D-Index & Metrics Best Publications
Miguel A. L. Nicolelis

Miguel A. L. Nicolelis

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 88 Citations 34,131 223 World Ranking 435 National Ranking 244

Research.com Recognitions

Awards & Achievements

2017 - IEEE Daniel E. Noble Award for Emerging Technologies "For seminal contributions to brain-machine interfaces."

2010 - National Institutes of Health Director's Pioneer Award

2004 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Internal medicine

Miguel A. L. Nicolelis mostly deals with Neuroscience, Somatosensory system, Thalamus, Sensory system and Motor cortex. Neural ensemble, Premovement neuronal activity, Neurophysiology, Cortical neurons and Electrophysiology are the subjects of his Neuroscience studies. His studies in Somatosensory system integrate themes in fields like Stimulus, Stimulation and Neuron.

His research in Thalamus intersects with topics in Receptive field, Motor control, Trigeminal nerve, Anatomy and Cortex. The Sensory system study combines topics in areas such as Somatosensory evoked potential, Human arm, Perception and Human–computer interaction. His study in Motor cortex is interdisciplinary in nature, drawing from both Real-time Control System, Robotic arm, Trajectory and Motor learning.

His most cited work include:

  • Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates (1444 citations)
  • Brain–machine interfaces: past, present and future (1292 citations)
  • Real-time prediction of hand trajectory by ensembles of cortical neurons in primates (1230 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Neuroscience, Somatosensory system, Sensory system, Brain–computer interface and Artificial intelligence. His Thalamus, Motor cortex, Premovement neuronal activity, Neurophysiology and Stimulation investigations are all subjects of Neuroscience research. His Thalamus study incorporates themes from Electrophysiology, Nucleus and Neuron.

His research in Somatosensory system tackles topics such as Cortex which are related to areas like Local field potential. His work deals with themes such as Tactile discrimination, Neuroplasticity, Taste and Microstimulation, which intersect with Sensory system. Miguel A. L. Nicolelis combines subjects such as Computer vision and Pattern recognition with his study of Artificial intelligence.

He most often published in these fields:

  • Neuroscience (72.45%)
  • Somatosensory system (31.89%)
  • Sensory system (20.74%)

What were the highlights of his more recent work (between 2015-2021)?

  • Neuroscience (72.45%)
  • Somatosensory system (31.89%)
  • Sensory system (20.74%)

In recent papers he was focusing on the following fields of study:

Miguel A. L. Nicolelis focuses on Neuroscience, Somatosensory system, Sensory system, Brain–computer interface and Artificial intelligence. His work on Neuroscience deals in particular with Neurophysiology, Motor cortex, Stimulation, Spinal cord and Local field potential. His Somatosensory system research incorporates elements of Neocortex, Neuroplasticity and Neuroprosthetics.

His Sensory system study combines topics from a wide range of disciplines, such as Stroke, Tactile discrimination, Neurological injury and Spinal cord stimulation. The various areas that he examines in his Brain–computer interface study include Hippocampal formation, Place cell, Premotor cortex and Simulation. His work on Robotics, Wavelet and Feature as part of general Artificial intelligence research is frequently linked to Train, bridging the gap between disciplines.

Between 2015 and 2021, his most popular works were:

  • Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients (182 citations)
  • Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation (178 citations)
  • Wireless Cortical Brain-Machine Interface for Whole-Body Navigation in Primates (47 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Artificial intelligence
  • Internal medicine

His scientific interests lie mostly in Neuroscience, Somatosensory system, Neurophysiology, Neurorehabilitation and Brain–computer interface. His study ties his expertise on Deep brain stimulation together with the subject of Neuroscience. His Somatosensory system research integrates issues from Neocortex and Sensory system.

His research in Sensory system intersects with topics in Neuroplasticity, Receptive field and Microstimulation. His research integrates issues of Motor cortex, Dopaminergic, Reward system and Midbrain in his study of Neurophysiology. Miguel A. L. Nicolelis studied Brain–computer interface and Simulation that intersect with Cortical neurons and Wireless.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

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.
PLOS Biology (2003)

2073 Citations

Brain–machine interfaces: past, present and future

Mikhail A. Lebedev;Miguel A. L. Nicolelis.
Trends in Neurosciences (2006)

2018 Citations

Real-time prediction of hand trajectory by ensembles of cortical neurons in primates

Johan Wessberg;Christopher R. Stambaugh;Jerald D. Kralik;Pamela D. Beck.
Nature (2000)

1764 Citations

Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex

John K. Chapin;Karen A. Moxon;Ronald S. Markowitz;Miguel A. L. Nicolelis.
Nature Neuroscience (1999)

1422 Citations

Actions from thoughts

Miguel A. L. Nicolelis.
Nature (2001)

925 Citations

Chronic, multisite, multielectrode recordings in macaque monkeys

Miguel A. L. Nicolelis;Dragan Dimitrov;Jose M. Carmena;Roy Crist.
Proceedings of the National Academy of Sciences of the United States of America (2003)

866 Citations

Remote control of neuronal activity in transgenic mice expressing evolved G protein-coupled receptors.

Georgia M. Alexander;Sarah C. Rogan;Atheir I. Abbas;Blaine N. Armbruster.
Neuron (2009)

750 Citations

Brain-machine interfaces to restore motor function and probe neural circuits.

Miguel A. L. Nicolelis.
Nature Reviews Neuroscience (2003)

695 Citations

Sensorimotor encoding by synchronous neural ensemble activity at multiple levels of the somatosensory system

Miguel A. L. Nicolelis;Luiz A. Baccala;Rick C. S. Lin;John K. Chapin.
Science (1995)

679 Citations

Active tactile exploration using a brain–machine–brain interface

Joseph E. O’Doherty;Mikhail A. Lebedev;Peter J. Ifft;Katie Z. Zhuang.
Nature (2011)

570 Citations

Best Scientists Citing Miguel A. L. Nicolelis

Jose M. Carmena

Jose M. Carmena

University of California, Berkeley

Publications: 105

Krishna V. Shenoy

Krishna V. Shenoy

Stanford University

Publications: 100

Jose C. Principe

Jose C. Principe

University of Florida

Publications: 93

John P. Donoghue

John P. Donoghue

Brown University

Publications: 87

Stephen I. Ryu

Stephen I. Ryu

Palo Alto Medical Foundation

Publications: 74

Silvestro Micera

Silvestro Micera

Sant'Anna School of Advanced Studies

Publications: 69

Warren H. Meck

Warren H. Meck

Duke University

Publications: 67

Lee E. Miller

Lee E. Miller

Northwestern University

Publications: 67

Nitish V. Thakor

Nitish V. Thakor

National University of Singapore

Publications: 66

Nicholas G. Hatsopoulos

Nicholas G. Hatsopoulos

University of Chicago

Publications: 64

Niels Birbaumer

Niels Birbaumer

University of Tübingen

Publications: 60

Richard A. Andersen

Richard A. Andersen

California Institute of Technology

Publications: 56

Donald B. Katz

Donald B. Katz

Brandeis University

Publications: 55

Daryl R. Kipke

Daryl R. Kipke

University of Michigan–Ann Arbor

Publications: 46

Dietmar Plenz

Dietmar Plenz

National Institutes of Health

Publications: 46

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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