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 33 Citations 10,733 68 World Ranking 4777 National Ranking 2056

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Cognition
  • Functional magnetic resonance imaging

The scientist’s investigation covers issues in Neuroscience, Brain mapping, Functional brain, Cognition and Functional connectivity. His study in the field of Neuropsychology, Human brain, Resting state fMRI and Frontal lobe is also linked to topics like Correlation. As part of the same scientific family, Steven M. Nelson usually focuses on Human brain, concentrating on Functional networks and intersecting with Theoretical computer science, Sensory system, Complex system, Default mode network and Task-positive network.

His Brain mapping research is multidisciplinary, incorporating elements of Occipital lobe, Nerve net and Functional imaging. Steven M. Nelson focuses mostly in the field of Cognition, narrowing it down to matters related to Cognitive psychology and, in some cases, Thalamus, Stimulus, Functional magnetic resonance imaging and Functional neuroimaging. His work on Connectome and Connectomics as part of general Functional connectivity research is often related to Myelin sheath, thus linking different fields of science.

His most cited work include:

  • Functional network organization of the human brain (2413 citations)
  • Prediction of Individual Brain Maturity Using fMRI (1383 citations)
  • Functional System and Areal Organization of a Highly Sampled Individual Human Brain. (507 citations)

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

Steven M. Nelson mainly investigates Neuroscience, Human brain, Resting state fMRI, Functional connectivity and Cognition. Brain mapping, Posterior parietal cortex, Cerebral cortex, Functional magnetic resonance imaging and Default mode network are among the areas of Neuroscience where Steven M. Nelson concentrates his study. His Brain mapping research focuses on Cognitive psychology and how it connects with Episodic memory.

His work is dedicated to discovering how Human brain, Functional networks are connected with Cerebellum and Cytoarchitecture and other disciplines. His study looks at the intersection of Functional connectivity and topics like Functional brain with Evolutionary biology. His work in Cognition addresses subjects such as Stimulus, which are connected to disciplines such as Perception.

He most often published in these fields:

  • Neuroscience (93.33%)
  • Human brain (58.67%)
  • Resting state fMRI (53.33%)

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

  • Default mode network (45.33%)
  • Cerebral cortex (52.00%)
  • Neuroscience (93.33%)

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

Steven M. Nelson focuses on Default mode network, Cerebral cortex, Neuroscience, Human brain and Functional connectivity. His Default mode network research integrates issues from Artificial intelligence and Pattern recognition. His Cerebral cortex research incorporates themes from Posttraumatic stress, Clinical psychology, Major depressive disorder, Depression and Cortical volume.

Steven M. Nelson is involved in the study of Neuroscience that focuses on Resting state fMRI in particular. Human brain and Functional magnetic resonance imaging are frequently intertwined in his study. Steven M. Nelson has researched Functional connectivity in several fields, including Psychiatry, Amygdala and Salience.

Between 2019 and 2021, his most popular works were:

  • Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals. (50 citations)
  • Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals. (50 citations)
  • Individual-specific functional connectivity of the amygdala: A substrate for precision psychiatry. (33 citations)

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

  • Neuroscience
  • Cognition
  • Functional magnetic resonance imaging

Cerebral cortex, Default mode network, Salience, Human brain and Dorsum are his primary areas of study. As part of his studies on Default mode network, Steven M. Nelson often connects relevant subjects like Essential tremor. His Essential tremor research includes themes of Caudate nucleus, Resting state fMRI and Thalamus.

His Thalamus study necessitates a more in-depth grasp of Neuroscience. His Salience research is multidisciplinary, relying on both Psychiatry, Functional connectivity and Amygdala.

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)

2810 Citations

Prediction of Individual Brain Maturity Using fMRI

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

1618 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)

527 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)

457 Citations

Role of the anterior insula in task-level control and focal attention

Steven M. Nelson;Nico U. F. Dosenbach;Alexander L. Cohen;Mark E. Wheeler.
Brain Structure & Function (2010)

448 Citations

A Parcellation Scheme for Human Left Lateral Parietal Cortex

Steven M. Nelson;Alexander L. Cohen;Jonathan D. Power;Gagan S. Wig.
Neuron (2010)

364 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)

339 Citations

On the Stability of BOLD fMRI Correlations

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

326 Citations

Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI

Elisabeth J. Ploran;Steven M. Nelson;Katerina Velanova;David I. Donaldson.
The Journal of Neuroscience (2007)

291 Citations

A parietal memory network revealed by multiple MRI methods

Adrian W. Gilmore;Steven M. Nelson;Kathleen B. McDermott.
Trends in Cognitive Sciences (2015)

177 Citations

Best Scientists Citing Steven M. Nelson

Danielle S. Bassett

Danielle S. Bassett

University of Pennsylvania

Publications: 145

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 114

Michael P. Milham

Michael P. Milham

University of California, Davis

Publications: 102

Theodore D. Satterthwaite

Theodore D. Satterthwaite

University of Pennsylvania

Publications: 88

Jiang Qiu

Jiang Qiu

Southwest University

Publications: 79

Yong He

Yong He

Beijing Normal University

Publications: 76

Richard F. Betzel

Richard F. Betzel

Indiana University

Publications: 75

Bradley L. Schlaggar

Bradley L. Schlaggar

Johns Hopkins University School of Medicine

Publications: 73

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 72

Steven E. Petersen

Steven E. Petersen

Washington University in St. Louis

Publications: 72

Abraham Z. Snyder

Abraham Z. Snyder

Washington University in St. Louis

Publications: 72

Olaf Sporns

Olaf Sporns

Indiana University

Publications: 72

Xi-Nian Zuo

Xi-Nian Zuo

Chinese Academy of Sciences

Publications: 70

Michael W. Cole

Michael W. Cole

Rutgers, The State University of New Jersey

Publications: 67

B.T. Thomas Yeo

B.T. Thomas Yeo

National University of Singapore

Publications: 66

Damien A. Fair

Damien A. Fair

University of Minnesota

Publications: 63

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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