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 76 Citations 50,355 212 World Ranking 1070 National Ranking 571

Research.com Recognitions

Awards & Achievements

2013 - E. Mead Johnson Award, Society for Pediatric Research

Member of the Association of American Physicians

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Cognition
  • Internal medicine

His scientific interests lie mostly in Neuroscience, Brain mapping, Resting state fMRI, Artificial intelligence and Cognition. His research ties Complex system and Neuroscience together. His study in Brain mapping is interdisciplinary in nature, drawing from both Frontal lobe, Connectome, Neuroimaging, Cortex and Human brain.

His Resting state fMRI research includes elements of Motion, Functional magnetic resonance imaging and Functional connectivity. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition. His research in the fields of Developmental cognitive neuroscience overlaps with other disciplines such as Correlation.

His most cited work include:

  • Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion (4634 citations)
  • Functional network organization of the human brain (2413 citations)
  • Toward discovery science of human brain function (2229 citations)

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

His primary areas of study are Neuroscience, Resting state fMRI, Brain mapping, Cognition and Neuroimaging. Functional connectivity, Default mode network, Functional magnetic resonance imaging, Human brain and Cerebral cortex are the primary areas of interest in his Neuroscience study. His work on Task-positive network as part of general Default mode network research is often related to Standby power, thus linking different fields of science.

Bradley L. Schlaggar has included themes like Cerebellum, Stimulus, Artificial intelligence and Brain organization in his Resting state fMRI study. The concepts of his Brain mapping study are interwoven with issues in Frontal lobe, Nerve net and Functional brain. His work in Cognition covers topics such as Audiology which are related to areas like Language development.

He most often published in these fields:

  • Neuroscience (43.72%)
  • Resting state fMRI (23.72%)
  • Brain mapping (19.53%)

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

  • Neuroscience (43.72%)
  • Default mode network (14.88%)
  • Tics (11.16%)

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

Bradley L. Schlaggar mainly investigates Neuroscience, Default mode network, Tics, Functional connectivity and Resting state fMRI. His Cerebral cortex study, which is part of a larger body of work in Neuroscience, is frequently linked to Repetition, bridging the gap between disciplines. Bradley L. Schlaggar combines subjects such as Anterior cingulate cortex, Insula, Control network and Posterior parietal cortex with his study of Default mode network.

His studies in Functional connectivity integrate themes in fields like Joint attention, Functional magnetic resonance imaging, Functional brain and Clinical psychology. Bradley L. Schlaggar has researched Functional brain in several fields, including Functional variation, Brain mapping, Evolutionary biology and Brain organization. His research in Resting state fMRI tackles topics such as Cerebellum which are related to areas like Neuroplasticity, Human brain, Amplitude of low frequency fluctuations and Supplementary motor area.

Between 2018 and 2021, his most popular works were:

  • Trait-like variants in human functional brain networks. (60 citations)
  • Trait-like variants in human functional brain networks. (60 citations)
  • Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals. (50 citations)

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

  • Neuroscience
  • Cognition
  • Internal medicine

Bradley L. Schlaggar mainly focuses on Resting state fMRI, Functional connectivity, Neuroscience, Pediatrics and Autism. The various areas that he examines in his Functional connectivity study include Functional magnetic resonance imaging, Functional brain and Control subjects. His research on Neuroscience frequently links to adjacent areas such as Set.

The Pediatrics study which covers Anxiety disorder that intersects with Phonic Tic and Tourette syndrome. His Autism research is multidisciplinary, incorporating elements of Provisional tic disorder, Tic disorder, Anxiety, Pathophysiology and Severity of illness. His Default mode network research incorporates elements of Repetitive behavior, Autism spectrum disorder, Audiology, Construct validity 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

Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

Jonathan D. Power;Kelly Anne Barnes;Abraham Z. Snyder;Bradley L. Schlaggar.
NeuroImage (2012)

6148 Citations

Functional network organization of the human brain

Jonathan D. Power;Alexander L. Cohen;Steven M. Nelson;Gagan S. Wig.
Neuron (2011)

3439 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)

2919 Citations

Distinct brain networks for adaptive and stable task control in humans

Nico U. F. Dosenbach;Damien A. Fair;Francis M. Miezin;Alexander L. Cohen.
Proceedings of the National Academy of Sciences of the United States of America (2007)

2580 Citations

Methods to detect, characterize, and remove motion artifact in resting state fMRI

Jonathan D. Power;Anish Mitra;Timothy O. Laumann;Abraham Z. Snyder.
NeuroImage (2014)

2406 Citations

Prediction of Individual Brain Maturity Using fMRI

Nico U.F. Dosenbach;Binyam Nardos;Alexander L. Cohen;Damien A. Fair.
Science (2010)

1895 Citations

The Human Connectome Project: A data acquisition perspective

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

1787 Citations

A dual-networks architecture of top-down control.

Nico U.F. Dosenbach;Damien A. Fair;Alexander L. Cohen;Bradley L. Schlaggar.
Trends in Cognitive Sciences (2008)

1762 Citations

A Core System for the Implementation of Task Sets

Nico U.F. Dosenbach;Kristina M. Visscher;Erica D. Palmer;Francis M. Miezin.
Neuron (2006)

1744 Citations

Functional brain networks develop from a "local to distributed" organization

Damien A. Fair;Alexander L. Cohen;Jonathan D. Power;Nico U. F. Dosenbach.
PLOS Computational Biology (2009)

1583 Citations

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