World's Best Scientists 2026 revealed!
Richard A. Normann

Richard A. Normann

D-Index & Metrics

Neuroscience

D-Index
60
Citations
18324
World Ranking
3774
National Ranking
1727

Richard A. Normann 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 Richard A. Normann 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: 193 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Richard A. Normann 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 Richard A. Normann 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: 60 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Richard A. Normann is affiliated with the University of Utah in the United States. Their academic profile is centered around contributions to scientific research within their institution.

Normann's work does not have listed recent papers, book publications, or frequent co-authors available in the provided data. There is also no information on main fields or subfields of study, main topics of work, or frequent publication venues associated with their scholarly output.

There are no recorded awards or honors granted to Normann in the available data. The scientist is not deceased, thus active status is implied.

While specific research topics, publication venues, and collaborations are not detailed in the accessible information, Richard A. Normann remains connected to the academic community through their position at a major research university.

Best Publications

  • A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System

    R. Harrison;P. Watkins;R. Kier;R. Lovejoy

  • A silicon-based, three-dimensional neural interface: manufacturing processes for an intracortical electrode array

    P.K. Campbell;K.E. Jones;R.J. Huber;K.W. Horch

  • Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex.

    Patrick J Rousche;Richard A Normann

  • The Utah Intracortical Electrode Array: A recording structure for potential brain-computer interfaces

    Edwin M. Maynard;Craig T. Nordhausen;Richard A. Normann

  • A neural interface for a cortical vision prosthesis.

    Richard A Normann;Edwin M Maynard;Patrick J Rousche;David J Warren

  • Control of Retinal Sensitivity: I. Light and Dark Adaptation of Vertebrate Rods and Cones

    Richard A. Normann;Frank S. Werblin

  • A glass/silicon composite intracortical electrode array.

    Kelly E. Jones;Patrick K. Campbell;Richard A. Normann

  • A method for pneumatically inserting an array of penetrating electrodes into cortical tissue

    Patrick J. Rousche;Richard A. Normann

  • Selective stimulation of cat sciatic nerve using an array of varying-length microelectrodes.

    Almut Branner;Richard B. Stein;Richard A. Normann

  • Robust, automatic spike sorting using mixtures of multivariate t-distributions.

    Shy Shoham;Matthew R. Fellows;Richard A. Normann

  • Neuronal interactions improve cortical population coding of movement direction.

    E. M. Maynard;N. G. Hatsopoulos;C. L. Ojakangas;B. D. Acuna

  • Single unit recording capabilities of a 100 microelectrode array

    Craig T. Nordhausen;Edwin M. Maynard;Richard A. Normann

  • Long-term stimulation and recording with a penetrating microelectrode array in cat sciatic nerve

    A. Branner;R.B. Stein;E. Fernandez;Y. Aoyagi

  • Restoring motor control and sensory feedback in people with upper extremity amputations using arrays of 96 microelectrodes implanted in the median and ulnar nerves.

    T. S. Davis;H. A C Wark;D. T. Hutchinson;D. J. Warren

  • Mobility performance with a pixelized vision system.

    Kichul Cha;Kenneth W. Horch;Richard A. Normann

  • A multielectrode array for intrafascicular recording and stimulation in sciatic nerve of cats.

    Almut Branner;Richard Alan Normann

  • The effects of background illumination on the photoresponses of red and green cones

    R A Normann;I Perlman

  • Simulation of a phosphene-based visual field: Visual acuity in a pixelized vision system

    Kichul Cha;Kenneth Horch;Richard A. Normann

  • The BRAIN Initiative: developing technology to catalyse neuroscience discovery

    Lyric A. Jorgenson;William T. Newsome;David J. Anderson;Cornelia I. Bargmann

  • Encapsulation of an Integrated Neural Interface Device With Parylene C

    Jui-Mei Hsu;L. Rieth;R.A. Normann;P. Tathireddy

  • Chronic intracortical microstimulation (ICMS) of cat sensory cortex using the Utah intracortical electrode array

    P.J. Rousche;R.A. Normann

  • A 100-channel system for real time detection and storage of extracellular spike waveforms.

    K.S Guillory;R.A Normann

  • A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System

    Unknown

Frequent Co-Authors

Florian Solzbacher
Florian Solzbacher University of Utah
Helga Kolb
Helga Kolb University of Utah
Richard B. Stein
Richard B. Stein University of Alberta
John P. Donoghue
John P. Donoghue Brown University
Kamil Ugurbil
Kamil Ugurbil University of Minnesota
William T. Newsome
William T. Newsome Stanford University
Nicholas G. Hatsopoulos
Nicholas G. Hatsopoulos University of Chicago
Frank S. Werblin
Frank S. Werblin University of California, Berkeley
Cornelia I. Bargmann
Cornelia I. Bargmann Rockefeller University

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