reduced Representations in the Brain for Perceptual Decision Behavior. (20 citations)
  • Representational interactions during audiovisual speech entrainment: Redundancy in left posterior superior temporal gyrus and synergy in left motor cortex. (17 citations)

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

  • Artificial intelligence
  • Neuroscience
  • Cognition

His primary scientific interests are in Facial expression, Artificial intelligence, Cognitive psychology, Perception and Face. As part of the same scientific family, Philippe G. Schyns usually focuses on Facial expression, concentrating on Set and intersecting with Social skills and Dynamics. All of his Artificial intelligence and Residual neural network, Convolutional neural network and Categorization investigations are sub-components of the entire Artificial intelligence study.

His research in Cognitive psychology focuses on subjects like Face, which are connected to Mental representation. Philippe G. Schyns focuses mostly in the field of Mental representation, narrowing it down to matters related to Generalization and, in some cases, Cognition. His Face research is multidisciplinary, incorporating elements of Speech recognition, Mutual information and Electroencephalography.

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

A mechanism for impaired fear recognition after amygdala damage

Ralph Adolphs;Ralph Adolphs;Frederic Gosselin;Tony W. Buchanan;Daniel Tranel.
Nature (2005)

1708 Citations

Bubbles: a technique to reveal the use of information in recognition tasks

Frédéric Gosselin;Philippe G. Schyns.
Vision Research (2001)

920 Citations

From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition

Philippe G. Schyns;Philippe G. Schyns;Aude Oliva.
Psychological Science (1994)

882 Citations

The development of features in object concepts

Philippe G. Schyns;Robert L. Goldstone;Jean-Pierre Thibaut.
Behavioral and Brain Sciences (1998)

839 Citations

Facial expressions of emotion are not culturally universal

Rachael E. Jack;Oliver G. B. Garrod;Hui Yu;Roberto Caldara.
Proceedings of the National Academy of Sciences of the United States of America (2012)

713 Citations

Transmitting and Decoding Facial Expressions

Marie L. Smith;Garrison W. Cottrell;FrédéAric Gosselin;Philippe G. Schyns.
Psychological Science (2005)

681 Citations

Dr. Angry and Mr. Smile: when categorization flexibly modifies the perception of faces in rapid visual presentations.

Philippe G Schyns;Aude Oliva.
Cognition (1999)

568 Citations

Coarse blobs or fine edges? Evidence that information diagnosticity changes the perception of complex visual stimuli.

Aude Oliva;Philippe G. Schyns.
Cognitive Psychology (1997)

534 Citations

Show Me the Features! Understanding Recognition From the Use of Visual Information

Philippe G. Schyns;Lizann Bonnar;Frédéric Gosselin.
Psychological Science (2002)

503 Citations

Cultural confusions show that facial expressions are not universal.

Rachael E. Jack;Caroline Blais;Christoph Scheepers;Philippe G. Schyns.
Current Biology (2009)

501 Citations

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Best Scientists Citing Philippe G. Schyns

Bruno Rossion

Bruno Rossion

University of Lorraine

Publications: 81

Joachim Gross

Joachim Gross

University of Münster

Publications: 58

Ralph Adolphs

Ralph Adolphs

California Institute of Technology

Publications: 53

Roberto Caldara

Roberto Caldara

University of Fribourg

Publications: 48

Paul C. Quinn

Paul C. Quinn

University of Delaware

Publications: 47

Frédéric Gosselin

Frédéric Gosselin

University of Montreal

Publications: 46

David Poeppel

David Poeppel

Ernst Strüngmann Institute for Neuroscience

Publications: 43

Gregor Thut

Gregor Thut

University of Glasgow

Publications: 40

Patrik Vuilleumier

Patrik Vuilleumier

University of Geneva

Publications: 38

Lisa Feldman Barrett

Lisa Feldman Barrett

Northeastern University

Publications: 38

Rufin VanRullen

Rufin VanRullen

Centre national de la recherche scientifique, CNRS

Publications: 36

Alexander Todorov

Alexander Todorov

University of Chicago

Publications: 32

James W. Tanaka

James W. Tanaka

University of Victoria

Publications: 32

Aude Oliva

Aude Oliva

MIT

Publications: 31

Kang Lee

Kang Lee

University of Toronto

Publications: 31

Christoph Herrmann

Christoph Herrmann

Technische Universität Braunschweig

Publications: 31

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