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Mark M. Churchland

Mark M. Churchland

Columbia University
United States

D-Index & Metrics

Neuroscience

D-Index
44
Citations
14114
World Ranking
7043
National Ranking
3039

Mark M. Churchland 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 Mark M. Churchland 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: 83 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Mark M. Churchland 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 Mark M. Churchland 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: 44 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2013 - Fellow of Alfred P. Sloan Foundation

Overview

Mark M. Churchland is affiliated with Columbia University in the United States and specializes primarily in Neuroscience. Their research spans multiple subfields, including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Electrical and Electronic Engineering, and to a lesser extent, Artificial Intelligence.

The scientist's work addresses various aspects of neural dynamics and brain function, with key topics including EEG and Brain-Computer Interfaces, Motor Control and Adaptation, Neuroscience and Neural Engineering, Muscle Activation and Electromyography Studies, Functional Brain Connectivity Studies, and Advanced Memory and Neural Computing.

Mark M. Churchland has contributed extensively to academic literature, with a substantial number of publications across a variety of well-regarded venues. The most frequent venues for their research include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Neuroscience
  • eLife
  • Neuron
  • Nature reviews. Neuroscience

Their recent papers indicate a focus on motor cortex activity, neural control, and computational frameworks for motor behaviors. Notable publications include:

  • "Independent generation of sequence elements by motor cortex," 2021, Nature Neuroscience
  • "Neural Trajectories in the Supplementary Motor Area and Motor Cortex Exhibit Distinct Geometries, Compatible with Different Classes of Computation," 2020, Neuron
  • "Flexible neural control of motor units," 2022, Nature Neuroscience
  • "Preparatory activity and the expansive null-space," 2024, Nature reviews. Neuroscience
  • "Motor cortex activity across movement speeds is predicted by network-level strategies for generating muscle activity," 2022, eLife

Mark M. Churchland has collaborated frequently with a group of researchers, including John P. Cunningham, Eric M. Trautmann, Andrew J. Zimnik, Sean M. Perkins, and Elom A. Amematsro. These collaborations have contributed to a series of publications reflecting collective advances in the field.

In recognition of their contributions, Mark M. Churchland was named a Fellow of the Alfred P. Sloan Foundation in 2013.

Best Publications

  • Neural population dynamics during reaching

    Mark M. Churchland;John P. Cunningham;John P. Cunningham;Matthew T. Kaufman;Justin D. Foster

  • Stimulus onset quenches neural variability: a widespread cortical phenomenon

    Mark M. Churchland;Byron M. Yu;Byron M. Yu;John P. Cunningham;Leo P. Sugrue;Leo P. Sugrue

  • Cortical control of arm movements: a dynamical systems perspective.

    Krishna V. Shenoy;Maneesh Sahani;Mark M. Churchland

  • Cortical activity in the null space: permitting preparation without movement

    Matthew T Kaufman;Mark M Churchland;Stephen I Ryu;Krishna V Shenoy

  • A high-performance neural prosthesis enabled by control algorithm design

    Vikash Gilja;Paul Nuyujukian;Cindy A Chestek;John P Cunningham;John P Cunningham

  • A neural network that finds a naturalistic solution for the production of muscle activity

    David Sussillo;Mark M Churchland;Matthew T Kaufman;Krishna V Shenoy

  • Neural Variability in Premotor Cortex Provides a Signature of Motor Preparation

    Mark M. Churchland;Byron M. Yu;Stephen I. Ryu;Gopal Santhanam

  • Cortical Preparatory Activity: Representation of Movement or First Cog in a Dynamical Machine?

