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
Neuroscience D-index 99 Citations 40,691 235 World Ranking 272 National Ranking 164

Research.com Recognitions

Awards & Achievements

2013 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Cognition

Scott T. Grafton mainly investigates Neuroscience, Cognitive psychology, Cognition, Posterior parietal cortex and Brain mapping. The concepts of his Neuroscience study are interwoven with issues in Premotor cortex and Cerebral blood flow. His Cognitive psychology research incorporates themes from Parietal lobe, Perception and Functional magnetic resonance imaging, Angular gyrus.

His studies deal with areas such as Cognitive science and Human brain as well as Cognition. His Posterior parietal cortex study combines topics from a wide range of disciplines, such as Lateralization of brain function and Transcranial magnetic stimulation. His work carried out in the field of Brain mapping brings together such families of science as Magnetic resonance imaging and Lobe, Anatomy.

His most cited work include:

  • Wandering Minds: The Default Network and Stimulus-Independent Thought (2051 citations)
  • Automated Image Registration: I. General Methods and Intrasubject, Intramodality Validation (1622 citations)
  • Dynamic reconfiguration of human brain networks during learning. (1061 citations)

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

His primary scientific interests are in Neuroscience, Cognitive psychology, Artificial intelligence, Cognition and Brain mapping. His Neuroscience study which covers Premotor cortex that intersects with Supplementary motor area. While the research belongs to areas of Cognitive psychology, Scott T. Grafton spends his time largely on the problem of Motor skill, intersecting his research to questions surrounding Motor learning.

The study incorporates disciplines such as Machine learning, Connectome, Computer vision and Pattern recognition in addition to Artificial intelligence. Cognition and Cognitive science are commonly linked in his work. His research is interdisciplinary, bridging the disciplines of Transcranial magnetic stimulation and Brain mapping.

He most often published in these fields:

  • Neuroscience (41.19%)
  • Cognitive psychology (18.97%)
  • Artificial intelligence (16.26%)

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

  • Neuroscience (41.19%)
  • Artificial intelligence (16.26%)
  • Cognitive psychology (18.97%)

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

Scott T. Grafton focuses on Neuroscience, Artificial intelligence, Cognitive psychology, Diffusion MRI and Menstrual cycle. His Neuroimaging, Prefrontal cortex, Brain activity and meditation, Hippocampus and Primary motor cortex study are his primary interests in Neuroscience. His Artificial intelligence research includes themes of State, Computer vision and Pattern recognition.

His research in Cognitive psychology intersects with topics in Cognition, Selection and Motor skill. Scott T. Grafton has included themes like White matter, Voxel and Human Connectome Project in his Diffusion MRI study. His biological study spans a wide range of topics, including Posterior parietal cortex and Set.

Between 2017 and 2021, his most popular works were:

  • The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure. (49 citations)
  • Spectral mapping of brain functional connectivity from diffusion imaging. (44 citations)
  • Predicting future learning from baseline network architecture. (34 citations)

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

  • Artificial intelligence
  • Neuroscience
  • Cognition

His primary areas of study are Diffusion MRI, Cognitive psychology, Neuroscience, Human brain and Voxel. His Diffusion MRI research includes elements of Neurophysiology, White matter and Spatial normalization. His Cognitive psychology research incorporates themes from Dreyfus model of skill acquisition, Cognition, Motor skill and Choking.

His work on Automaticity as part of general Cognition research is frequently linked to Graph theory, thereby connecting diverse disciplines of science. The Neuroscience study combines topics in areas such as Hormone and Menstrual cycle. His research on Voxel also deals with topics like

  • Tractography and related Algorithm, Orientation and Imaging phantom,
  • Human Connectome Project which intersects with area such as Biological system, Probabilistic logic, Fractional anisotropy and Brain mapping.

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

Wandering Minds: The Default Network and Stimulus-Independent Thought

Malia F. Mason;Michael I. Norton;John D. Van Horn;Daniel M. Wegner.
Science (2007)

2862 Citations

Automated Image Registration: I. General Methods and Intrasubject, Intramodality Validation

Roger P. Woods;Scott T. Grafton;Colin J. Holmes;Simon R. Cherry.
Journal of Computer Assisted Tomography (1998)

2056 Citations

Localization of grasp representations in humans by positron emission tomography. 2. Observation compared with imagination.

Scott T. Grafton;Michael A. Arbib;Luciano Fadiga;Giacomo Rizzolatti.
Experimental Brain Research (1996)

1531 Citations

Forward modeling allows feedback control for fast reaching movements

Michel Desmurget;Scott Grafton.
Trends in Cognitive Sciences (2000)

1517 Citations

Dynamic reconfiguration of human brain networks during learning.

Danielle S. Bassett;Nicholas F. Wymbs;Mason A. Porter;Peter J. Mucha.
Proceedings of the National Academy of Sciences of the United States of America (2011)

1325 Citations

Amygdala activity related to enhanced memory for pleasant and aversive stimuli.

Stephan B. Hamann;Timothy D. Ely;Scott T. Grafton;Clinton D. Kilts.
Nature Neuroscience (1999)

1311 Citations

Automated image registration: II. Intersubject validation of linear and nonlinear models.

Roger P. Woods;Scott T. Grafton;John D. G. Watson;Nancy L. Sicotte.
Journal of Computer Assisted Tomography (1998)

1220 Citations

Role of the posterior parietal cortex in updating reaching movements to a visual target.

M. Desmurget;M. Desmurget;C. M. Epstein;R. S. Turner;C. Prablanc.
Nature Neuroscience (1999)

931 Citations

Functional mapping of sequence learning in normal humans

Scott T. Grafton;Eliot Hazeltine;Richard Ivry.
Journal of Cognitive Neuroscience (1995)

899 Citations

Premotor Cortex Activation during Observation and Naming of Familiar Tools

Scott T. Grafton;Luciano Fadiga;Michael A. Arbib;Giacomo Rizzolatti.
NeuroImage (1997)

876 Citations

Best Scientists Citing Scott T. Grafton

Danielle S. Bassett

Danielle S. Bassett

University of Pennsylvania

Publications: 258

Arthur W. Toga

Arthur W. Toga

University of Southern California

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Paul M. Thompson

Paul M. Thompson

University of Southern California

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Susumu Mori

Susumu Mori

Johns Hopkins University School of Medicine

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Mark Hallett

Mark Hallett

National Institutes of Health

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Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

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Giacomo Rizzolatti

Giacomo Rizzolatti

University of Parma

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Jonathan Smallwood

Jonathan Smallwood

Queen's University

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Luciano Fadiga

Luciano Fadiga

University of Ferrara

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Karl J. Friston

Karl J. Friston

University College London

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Gereon R. Fink

Gereon R. Fink

University of Cologne

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Peter C.M. van Zijl

Peter C.M. van Zijl

Kennedy Krieger Institute

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Richard F. Betzel

Richard F. Betzel

Indiana University

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Umberto Castiello

Umberto Castiello

University of Padua

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Vince D. Calhoun

Vince D. Calhoun

Georgia State University

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Jean M. Vettel

Jean M. Vettel

United States Army Research Laboratory

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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