D-Index & Metrics Best Publications

Timothy O. Laumann

Washington University in St. Louis
United States

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 Citations Publications World Ranking National Ranking

Rising Stars D-index 34 Citations 13,376 58 World Ranking 848 National Ranking 170

Neuroscience D-index 36 Citations 15,641 55 World Ranking 5608 National Ranking 2422

Research.com Recognitions

Awards & Achievements

2022 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study he is best known for:

Neuroscience
Artificial intelligence
Machine learning

Neuroscience, Resting state fMRI, Brain mapping, Functional connectivity and Functional brain are his primary areas of study. His research related to Human brain, Functional magnetic resonance imaging, Cognition, Connectome and Cerebral cortex might be considered part of Neuroscience. His Human brain research incorporates themes from Functional networks and Task-positive network.

In his articles, Timothy O. Laumann combines various disciplines, including Resting state fMRI and Correlation. His Functional connectivity research includes themes of Voxel and Cortical surface. His biological study spans a wide range of topics, including Motion and Artifact.

His most cited work include:

Functional network organization of the human brain (2413 citations)
Methods to detect, characterize, and remove motion artifact in resting state fMRI (1666 citations)
Resting-state fMRI in the Human Connectome Project (856 citations)

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

The scientist’s investigation covers issues in Neuroscience, Resting state fMRI, Functional connectivity, Functional magnetic resonance imaging and Human brain. His is doing research in Cerebral cortex, Cognition, Default mode network, Connectome and Task-positive network, both of which are found in Neuroscience. His Resting state fMRI study combines topics from a wide range of disciplines, such as Artificial intelligence, Artifact, Human Connectome Project and Brain mapping.

Timothy O. Laumann combines subjects such as Voxel and Nerve net with his study of Brain mapping. The concepts of his Functional magnetic resonance imaging study are interwoven with issues in Similarity, Electrophysiology and Dimensionality reduction. His Human brain research is multidisciplinary, incorporating perspectives in Functional networks, Bioinformatics and Brain organization.

He most often published in these fields:

Neuroscience (59.18%)
Resting state fMRI (40.82%)
Functional connectivity (32.65%)

What were the highlights of his more recent work (between 2019-2021)?

Neuroscience (59.18%)
Artificial intelligence (18.37%)
Cognition (18.37%)

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

His primary scientific interests are in Neuroscience, Artificial intelligence, Cognition, Default mode network and Computer vision. Neuroscience is a component of his Resting state fMRI and Cerebral cortex studies. His Artificial intelligence study integrates concerns from other disciplines, such as Diffusion MRI, Diffusion imaging and Pattern recognition.

His study in Cognition is interdisciplinary in nature, drawing from both Neural activity and Human brain. His research in Default mode network focuses on subjects like Anterior cingulate cortex, which are connected to Salience, Somatosensory system and Functional connectivity. His Motion estimation, Filter and Motion study in the realm of Computer vision interacts with subjects such as Head and Band-stop filter.

Between 2019 and 2021, his most popular works were:

Towards Reproducible Brain-Wide Association Studies (57 citations)
Correction of respiratory artifacts in MRI head motion estimates (42 citations)
Organization of Propagated Intrinsic Brain Activity in Individual Humans. (18 citations)

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

Functional network organization of the human brain

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

3439 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

Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI

Alexander Schaefer;Ru Kong;Evan M Gordon;Timothy O Laumann.
Cerebral Cortex (2018)

1230 Citations

Resting-state fMRI in the Human Connectome Project

S M Smith;C F Beckmann;J Andersson;E J Auerbach.
NeuroImage (2013)

1190 Citations

Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations

Evan M. Gordon;Timothy O. Laumann;Babatunde Adeyemo;Jeremy F. Huckins.
Cerebral Cortex (2016)

980 Citations

Precision Functional Mapping of Individual Human Brains

Evan M. Gordon;Timothy O. Laumann;Adrian W. Gilmore;Adrian W. Gilmore;Dillan J. Newbold.
Neuron (2017)

707 Citations

Functional System and Areal Organization of a Highly Sampled Individual Human Brain.

Timothy O. Laumann;Evan M. Gordon;Babatunde Adeyemo;Abraham Z. Snyder.
Neuron (2015)

669 Citations

Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation

Caterina Gratton;Timothy O. Laumann;Ashley N. Nielsen;Deanna J. Greene.
Neuron (2018)

521 Citations

Informatics and data mining tools and strategies for the human connectome project.

Daniel S. Marcus;John W. Harwell;Timothy R. Olsen;Michael R. Hodge.
Frontiers in Neuroinformatics (2011)

434 Citations

On the Stability of BOLD fMRI Correlations

Timothy O. Laumann;Abraham Z. Snyder;Anish Mitra;Evan M. Gordon.
Cerebral Cortex (2016)

409 Citations

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Frequent Co-Authors

External Links

Personal Website for Timothy O. Laumann