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Steven M. Nelson

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 37 8655 7996 3673 3326 69 16646

Steven M. Nelson publications per year

The chart shows the history of publications by Steven M. Nelson between 1984 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Steven M. Nelson published across 38 years, from 1984 to 2021, averaging 1.6 papers a year. Output peaked at 12 publications in 2021. 19 of the 62 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1984 to 2021. Vertical axis: number of publications, 0 to 12. Peak 12 publications in 2021. 1984: 1 publication 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 1 publication 2007: 1 publication 2008: 1 publication 2009: 0 publications 2010: 4 publications 2011: 2 publications 2012: 2 publications 2013: 3 publications 2014: 3 publications 2015: 3 publications 2016: 3 publications 2017: 6 publications 2018: 9 publications 2019: 4 publications 2020: 7 publications 2021: 12 publications
1984 2021

62 publications in total across all disciplines

View publications per year as a table
Steven M. Nelson: publications per year, 1984 to 2021
Year Publications
1984 1
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 1
2007 1
2008 1
2009 0
2010 4
2011 2
2012 2
2013 3
2014 3
2015 3
2016 3
2017 6
2018 9
2019 4
2020 7
2021 12
Total 62
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 68–77 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323 69
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 36–37 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435 37
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

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

External Links

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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

Child Mind Institute

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

Kennedy Krieger Institute

Publications: 73

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 72

Olaf Sporns

Olaf Sporns

Indiana University

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

Xi-Nian Zuo

Xi-Nian Zuo

Beijing Normal University

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

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