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 86 Citations 73,717 258 World Ranking 459 National Ranking 12

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Statistics
  • Artificial intelligence

His scientific interests lie mostly in Neuroscience, Resting state fMRI, Artificial intelligence, Brain mapping and Functional magnetic resonance imaging. His works in Default mode network, Cognition, Prefrontal cortex, Working memory and Brain activity and meditation are all subjects of inquiry into Neuroscience. His Resting state fMRI research includes themes of Nerve net, Connectome, Functional connectivity, Human Connectome Project and Cognitive science.

He interconnects Classifier and Neuroimaging in the investigation of issues within Connectome. His Artificial intelligence research incorporates themes from Machine learning, Data mining and Pattern recognition. His study looks at the relationship between Functional magnetic resonance imaging and fields such as Human brain, as well as how they intersect with chemical problems.

His most cited work include:

  • Advances in functional and structural MR image analysis and implementation as FSL. (9202 citations)
  • Correspondence of the brain's functional architecture during activation and rest. (3562 citations)
  • Correspondence of the brain's functional architecture during activation and rest. (3562 citations)

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

Christian F. Beckmann mostly deals with Neuroscience, Resting state fMRI, Artificial intelligence, Functional magnetic resonance imaging and Neuroimaging. His study in Default mode network, Cognition, Brain mapping, Temporal lobe and Prefrontal cortex is done as part of Neuroscience. His research in Default mode network intersects with topics in Precuneus and Posterior cingulate.

His Resting state fMRI study combines topics in areas such as Nerve net, Connectome, Functional connectivity, Human brain and Salience. Christian F. Beckmann combines subjects such as Machine learning and Pattern recognition with his study of Artificial intelligence. In his study, Somatosensory system is strongly linked to Sensory system, which falls under the umbrella field of Functional magnetic resonance imaging.

He most often published in these fields:

  • Neuroscience (66.04%)
  • Resting state fMRI (46.84%)
  • Artificial intelligence (33.02%)

What were the highlights of his more recent work (between 2018-2021)?

  • Neuroscience (66.04%)
  • Neuroimaging (25.76%)
  • Artificial intelligence (33.02%)

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

The scientist’s investigation covers issues in Neuroscience, Neuroimaging, Artificial intelligence, Autism and Resting state fMRI. His Neuroscience course of study focuses on Adaptation and Visual hierarchy and Visual processing. His Neuroimaging research is multidisciplinary, incorporating elements of White matter, Computational biology, Disease and Attention deficit hyperactivity disorder.

His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Pattern recognition. His study looks at the intersection of Resting state fMRI and topics like Functional connectivity with Set and Brain organization. His research integrates issues of Functional magnetic resonance imaging and Audiology in his study of Autism spectrum disorder.

Between 2018 and 2021, his most popular works were:

  • Conceptualizing mental disorders as deviations from normative functioning. (61 citations)
  • Conceptualizing mental disorders as deviations from normative functioning. (61 citations)
  • Patients with autism spectrum disorders display reproducible functional connectivity alterations. (45 citations)

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

  • Statistics
  • Neuroscience
  • Artificial intelligence

Christian F. Beckmann spends much of his time researching Neuroscience, Neuroimaging, Cognition, Artificial intelligence and Machine learning. His Neuroimaging research includes elements of Neocortex, Temporal cortex, Temporal lobe and Tractography. His Cognition research incorporates elements of Functional connectivity, Human Connectome Project and Set.

By researching both Artificial intelligence and Network architecture, he produces research that crosses academic boundaries. Christian F. Beckmann has researched Machine learning in several fields, including Range, Variation and Bayesian linear regression. His work in Somatosensory system addresses subjects such as Cerebellum, which are connected to disciplines such as Autism, Autism spectrum disorder and Functional magnetic resonance imaging.

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

Advances in functional and structural MR image analysis and implementation as FSL.

S M Smith;M Jenkinson;M W Woolrich;M W Woolrich;C F Beckmann.
NeuroImage (2004)

11079 Citations

Correspondence of the brain's functional architecture during activation and rest.

Stephen M. Smith;Peter T. Fox;Karla L. Miller;David C. Glahn.
Proceedings of the National Academy of Sciences of the United States of America (2009)

4225 Citations

Consistent resting-state networks across healthy subjects

J. S. Damoiseaux;S. A. R. B. Rombouts;F. Barkhof;P. Scheltens.
Proceedings of the National Academy of Sciences of the United States of America (2006)

4132 Citations

Investigations into resting-state connectivity using independent component analysis

Christian F Beckmann;Marilena DeLuca;Joseph T Devlin;Stephen M Smith.
Philosophical Transactions of the Royal Society B (2005)

3355 Citations

Toward discovery science of human brain function

Bharat B. Biswal;Maarten Mennes;Xi Nian Zuo;Suril Gohel.
Proceedings of the National Academy of Sciences of the United States of America (2010)

2638 Citations

Probabilistic independent component analysis for functional magnetic resonance imaging

C.F. Beckmann;S.M. Smith.
IEEE Transactions on Medical Imaging (2004)

2594 Citations

Bayesian analysis of neuroimaging data in FSL.

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

2097 Citations

A multi-modal parcellation of human cerebral cortex

Matthew F. Glasser;Timothy S. Coalson;Emma C. Robinson;Emma C. Robinson;Carl D. Hacker.
Nature (2016)

2056 Citations

Network modelling methods for FMRI.

Stephen M. Smith;Karla L. Miller;Gholamreza Salimi-Khorshidi;Matthew Webster.
NeuroImage (2011)

1778 Citations

An anatomically comprehensive atlas of the adult human brain transcriptome

Michael J. Hawrylycz;Ed S. Lein;Angela L. Guillozet-Bongaarts;Elaine H. Shen.
Nature (2012)

1707 Citations

Best Scientists Citing Christian F. Beckmann

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 564

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 244

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 243

Michael P. Milham

Michael P. Milham

University of California, Davis

Publications: 223

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 188

Bharat B. Biswal

Bharat B. Biswal

New Jersey Institute of Technology

Publications: 174

Stephen M. Smith

Stephen M. Smith

University of Oxford

Publications: 165

Serge A.R.B. Rombouts

Serge A.R.B. Rombouts

Leiden University Medical Center

Publications: 162

Peter T. Fox

Peter T. Fox

The University of Texas Health Science Center at San Antonio

Publications: 157

Edward T. Bullmore

Edward T. Bullmore

University of Cambridge

Publications: 152

Tianming Liu

Tianming Liu

University of Georgia

Publications: 150

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 145

Dimitri Van De Ville

Dimitri Van De Ville

École Polytechnique Fédérale de Lausanne

Publications: 142

Thomas E. Nichols

Thomas E. Nichols

University of Oxford

Publications: 142

Godfrey D. Pearlson

Godfrey D. Pearlson

Yale University

Publications: 137

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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