World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
97
Citations
79511
World Ranking
813
National Ranking
442

Computer Science

D-Index
87
Citations
72478
World Ranking
697
National Ranking
368

Overview

Scott Makeig is affiliated with the University of California, San Diego in the United States. Their research primarily spans the field of Neuroscience, with a focus on subfields such as Cognitive Neuroscience, Signal Processing, Neurology, Artificial Intelligence, and Radiology, Nuclear Medicine and Imaging.

The scientist's work covers a range of topics including:

  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Blind Source Separation Techniques
  • Neuroscience and Music Perception
  • Advanced MRI Techniques and Applications
  • Transcranial Magnetic Stimulation Studies

Recent publications illustrate the diversity and focus of Makeig's research. These include:

  • "Midfrontal Theta Activity in Psychiatric Illness: An Index of Cognitive Vulnerabilities Across Disorders," 2021, published in Biological Psychiatry
  • "The Lab Streaming Layer for Synchronized Multimodal Recording," 2024, published in bioRxiv (Cold Spring Harbor Laboratory)
  • "The open EEGLAB portal Interface: High-Performance computing with EEGLAB," 2020, published in NeuroImage
  • "From BIDS-Formatted EEG Data to Sensor-Space Group Results: A Fully Reproducible Workflow With EEGLAB and LIMO EEG," 2021, published in Frontiers in Neuroscience
  • "Brain Activity Response to Visual Cues for Gait Impairment in Parkinson's Disease: An EEG Study," 2021, published in Neurorehabilitation and Neural Repair

Frequently publishing in venues that specialize in neuroscience and related domains, Makeig's work appears repeatedly in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • NeuroImage
  • Scientific Data
  • Biological Psychiatry

Collaboration plays a significant role in Makeig's research. Frequent co-authors include:

  • Arnaud Delorme
  • Dung Truong
  • Kay A. Robbins
  • Makoto Miyakoshi
  • Seyed Yahya Shirazi

Best Publications

  • EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

    Arnaud Delorme;Scott Makeig

  • Removing electroencephalographic artifacts by blind source separation.

    Tzyy-Ping Jung;Tzyy-Ping Jung;Scott Makeig;Colin Humphries;Te-Won Lee;Te-Won Lee

  • Independent Component Analysis of Electroencephalographic Data

    Scott Makeig;Anthony J. Bell;Tzyy-Ping Jung;Terrence J. Sejnowski

  • Analysis of fMRI data by blind separation into independent spatial components

    Martin J. Mckeown;Scott Makeig;Greg G. Brown;Tzyy-Ping Jung

  • Dynamic Brain Sources of Visual Evoked Responses

    S. Makeig;M. Westerfield;T.-P. Jung;S. Enghoff

  • ICLabel: An automated electroencephalographic independent component classifier, dataset, and website.

    Luca Pion-Tonachini;Kenneth Kreutz-Delgado;Scott Makeig

  • Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis

    Arnaud Delorme;Terrence J. Sejnowski;Scott Makeig

  • Mining event-related brain dynamics.

    Scott Makeig;Stefan Debener;Julie Onton;Arnaud Delorme

  • Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects

    Tzyy-Ping Jung;Scott Makeig;Marissa Westerfield;Marissa Westerfield;Jeanne Townsend;Jeanne Townsend

  • A 40-Hz auditory potential recorded from the human scalp

    Robert Galambos;Scott Makeig;Peter J. Talmachoff

  • Blind separation of auditory event-related brain responses into independent components

    Scott Makeig;Tzyy-Ping Jung;Anthony J. Bell;Dara Ghahremani

  • Auditory Event-Related Dynamics of the EEG Spectrum and Effects of Exposure to Tones

    Scott Makeig

  • Frontal midline EEG dynamics during working memory.

    Julie Onton;Arnaud Delorme;Scott Makeig

  • Independent EEG sources are dipolar.

    Arnaud Delorme;Arnaud Delorme;Arnaud Delorme;Jason Palmer;Julie Onton;Robert Oostenveld

  • Analysis and visualization of single-trial event-related potentials

    Tzyy Ping Jung;Scott Makeig;Scott Makeig;Marissa Westerfield;Marissa Westerfield;Jeanne Townsend;Jeanne Townsend

  • Imaging human EEG dynamics using independent component analysis.

    Julie Onton;Marissa Westerfield;Jeanne Townsend;Scott Makeig

  • Real-Time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG

    Tim R. Mullen;Christian A. E. Kothe;Yu Mike Chi;Alejandro Ojeda

  • EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing

    Arnaud Delorme;Tim Mullen;Christian Kothe;Zeynep Akalin Acar

  • Imaging brain dynamics using independent component analysis

    T.-P. Jung;S. Makeig;M.J. McKeown;A.J. Bell

  • Estimating alertness from the EEG power spectrum

    Tzyy-Ping Jung;S. Makeig;M. Stensmo;T.J. Sejnowski

  • Frontal midline theta and the error-related negativity: neurophysiological mechanisms of action regulation.

    Phan Luu;Don M Tucker;Scott Makeig

Frequent Co-Authors

Tzyy-Ping Jung
Tzyy-Ping Jung University of California, San Diego
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Arnaud Delorme
Arnaud Delorme University of California, San Diego
Kenneth Kreutz-Delgado
Kenneth Kreutz-Delgado University of California, San Diego
Klaus Gramann
Klaus Gramann Technical University of Berlin
Jeanne Townsend
Jeanne Townsend University of California, San Diego
Eric Courchesne
Eric Courchesne University of California, San Diego
Martin J. McKeown
Martin J. McKeown University of British Columbia
Mateusz Gola
Mateusz Gola University of California, San Diego
Gert Cauwenberghs
Gert Cauwenberghs University of California, San Diego

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Scott Makeig

Trending Scientists