D-Index & Metrics Best Publications
Neuroscience
UK
2023

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 107 Citations 64,048 201 World Ranking 340 National Ranking 43

Research.com Recognitions

Awards & Achievements

2023 - Research.com Neuroscience in United Kingdom Leader Award

Member of the Association of American Physicians

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Statistics

Timothy E.J. Behrens mostly deals with Neuroscience, Diffusion MRI, Brain mapping, Cognitive psychology and Artificial intelligence. As a member of one scientific family, Timothy E.J. Behrens mostly works in the field of Neuroscience, focusing on Anatomy and, on occasion, Extreme capsule. His Diffusion MRI research includes elements of White matter, Functional imaging and Human brain.

Timothy E.J. Behrens focuses mostly in the field of Brain mapping, narrowing it down to matters related to Functional magnetic resonance imaging and, in some cases, Diffusion-Weighted Magnetic Resonance Imaging. His studies in Cognitive psychology integrate themes in fields like Developmental psychology, Value of information and Ventromedial prefrontal cortex. Timothy E.J. Behrens has included themes like Machine learning, Neuroimaging and Pattern recognition in his Artificial intelligence study.

His most cited work include:

  • The WU-Minn Human Connectome Project: An Overview (2521 citations)
  • Characterization and propagation of uncertainty in diffusion-weighted MR imaging. (2280 citations)
  • Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging. (1868 citations)

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

Neuroscience, Artificial intelligence, Diffusion MRI, Prefrontal cortex and Cognitive psychology are his primary areas of study. His Neuroscience study focuses mostly on Brain mapping, Anterior cingulate cortex, Orbitofrontal cortex, Human brain and Neuroimaging. The study incorporates disciplines such as Machine learning, Computer vision and Pattern recognition in addition to Artificial intelligence.

His study in the field of Tractography is also linked to topics like Deep brain stimulation. His work on Diffusion Tractography is typically connected to Diffusion as part of general Tractography study, connecting several disciplines of science. The Cued speech research Timothy E.J. Behrens does as part of his general Cognitive psychology study is frequently linked to other disciplines of science, such as Task, Magnetoencephalography and Mechanism, therefore creating a link between diverse domains of science.

He most often published in these fields:

  • Neuroscience (76.11%)
  • Artificial intelligence (28.67%)
  • Diffusion MRI (22.53%)

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

  • Neuroscience (76.11%)
  • Task (15.36%)
  • Cognitive science (15.70%)

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

Timothy E.J. Behrens mostly deals with Neuroscience, Task, Cognitive science, Reinforcement learning and Inference. His research investigates the connection between Neuroscience and topics such as Alpha that intersect with issues in Sensory processing. The various areas that he examines in his Cognitive science study include Spatial cognition, Sensory system, Hippocampal formation, Entorhinal cortex and Structure.

Timothy E.J. Behrens interconnects Transfer of learning, Cognitive map, Representation and Biological system in the investigation of issues within Inference. While the research belongs to areas of Prefrontal cortex, Timothy E.J. Behrens spends his time largely on the problem of Brainstem, intersecting his research to questions surrounding Diffusion MRI. Timothy E.J. Behrens combines subjects such as Sentence and Episodic memory with his study of Cognitive psychology.

Between 2017 and 2021, his most popular works were:

  • What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior. (210 citations)
  • What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior. (210 citations)
  • Human Replay Spontaneously Reorganizes Experience (116 citations)

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

  • Neuroscience
  • Artificial intelligence
  • Statistics

Neuroscience, Cognitive science, Inference, Hippocampus and Hippocampal formation are his primary areas of study. His work in Neuroscience is not limited to one particular discipline; it also encompasses Diffusion MRI. Timothy E.J. Behrens has researched Cognitive science in several fields, including Structure, Representation and Spatial cognition.

His work carried out in the field of Inference brings together such families of science as Entropy, Biological system and Multivariate statistics. His Hippocampus research is multidisciplinary, relying on both Interference theory, Recall, Neocortex, Inhibitory postsynaptic potential and Engram. His Hippocampal formation research is multidisciplinary, incorporating elements of Artificial neural network and Sensory system.

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

The WU-Minn Human Connectome Project: An Overview

David C. Van Essen;Stephen M. Smith;M Deanna;Timothy Edward John Behrens.
NeuroImage (2013)

3885 Citations

Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

Timothy E.J. Behrens;M. W. Woolrich;Mi Jenkinson;H. Johansen-Berg.
Magnetic Resonance in Medicine (2003)

3177 Citations

Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging

T E J Behrens;H Johansen-Berg;M W Woolrich;M W Woolrich;S M Smith.
Nature Neuroscience (2003)

2465 Citations

Bayesian analysis of neuroimaging data in FSL.

