D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Neuroscience D-index 39 Citations 10,572 78 World Ranking 3463 National Ranking 1564

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Visual perception

The scientist’s investigation covers issues in Visual cortex, Neuroscience, Functional magnetic resonance imaging, Stimulus and Psychophysics. His Visual cortex study also includes

  • N2pc that connect with fields like Visual field and Visual N1,
  • Brain activity and meditation which is related to area like Visual system. His research on Functional magnetic resonance imaging focuses in particular on fMRI adaptation.

His biological study spans a wide range of topics, including Perception, Communication and Artificial intelligence. His Communication study integrates concerns from other disciplines, such as Sensory threshold and Computer vision. As part of the same scientific family, Geoffrey M. Boynton usually focuses on Psychophysics, concentrating on Spatial frequency and intersecting with Contrast and Language disorder.

His most cited work include:

  • Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1 (2037 citations)
  • Spatial attention affects brain activity in human primary visual cortex (542 citations)
  • Global effects of feature-based attention in human visual cortex (489 citations)

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

Geoffrey M. Boynton mostly deals with Neuroscience, Visual cortex, Cognitive psychology, Artificial intelligence and Stimulus. His research on Neuroscience frequently connects to adjacent areas such as Cognitive neuroscience of visual object recognition. The concepts of his Visual cortex study are interwoven with issues in N2pc, Visual memory, Functional magnetic resonance imaging and Sensory system.

His Functional magnetic resonance imaging research is multidisciplinary, incorporating elements of Motion perception, Brain activity and meditation and Communication. His Artificial intelligence study combines topics from a wide range of disciplines, such as Computer vision and Pattern recognition. Geoffrey M. Boynton interconnects Second-order stimulus and Perception in the investigation of issues within Stimulus.

He most often published in these fields:

  • Neuroscience (34.64%)
  • Visual cortex (27.37%)
  • Cognitive psychology (18.99%)

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

  • Speech recognition (8.94%)
  • Perception (13.97%)
  • Cognitive psychology (18.99%)

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

His scientific interests lie mostly in Speech recognition, Perception, Cognitive psychology, Word recognition and Retinal. His study in Perception is interdisciplinary in nature, drawing from both Stimulus and Encoding. His Stimulus study incorporates themes from Visual field, Dividing attention, Divided attention and Categorization.

His work deals with themes such as Visual perception and Contrast, which intersect with Cognitive psychology. His research integrates issues of Stimulation, Neuroscience and Vision based in his study of Retinal. His research combines Macular degeneration and Neuroscience.

Between 2017 and 2021, his most popular works were:

  • A model of ganglion axon pathways accounts for percepts elicited by retinal implants. (29 citations)
  • Parallel spatial channels converge at a bottleneck in anterior word-selective cortex. (23 citations)
  • Evidence of Serial Processing in Visual Word Recognition. (13 citations)

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

  • Neuroscience
  • Artificial intelligence
  • Cognition

Geoffrey M. Boynton mainly investigates Serial memory processing, Word recognition, Speech recognition, Linear map and Cognitive psychology. His Word recognition research focuses on subjects like Parallel processing, which are linked to Eye movement, Connectionism, Orthography, Cognition and Fixation. His work in Speech recognition tackles topics such as Visual processing which are related to areas like Lateralization of brain function, Visual word form area and Contrast.

Geoffrey M. Boynton has researched Cognitive psychology in several fields, including Visual perception and Contrast. Geoffrey M. Boynton focuses mostly in the field of Visual perception, narrowing it down to topics relating to Dyslexia and, in certain cases, Visual field. His research in Visual field intersects with topics in Noun, Stimulus, Categorization, Lexical decision task and Semantic memory.

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

Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1

Geoffrey M. Boynton;Stephen A. Engel;Gary H. Glover;David J. Heeger.
The Journal of Neuroscience (1996)

2591 Citations

Spatial attention affects brain activity in human primary visual cortex

Sunil P. Gandhi;David J. Heeger;Geoffrey M. Boynton.
Proceedings of the National Academy of Sciences of the United States of America (1999)

744 Citations

Global effects of feature-based attention in human visual cortex

Melissa Saenz;Melissa Saenz;Giedrius T. Buracas;Geoffrey M. Boynton.
Nature Neuroscience (2002)

694 Citations

Adaptation: from single cells to BOLD signals

Bart Krekelberg;Geoffrey M. Boynton;Richard J.A. van Wezel.
Trends in Neurosciences (2006)

551 Citations

Individual Differences among Grapheme-Color Synesthetes: Brain-Behavior Correlations

Edward M. Hubbard;Edward M. Hubbard;A. Cyrus Arman;Vilayanur S. Ramachandran;Geoffrey M. Boynton.
Neuron (2005)

423 Citations

Neuronal basis of contrast discrimination.