    Mark M. Churchland;John P. Cunningham;John P. Cunningham;Matthew T. Kaufman;Stephen I. Ryu;Stephen I. Ryu

  • A Central Source of Movement Variability

    Mark M. Churchland;Afsheen Afshar;Krishna V. Shenoy

  • Reorganization between preparatory and movement population responses in motor cortex

    Gamaleldin F. Elsayed;Antonio H. Lara;Matthew T. Kaufman;Mark M. Churchland

  • Temporal Complexity and Heterogeneity of Single-Neuron Activity in Premotor and Motor Cortex

    Mark M. Churchland;Krishna V. Shenoy

  • Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex

    Cynthia A Chestek;Vikash Gilja;Paul Nuyujukian;Justin D Foster

  • Preparatory activity in premotor and motor cortex reflects the speed of the upcoming reach.

    Mark M. Churchland;Gopal Santhanam;Krishna V. Shenoy

  • Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response

    Abigail A. Russo;Abigail A. Russo;Sean R. Bittner;Sean R. Bittner;Sean M. Perkins;Jeffrey S. Seely;Jeffrey S. Seely

  • The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type.

    Matthew T. Kaufman;Jeffrey S. Seely;David Sussillo;Stephen I. Ryu

  • Techniques for extracting single-trial activity patterns from large-scale neural recordings

    Mark M Churchland;Byron M Yu;Byron M Yu;Maneesh Sahani;Krishna V Shenoy

  • Single-trial dynamics of motor cortex and their applications to brain-machine interfaces

    Jonathan C. Kao;Paul Nuyujukian;Stephen I. Ryu;Mark M. Churchland

  • Delay of movement caused by disruption of cortical preparatory activity.

    Mark M. Churchland;Krishna V. Shenoy

  • Constraints on the Source of Short-Term Motion Adaptation in Macaque Area MT. I. The Role of Input and Intrinsic Mechanisms

    Nicholas J. Priebe;Mark M. Churchland;Stephen G. Lisberger

  • Single-neuron stability during repeated reaching in macaque premotor cortex.

    Cynthia A. Chestek;Aaron P. Batista;Gopal Santhanam;Byron M. Yu

Frequent Co-Authors

Krishna V. Shenoy
Krishna V. Shenoy Stanford University
Stephen I. Ryu
Stephen I. Ryu Stanford University
John P. Cunningham
John P. Cunningham Columbia University
Byron M. Yu
Byron M. Yu Carnegie Mellon University
Stephen G. Lisberger
Stephen G. Lisberger Duke University
Maneesh Sahani
Maneesh Sahani University College London
John W. Krakauer
John W. Krakauer Johns Hopkins University
Nicholas J. Priebe
Nicholas J. Priebe The University of Texas at Austin
Adam Kohn
Adam Kohn Albert Einstein College of Medicine
Reza Shadmehr
Reza Shadmehr Johns Hopkins University

External Links

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Best Scientists Citing Mark M. Churchland

Krishna V. Shenoy

Krishna V. Shenoy

Stanford University

Publications: 133

Stephen I. Ryu

Stephen I. Ryu

Stanford University

Publications: 112

Jose M. Carmena

Jose M. Carmena

University of California, Berkeley

Publications: 59

Leigh R. Hochberg

Leigh R. Hochberg

Harvard University

Publications: 56

Stephen G. Lisberger

Stephen G. Lisberger

Duke University

Publications: 49

Byron M. Yu

Byron M. Yu

Carnegie Mellon University

Publications: 48

Lee E. Miller

Lee E. Miller

Northwestern University

Publications: 40

Konrad P. Kording

Konrad P. Kording

University of Pennsylvania

Publications: 34

Nicholas G. Hatsopoulos

Nicholas G. Hatsopoulos

University of Chicago

Publications: 34

John P. Cunningham

John P. Cunningham

Columbia University

Publications: 31

Karunesh Ganguly

Karunesh Ganguly

University of California, San Francisco

Publications: 30

Jaimie M. Henderson

Jaimie M. Henderson

Stanford University

Publications: 29

Karel Svoboda

Karel Svoboda

Allen Institute

Publications: 26

John P. Donoghue

John P. Donoghue

Brown University

Publications: 25

Jörn Diedrichsen

Jörn Diedrichsen

University of Western Ontario

Publications: 24

Maneesh Sahani

Maneesh Sahani

University College London

Publications: 24

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