Mark William Woolrich;Saâd Jbabdi;Brian Patenaude;Michael A. Chappell.
NeuroImage (2009)

2398 Citations

Learning the value of information in an uncertain world

Timothy E J Behrens;Mark W Woolrich;Mark E Walton;Matthew F S Rushworth;Matthew F S Rushworth.
Nature Neuroscience (2007)

1859 Citations

The Human Connectome Project: A data acquisition perspective

D. C. Van Essen;Kamil Ugurbil;Edward J Auerbach.
NeuroImage (2012)

1787 Citations

Multilevel linear modelling for FMRI group analysis using Bayesian inference.

Mark W. Woolrich;Mark W. Woolrich;Timothy Edward John Behrens;Timothy Edward John Behrens;Christian F. Beckmann;Christian F. Beckmann;Mark Jenkinson.
NeuroImage (2004)

1623 Citations

Training induces changes in white-matter architecture

Jan Scholz;Miriam C Klein;Timothy E J Behrens;Heidi Johansen-Berg.
Nature Neuroscience (2009)

1569 Citations

Triangulating a Cognitive Control Network Using Diffusion-Weighted Magnetic Resonance Imaging (MRI) and Functional MRI

Adam R. Aron;Tim E. Behrens;Steve Smith;Michael J. Frank.
The Journal of Neuroscience (2007)

1055 Citations

Frontal cortex and reward-guided learning and decision-making.

Matthew F.S. Rushworth;Matthew F.S. Rushworth;MaryAnn P. Noonan;MaryAnn P. Noonan;Erie D. Boorman;Erie D. Boorman;Erie D. Boorman;Mark E. Walton;Mark E. Walton.
Neuron (2011)

1053 Citations

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

Contact us

Best Scientists Citing Timothy E.J. Behrens

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 303

Karl J. Friston

Karl J. Friston

University College London

Publications: 175

Christian F. Beckmann

Christian F. Beckmann

Radboud University Nijmegen

Publications: 171

Raymond J. Dolan

Raymond J. Dolan

University College London

Publications: 156

Rogier B. Mars

Rogier B. Mars

Radboud University Nijmegen

Publications: 154

Peter T. Fox

Peter T. Fox

The University of Texas Health Science Center at San Antonio

Publications: 136

Stephen M. Smith

Stephen M. Smith

University of Oxford

Publications: 136

Danielle S. Bassett

Danielle S. Bassett

Santa Fe Institute

Publications: 131

Mark W. Woolrich

Mark W. Woolrich

University of Oxford

Publications: 129

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 122

Matthew F. S. Rushworth

Matthew F. S. Rushworth

University of Oxford

Publications: 117

Thomas E. Nichols

Thomas E. Nichols

University of Oxford

Publications: 116

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 113

Klaas E. Stephan

Klaas E. Stephan

University of Zurich

Publications: 111

Geoffrey Schoenbaum

Geoffrey Schoenbaum

National Institutes of Health

Publications: 109

Tianzi Jiang

Tianzi Jiang

Chinese Academy of Sciences

Publications: 107

Trending Scientists

Jörg Ott

Jörg Ott

Technical University of Munich

Qiang Xu

Qiang Xu

Chengdu University of Technology

Hiroaki Imai

Hiroaki Imai

Keio University

Liuzhang Ouyang

Liuzhang Ouyang

South China University of Technology

David J. Lockwood

David J. Lockwood

National Research Council Canada

Jian Zhang

Jian Zhang

Fudan University

Paul G. Rodhouse

Paul G. Rodhouse

British Antarctic Survey

Hue H. Luu

Hue H. Luu

University of Chicago

Masahiko Ikeuchi

Masahiko Ikeuchi

University of Tokyo

Pablo Bringas

Pablo Bringas

University of Southern California

Berthold Langguth

Berthold Langguth

University of Regensburg

Patrick D. Wall

Patrick D. Wall

University College London

Martin Bobak

Martin Bobak

University College London

Marc T. Goodman

Marc T. Goodman

Cedars-Sinai Medical Center

Michael Mintrom

Michael Mintrom

Monash University

Jeremy Rayner

Jeremy Rayner

Johnson-Shoyama Graduate School of Public Policy

Something went wrong. Please try again later.