Geoffrey M. Boynton;Jonathan B. Demb;Gary H. Glover;David J. Heeger.
Vision Research (1999)

421 Citations

Feature-Based Attentional Modulations in the Absence of Direct Visual Stimulation

John T. Serences;John T. Serences;Geoffrey M. Boynton;Geoffrey M. Boynton.
Neuron (2007)

409 Citations

Functional Magnetic Resonance Imaging of Early Visual Pathways in Dyslexia

Jonathan B. Demb;Geoffrey M. Boynton;David J. Heeger.
The Journal of Neuroscience (1998)

401 Citations

Cortical Magnification within Human Primary Visual Cortex Correlates with Acuity Thresholds

Robert O. Duncan;Geoffrey M. Boynton.
Neuron (2003)

366 Citations

Motion Opponency in Visual Cortex

David J. Heeger;Geoffrey M. Boynton;Jonathan B. Demb;Eyal Seidemann.
The Journal of Neuroscience (1999)

320 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Geoffrey M. Boynton

Rainer Goebel

Rainer Goebel

Maastricht University

Publications: 99

Marisa Carrasco

Marisa Carrasco

New York University

Publications: 82

David J. Heeger

David J. Heeger

New York University

Publications: 76

Martin P. Paulus

Martin P. Paulus

Laureate Institute for Brain Research

Publications: 75

John T. Serences

John T. Serences

University of California, San Diego

Publications: 61

Brian A. Wandell

Brian A. Wandell

Stanford University

Publications: 53

Geraint Rees

Geraint Rees

University College London

Publications: 49

David Edmund Johannes Linden

David Edmund Johannes Linden

Maastricht University

Publications: 47

Alan N. Simmons

Alan N. Simmons

University of California, San Diego

Publications: 47

Nikos K. Logothetis

Nikos K. Logothetis

Max Planck Institute for Biological Cybernetics

Publications: 47

Nikolaus Kriegeskorte

Nikolaus Kriegeskorte

Columbia University

Publications: 45

Randy L. Buckner

Randy L. Buckner

Harvard University

Publications: 44

Maurizio Corbetta

Maurizio Corbetta

University of Padua

Publications: 38

Zoe Kourtzi

Zoe Kourtzi

University of Cambridge

Publications: 38

Mark D'Esposito

Mark D'Esposito

University of California, Berkeley

Publications: 38

Lars Muckli

Lars Muckli

University of Glasgow

Publications: 36

Trending Scientists

Michel Destrade

Michel Destrade

National University of Ireland, Galway

Dominique Feillet

Dominique Feillet

École des Mines de Saint-Étienne

Roger L. Kimmel

Roger L. Kimmel

United States Air Force Research Laboratory

Noel Wayne Anderson

Noel Wayne Anderson

John Deere (Germany)

Waleed E. Mahmoud

Waleed E. Mahmoud

King Abdulaziz University

Stephen G. Compton

Stephen G. Compton

University of Leeds

Wen Xin Chen

Wen Xin Chen

University of Minnesota

Thomas Guillemaud

Thomas Guillemaud

Centre national de la recherche scientifique, CNRS

Young-Mi Go

Young-Mi Go

Emory University

Kallanthottathil G. Rajeev

Kallanthottathil G. Rajeev

Alnylam Pharmaceuticals (United States)

Jody Manischewitz

Jody Manischewitz

Center for Biologics Evaluation and Research

Gordon W. Arbuthnott

Gordon W. Arbuthnott

Okinawa Institute of Science and Technology

Christopher I. Petkov

Christopher I. Petkov

Newcastle University

Po-Huang Lee

Po-Huang Lee

National Taiwan University

Martin Reck

Martin Reck

Autonomous University of Madrid

Gráinne Conole

Gráinne Conole

University of Leicester

Something went wrong. Please try again later.