World's Best Scientists 2026 revealed!
Michael L. Hines

Michael L. Hines

D-Index & Metrics

Neuroscience

D-Index
43
Citations
16131
World Ranking
7282
National Ranking
3138

Computer Science

D-Index
41
Citations
14092
World Ranking
8596
National Ranking
3683

Michael L. Hines 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 Michael L. Hines 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: 132 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Michael L. Hines 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 Michael L. Hines 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: 43 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Michael L. Hines is affiliated with Yale University in the United States and has contributed extensively to research in neuroscience and engineering. Their work spans multiple subfields including cognitive neuroscience, cellular and molecular neuroscience, electrical and electronic engineering, cardiology and cardiovascular medicine, and sensory systems.

The scientific topics covered in their research include:

  • Neural dynamics and brain function
  • Advanced memory and neural computing
  • Neuroscience and neural engineering
  • Olfactory and sensory function studies
  • Functional brain connectivity studies
  • Neurobiology and insect physiology research
  • Cardiac electrophysiology and arrhythmias

Hines has published in a variety of recognized journals. Frequent publication venues are:

  • Biophysical Journal
  • Journal of Neurophysiology
  • Lecture Notes in Computer Science
  • eLife
  • Frontiers in Neuroinformatics

Recent papers authored or coauthored by Hines include:

  • "Human Neocortical Neurosolver (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data" (2020), published in eLife
  • "Modernizing the NEURON Simulator for Sustainability, Portability, and Performance" (2022), published in Frontiers in Neuroinformatics
  • "Local glutamate-mediated dendritic plateau potentials change the state of the cortical pyramidal neuron" (2020), published in Journal of Neurophysiology
  • "Predicting brain organization with a computational model: 50-year perspective on lateral inhibition and oscillatory gating by dendrodendritic synapses" (2020), published in Journal of Neurophysiology
  • "Modernizing the NEURON Simulator for Sustainability, Portability, and Performance" (2022), published in bioRxiv (Cold Spring Harbor Laboratory)

Michael L. Hines has collaborated frequently with a number of coauthors including:

  • Nicholas T. Carnevale
  • Robert A. McDougal
  • Mark W. Nowak
  • Leigh Korbel
  • Glenna C.L. Bett

Best Publications

  • The NEURON simulation environment

    M. L. Hines;N. T. Carnevale

  • Reconstruction and Simulation of Neocortical Microcircuitry

    Henry Markram;Henry Markram;Eilif Muller;Srikanth Ramaswamy;Michael W. Reimann

  • The NEURON Book

    Nicholas T. Carnevale;Michael L. Hines

  • The NEURON Book

    Unknown

  • Simulation of networks of spiking neurons: A review of tools and strategies

    Romain Brette;Michelle Rudolph;Ted Carnevale;Michael L. Hines

  • Neuron: A Tool for Neuroscientists

    M. L. Hines;N. T. Carnevale

  • NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.

    Padraig Gleeson;Sharon M. Crook;Robert C Cannon;Michael L Hines

  • ModelDB: A Database to Support Computational Neuroscience.

    Michael L. Hines;Thomas M. Morse;Michele Migliore;Nicholas T. Carnevale

  • NEURON and Python

    Michael L. Hines;Andrew P. Davison;Eilif B. Müller

  • Efficient computation of branched nerve equations

    Michael Hines

  • A program for simulation of nerve equations with branching geometries.

    Michael Hines

  • NEURON — A Program for Simulation of Nerve Equations

    Michael Hines

  • Expanding NEURON’s Repertoire of Mechanisms with NMODL

    M. L. Hines;N. T. Carnevale

  • Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience

    Robert A. Mcdougal;Thomas M. Morse;Ted Carnevale;Luis Marenco

  • Parallel network simulations with NEURON

    Michele Migliore;C. Cannia;C. Cannia;William W. Lytton;Henry Markram

  • neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space

    Padraig Gleeson;Volker Steuber;R. Angus Silver

  • NetPyNE: A tool for data-driven multiscale modeling of brain circuits

    Salvador Dura-Bernal;Benjamin A. Suter;Padraig Gleeson;Matteo Cantarelli

  • ModelDB: making models publicly accessible to support computational neuroscience

    Michele Migliore;Thomas M. Morse;Andrew P. Davison;Luis N. Marenco

  • Computational Analysis of Action Potential Initiation in Mitral Cell Soma and Dendrites Based on Dual Patch Recordings

    Gongyu Y. Shen;Wei R. Chen;Jens Midtgaard;Gordon M. Shepherd

  • Multiple Modes of Action Potential Initiation and Propagation in Mitral Cell Primary Dendrite

    Wei R. Chen;Gongyu Y. Shen;Gordon M. Shepherd;Michael L. Hines

  • The NEURON Book: Object-oriented programming

    Nicholas T. Carnevale;Michael L. Hines

Frequent Co-Authors

Michele Migliore
Michele Migliore National Academies of Sciences, Engineering, and Medicine
Gordon M. Shepherd
Gordon M. Shepherd Yale School of Medicine
William W. Lytton
William W. Lytton SUNY Downstate Medical Center
Perry L. Miller
Perry L. Miller Yale University
Henry Markram
Henry Markram École Polytechnique Fédérale de Lausanne
Markus Diesmann
Markus Diesmann RWTH Aachen University
Alain Destexhe
Alain Destexhe Centre national de la recherche scientifique, CNRS
Erik De Schutter
Erik De Schutter Okinawa Institute of Science and Technology
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Wei Chen
Wei Chen University of Minnesota

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