World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
37
Citations
16646
World Ranking
8655
National Ranking
3673

Steven M. Nelson publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Steven M. Nelson sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 69 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Steven M. Nelson D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Steven M. Nelson sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 37 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

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.

Best Publications

  • Functional network organization of the human brain

    Jonathan D. Power;Alexander L. Cohen;Steven M. Nelson;Gagan S. Wig

  • Prediction of Individual Brain Maturity Using fMRI

    Nico U.F. Dosenbach;Binyam Nardos;Alexander L. Cohen;Damien A. Fair

  • Precision Functional Mapping of Individual Human Brains

    Evan M. Gordon;Timothy O. Laumann;Adrian W. Gilmore;Adrian W. Gilmore;Dillan J. Newbold

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

    Timothy O. Laumann;Evan M. Gordon;Babatunde Adeyemo;Abraham Z. Snyder

  • 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

  • On the Stability of BOLD fMRI Correlations

    Timothy O. Laumann;Abraham Z. Snyder;Anish Mitra;Evan M. Gordon

  • 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

  • A Parcellation Scheme for Human Left Lateral Parietal Cortex

    Steven M. Nelson;Alexander L. Cohen;Jonathan D. Power;Gagan S. Wig

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

    Elisabeth J. Ploran;Steven M. Nelson;Katerina Velanova;David I. Donaldson

  • Spatial and Temporal Organization of the Individual Human Cerebellum

    Scott Marek;Joshua S. Siegel;Evan M. Gordon;Evan M. Gordon;Ryan V. Raut

  • A parietal memory network revealed by multiple MRI methods

    Adrian W. Gilmore;Steven M. Nelson;Kathleen B. McDermott

  • Brain-behavior correlations: Two paths toward reliability

    Unknown

  • Individual-specific features of brain systems identified with resting state functional correlations

    Evan M. Gordon;Evan M. Gordon;Timothy O. Laumann;Babatunde Adeyemo;Adrian W. Gilmore

  • Trait-like variants in human functional brain networks.

    Benjamin A. Seitzman;Caterina Gratton;Caterina Gratton;Timothy O. Laumann;Evan M. Gordon;Evan M. Gordon

  • Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals.

    Deanna J. Greene;Scott Marek;Evan M. Gordon;Evan M. Gordon;Joshua S. Siegel

  • Defining Individual-Specific Functional Neuroanatomy for Precision Psychiatry.

    Caterina Gratton;Brian T. Kraus;Deanna J. Greene;Evan M. Gordon

  • Default-mode network streams for coupling to language and control systems

    Evan M. Gordon;Evan M. Gordon;Evan M. Gordon;Timothy O. Laumann;Scott Marek;Ryan V. Raut

  • Parcellating an Individual Subject's Cortical and Subcortical Brain Structures Using Snowball Sampling of Resting-State Correlations

    Gagan S. Wig;Timothy O. Laumann;Alexander L. Cohen;Jonathan D. Power

  • Three Distinct Sets of Connector Hubs Integrate Human Brain Function

    Evan M. Gordon;Evan M. Gordon;Charles J. Lynch;Charles J. Lynch;Caterina Gratton;Timothy O. Laumann

  • Individual-specific functional connectivity of the amygdala: A substrate for precision psychiatry.

    Chad M. Sylvester;Qiongru Yu;A. Benjamin Srivastava;A. Benjamin Srivastava;Scott Marek

  • Identifying basal ganglia divisions in individuals using resting-state functional connectivity MRI

    Kelly Anne Barnes;Alexander L. Cohen;Jonathan D. Power;Steven M. Nelson

Frequent Co-Authors

Evan M. Gordon
Evan M. Gordon Washington University in St. Louis
Bradley L. Schlaggar
Bradley L. Schlaggar Kennedy Krieger Institute
Steven E. Petersen
Steven E. Petersen Washington University in St. Louis
Kathleen B. McDermott
Kathleen B. McDermott Washington University in St. Louis
Nico U.F. Dosenbach
Nico U.F. Dosenbach Washington University in St. Louis
Timothy O. Laumann
Timothy O. Laumann Washington University in St. Louis
Caterina Gratton
Caterina Gratton University of Illinois at Urbana-Champaign
Abraham Z. Snyder
Abraham Z. Snyder Washington University in St. Louis
Gina L. Forster
Gina L. Forster University of South Dakota
Kerry J. Ressler
Kerry J. Ressler Harvard University

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