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Computer Science

D-Index
52
Citations
14805
World Ranking
4994
National Ranking
301

Overview

Reinhold Scherer is affiliated with the University of Essex in the United Kingdom. Their research focuses primarily on Neuroscience, with a significant number of publications in the subfields of Cognitive Neuroscience, Cellular and Molecular Neuroscience, Psychiatry and Mental Health, Artificial Intelligence, and Experimental and Cognitive Psychology.

The main topics covered in Reinhold Scherer's work include EEG and Brain-Computer Interfaces, Neural dynamics and brain function, Neural and Behavioral Psychology Studies, Neuroscience and Neural Engineering, Advanced Memory and Neural Computing, Social and Intergroup Psychology, and Functional Brain Connectivity Studies.

Reinhold Scherer's published papers include:

  • SAFE: An EEG dataset for stable affective feature selection, 2020, Advanced Engineering Informatics
  • Motor Imagery Brain-Computer Interfaces: Random Forests Vs Regularized Lda - Non-Linear Beats Linear, 2020, TUGraz OPEN Library (Graz University of Technology)
  • Proceedings of the 5th International Brain-Computer Interface Conference 2011, 2020, TUGraz OPEN Library (Graz University of Technology)
  • Detecting System Errors in Virtual Reality Using EEG Through Error-Related Potentials, 2020, 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
  • Post-Adaptation Effects in a Motor Imagery Brain-Computer Interface Online Coadaptive Paradigm, 2021, IEEE Access

Frequent co-authors collaborating with Reinhold Scherer are:

  • Gernot Müller-Putz
  • Hakim Si-Mohammed
  • Anatole Lécuyer
  • Martin Billinger
  • Johanna Wagner

Reinhold Scherer's research is also frequently published in the following venues:

  • TUGraz OPEN Library (Graz University of Technology)
  • 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
  • arXiv (Cornell University)
  • Advanced Engineering Informatics
  • IEEE Access

Best Publications

  • Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG.

    Christa Neuper;Reinhold Scherer;Miriam Reiner;Gert Pfurtscheller

  • The Hybrid BCI

    Gert Pfurtscheller;Brendan Z. Allison;Clemens Brunner;Gunther Bauernfeind

  • A fully automated correction method of EOG artifacts in EEG recordings.

    Alois Schlögl;Claudia Keinrath;Doris Zimmermann;Reinhold Scherer

  • Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components

    Gernot R Müller-Putz;Reinhold Scherer;Christian Brauneis;Gert Pfurtscheller

  • Self-paced (asynchronous) BCI control of a wheelchair in virtual environments: a case study with a tetraplegic

    Robert Leeb;Doron Friedman;Gernot R. Müller-Putz;Reinhold Scherer

  • EEG-based neuroprosthesis control: a step towards clinical practice.

    Gernot R. Müller-Putz;Reinhold Scherer;Gert Pfurtscheller;Rüdiger Rupp

  • Brain–Computer Communication: Motivation, Aim, and Impact of Exploring a Virtual Apartment

    R. Leeb;F. Lee;C. Keinrath;R. Scherer

  • Better than random: A closer look on BCI results

    Gernot Mueller-Putz;Reinhold Scherer;Clemens Brunner;Robert Leeb

  • Motor imagery and action observation : Modulation of sensorimotor brain rhythms during mental control of a brain-computer interface

    Christa Neuper;Reinhold Scherer;Reinhold Scherer;Selina Wriessnegger;Gert Pfurtscheller

  • An asynchronously controlled EEG-based virtual keyboard: improvement of the spelling rate

    R. Scherer;G.R. Muller;C. Neuper;B. Graimann

  • Graz-BCI: state of the art and clinical applications

    G. Pfurtscheller;C. Neuper;G.R. Muller;B. Obermaier

  • Steady-state somatosensory evoked potentials: suitable brain signals for brain-computer interfaces?

    G.R. Muller-Putz;R. Scherer;C. Neuper;G. Pfurtscheller

  • Domain Adaptation Techniques for EEG-Based Emotion Recognition: A Comparative Study on Two Public Datasets

    Zirui Lan;Olga Sourina;Lipo Wang;Reinhold Scherer

  • Level of participation in robotic-assisted treadmill walking modulates midline sensorimotor EEG rhythms in able-bodied subjects.

    Johanna Wagner;Teodoro Solis-Escalante;Peter Grieshofer;Christa Neuper;Christa Neuper

  • Rehabilitation with Brain-Computer Interface Systems

    G. Pfurtscheller;G.R. Muller-Putz;R. Scherer;C. Neuper

  • Motor imagery and EEG-based control of spelling devices and neuroprostheses.

    Christa Neuper;Gernot R Müller-Putz;Reinhold Scherer;Gert Pfurtscheller

  • Toward Self-Paced Brain–Computer Communication: Navigation Through Virtual Worlds

    R. Scherer;F. Lee;A. Schlogl;R. Leeb

  • A fully on-line adaptive BCI

    C. Vidaurre;A. Schlogl;R. Cabeza;R. Scherer

  • 15 years of BCI research at graz university of technology: current projects

    G. Pfurtscheller;G.R. Muller-Putz;A. Schlogl;B. Graimann

  • High and low gamma EEG oscillations in central sensorimotor areas are conversely modulated during the human gait cycle.

    Martin Seeber;Reinhold Scherer;Johanna Wagner;Teodoro Solis-Escalante

  • Online Control of a Brain-Computer Interface Using Phase Synchronization

    C. Brunner;R. Scherer;B. Graimann;G. Supp

Frequent Co-Authors

Gernot R. Müller-Putz
Gernot R. Müller-Putz Graz University of Technology
Gert Pfurtscheller
Gert Pfurtscheller Graz University of Technology
Christa Neuper
Christa Neuper University of Graz
Robert Leeb
Robert Leeb MindMaze
Alois Schlögl
Alois Schlögl Institute of Science and Technology Austria
Rajesh P. N. Rao
Rajesh P. N. Rao University of Washington
Clemens Brunner
Clemens Brunner University of Graz
Horst Bischof
Horst Bischof Graz University of Technology
Ian Daly
Ian Daly University of Essex
Carmen Vidaurre
Carmen Vidaurre Technical University of Berlin

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