World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
60
Citations
16824
World Ranking
3783
National Ranking
1730

Electronics and Electrical Engineering

D-Index
48
Citations
11343
World Ranking
3033
National Ranking
1140

Jose M. Carmena publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Jose M. Carmena sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 446 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 146 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Jose M. Carmena D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Jose M. Carmena sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 48 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2009 - Fellow of Alfred P. Sloan Foundation
  • 2007 - Hellman Fellow

Overview

Jose M. Carmena is affiliated with the University of California, Berkeley in the United States. The main field of their research is Neuroscience, with a particular focus on Cognitive Neuroscience, Cellular and Molecular Neuroscience, and Biomedical Engineering, among other subfields.

Their research covers a variety of topics including:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Muscle activation and electromyography studies
  • Motor Control and Adaptation
  • Neural and Behavioral Psychology Studies
  • Neuroscience and Neuropharmacology Research

Recent papers authored or coauthored by Jose M. Carmena include:

  • "A wireless millimetre-scale implantable neural stimulator with ultrasonically powered bidirectional communication" (2020), published in Nature Biomedical Engineering
  • "Recommendations for Responsible Development and Application of Neurotechnologies" (2021), published in Neuroethics
  • "Skilled independent control of individual motor units via a non-invasive neuromuscular-machine interface" (2021), published in Journal of Neural Engineering
  • "Head-mounted microendoscopic calcium imaging in dorsal premotor cortex of behaving rhesus macaque" (2021), published in Cell Reports
  • "Left hemisphere dominance for bilateral kinematic encoding in the human brain" (2022), published in eLife

Frequent co-authors include:

  • Nuria Vendrell-Llopis
  • Rui M. Costa
  • Michel M. Maharbiz
  • Christina Merrick
  • Tanner C. Dixon

Jose M. Carmena has published frequently in venues such as bioRxiv (Cold Spring Harbor Laboratory), Current Biology, Scientific Reports, Nature Biomedical Engineering, and Neuroethics.

Throughout their career, they have been recognized with awards including the Fellow of Alfred P. Sloan Foundation in 2009 and the Hellman Fellow award in 2007.

Best Publications

  • Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates

    Jose M Carmena;Mikhail A Lebedev;Roy E Crist;Joseph E O'Doherty

  • Chronic, multisite, multielectrode recordings in macaque monkeys

    Miguel A. L. Nicolelis;Dragan Dimitrov;Jose M. Carmena;Roy Crist

  • Cortical Ensemble Adaptation to Represent Velocity of an Artificial Actuator Controlled by a Brain-Machine Interface

    Mikhail A. Lebedev;Jose M. Carmena;Joseph E. O'Doherty;Miriam Zacksenhouse

  • Emergence of a Stable Cortical Map for Neuroprosthetic Control

    Karunesh Ganguly;Jose M. Carmena;Jose M. Carmena

  • Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust

    Dongjin Seo;Ryan M. Neely;Konlin Shen;Utkarsh Singhal

  • Four ethical priorities for neurotechnologies and AI

    Rafael Yuste;Sara Goering;Blaise Agüera y Arcas;Guoqiang Bi

  • Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills

    Aaron C. Koralek;Xin Jin;John D. Long;Rui M. Costa

  • A wireless millimetre-scale implantable neural stimulator with ultrasonically powered bidirectional communication.

    David K. Piech;David K. Piech;Benjamin C. Johnson;Benjamin C. Johnson;Konlin Shen;Konlin Shen;M. Meraj Ghanbari

  • A Minimally Invasive 64-Channel Wireless μECoG Implant

    Rikky Muller;Hanh-Phuc Le;Wen Li;Peter Ledochowitsch

  • Oscillatory phase coupling coordinates anatomically dispersed functional cell assemblies

    Ryan T. Canolty;Karunesh Ganguly;Steven W. Kennerley;Charles F. Cadieu

  • In Vitro and In Vivo Evaluation of PEDOT Microelectrodes for Neural Stimulation and Recording

    S Venkatraman;J Hendricks;Z A King;A J Sereno

  • Physical principles for scalable neural recording

    Adam Henry Marblestone;Bradley M Zamft;Yael G Maguire;Mikhail G Shapiro

  • Microstimulation Activates a Handful of Muscle Synergies

    Simon A. Overduin;Andrea d’Avella;Jose M. Carmena;Jose M. Carmena;Emilio Bizzi

  • Reversible large-scale modification of cortical networks during neuroprosthetic control

    Karunesh Ganguly;Dragan F Dimitrov;Jonathan D Wallis;Jonathan D Wallis;Jose M Carmena

  • Closed-Loop Decoder Adaptation Shapes Neural Plasticity for Skillful Neuroprosthetic Control

    Amy L. Orsborn;Helene G. Moorman;Simon A. Overduin;Maryam M. Shanechi

  • A wireless and artefact-free 128-channel neuromodulation device for closed-loop stimulation and recording in non-human primates

    Andy Zhou;Samantha R Santacruz;Samantha R Santacruz;Benjamin C Johnson;George Alexandrov

  • Representation of Muscle Synergies in the Primate Brain.

    Simon A. Overduin;Andrea d'Avella;Jinsook Roh;Jose M. Carmena

  • Combining Decoder Design and Neural Adaptation in Brain-Machine Interfaces

    Krishna V. Shenoy;Jose M. Carmena

  • A Fully-Integrated, Miniaturized (0.125 mm²) 10.5 µW Wireless Neural Sensor

    W. Biederman;D. J. Yeager;N. Narevsky;A. C. Koralek

  • Neural Dust: An Ultrasonic, Low Power Solution for Chronic Brain-Machine Interfaces

    Dongjin Seo;Michel M Maharbiz;Elad Alon;Jose M Carmena

  • Stable ensemble performance with single-neuron variability during reaching movements in primates.

    Jose M Carmena;Mikhail A Lebedev;Craig S Henriquez;Miguel A L Nicolelis

  • Ensemble recordings of human subcortical neurons as a source of motor control signals for a brain-machine interface.

    Parag G Patil;Jose M Carmena;Miguel A L Nicolelis;Dennis A Turner;Dennis A Turner

Frequent Co-Authors

Michel M. Maharbiz
Michel M. Maharbiz University of California, Berkeley
Jan M. Rabaey
Jan M. Rabaey University of California, Berkeley
Karunesh Ganguly
Karunesh Ganguly University of California, San Francisco
Elad Alon
Elad Alon University of California, Berkeley
Miguel A. L. Nicolelis
Miguel A. L. Nicolelis Duke University
Rui M. Costa
Rui M. Costa Columbia University
Michael Gastpar
Michael Gastpar École Polytechnique Fédérale de Lausanne
Mikhail A. Lebedev
Mikhail A. Lebedev Moscow State University
Toni Bjorninen
Toni Bjorninen Tampere University
Leena Ukkonen
Leena Ukkonen Tampere University

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