H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 66 Citations 23,515 176 World Ranking 1058 National Ranking 37

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

The scientist’s investigation covers issues in Brain–computer interface, Electroencephalography, Artificial intelligence, Speech recognition and Interface. His Brain–computer interface research incorporates themes from Oddball paradigm, Brain activity and meditation, N2pc and Human–computer interaction. His Electroencephalography research incorporates elements of Linear discriminant analysis, Multivariate statistics, Audiology and Neuroprosthetics.

His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Neuroimaging, Interfacing and Pattern recognition. The various areas that he examines in his Speech recognition study include Sensorimotor rhythm, Neurophysiology, Information transfer, Calibration and Boosting. His studies deal with areas such as Preprocessor, Signal processing, Adaptation and Output device as well as Interface.

His most cited work include:

  • Optimizing Spatial filters for Robust EEG Single-Trial Analysis (1350 citations)
  • Single-Trial Analysis and Classification of ERP Components - a Tutorial (747 citations)
  • On the interpretation of weight vectors of linear models in multivariate neuroimaging. (703 citations)

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

Benjamin Blankertz focuses on Brain–computer interface, Artificial intelligence, Electroencephalography, Speech recognition and Interface. The concepts of his Brain–computer interface study are interwoven with issues in Stimulus, Brain activity and meditation, Interfacing and Human–computer interaction. Benjamin Blankertz has included themes like Covert, Machine learning, Computer vision and Pattern recognition in his Artificial intelligence study.

His Electroencephalography research includes elements of Neurophysiology, Cognition, Decoding methods, Neuroimaging and Simulation. His work in Speech recognition addresses subjects such as Eye movement, which are connected to disciplines such as Visual perception. His research integrates issues of User interface, Adaptation, Proof of concept, Data set and Pattern recognition in his study of Interface.

He most often published in these fields:

  • Brain–computer interface (67.09%)
  • Artificial intelligence (42.31%)
  • Electroencephalography (38.46%)

What were the highlights of his more recent work (between 2014-2021)?

  • Brain–computer interface (67.09%)
  • Artificial intelligence (42.31%)
  • Electroencephalography (38.46%)

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

Benjamin Blankertz mainly investigates Brain–computer interface, Artificial intelligence, Electroencephalography, Speech recognition and Pattern recognition. His Brain–computer interface research is classified as research in Interface. His Artificial intelligence study combines topics in areas such as Software, Decoding methods, Computer vision, Machine learning and Interfacing.

His work carried out in the field of Electroencephalography brings together such families of science as Stimulus, Image quality, Visual evoked potentials and Perception. He has researched Speech recognition in several fields, including Workload, Neurophysiology and Simulation. His Pattern recognition research is multidisciplinary, incorporating perspectives in Regularization, Covariance matrix, Multivariate statistics and Signal processing.

Between 2014 and 2021, his most popular works were:

  • BNCI Horizon 2020: Towards a Roadmap for the BCI Community (123 citations)
  • The Berlin Brain-Computer Interface: Progress Beyond Communication and Control. (122 citations)
  • A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes (101 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His main research concerns Artificial intelligence, Electroencephalography, Brain–computer interface, Speech recognition and Pattern recognition. His Artificial intelligence research integrates issues from Interfacing, Computer vision and Eeg oscillations. His studies in Electroencephalography integrate themes in fields like Stimulus, Optimization problem, Visual evoked potentials and Riemannian geometry.

He combines subjects such as Cognitive psychology and Movement with his study of Brain–computer interface. His work deals with themes such as Biometrics, Login, Simulation, Authentication and Auditory perception, which intersect with Speech recognition. His Pattern recognition research includes themes of Context, Weighting, Manifold, Covariance matrix and Signal processing.

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.

Top Publications

Optimizing Spatial filters for Robust EEG Single-Trial Analysis

B. Blankertz;R. Tomioka;S. Lemm;M. Kawanabe.
IEEE Signal Processing Magazine (2008)

1673 Citations

Single-Trial Analysis and Classification of ERP Components - a Tutorial

Benjamin Blankertz;Steven Lemm;Matthias Sebastian Treder;Stefan Haufe.
NeuroImage (2011)

977 Citations

The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.

Benjamin Blankertz;Guido Dornhege;Matthias Krauledat;Klaus Robert Müller.
NeuroImage (2007)

829 Citations

The BCI competition III: validating alternative approaches to actual BCI problems

B. Blankertz;K.-R. Muller;D.J. Krusienski;G. Schalk.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2006)

786 Citations

The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials

B. Blankertz;K.-R. Muller;G. Curio;T.M. Vaughan.
IEEE Transactions on Biomedical Engineering (2004)

783 Citations

On the interpretation of weight vectors of linear models in multivariate neuroimaging.

Stefan Haufe;Frank C. Meinecke;Kai Görgen;Sven Dähne.
NeuroImage (2014)

768 Citations

Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms

G. Dornhege;B. Blankertz;G. Curio;K.-R. Muller;K.-R. Muller.
IEEE Transactions on Biomedical Engineering (2004)

611 Citations

Classifying Single Trial EEG: Towards Brain Computer Interfacing

Benjamin Blankertz;Gabriel Curio;Klaus-Robert Müller.
neural information processing systems (2001)

584 Citations

Spatio-spectral filters for improving the classification of single trial EEG

S. Lemm;B. Blankertz;G. Curio;K.-R. Muller.
IEEE Transactions on Biomedical Engineering (2005)

573 Citations

Introduction to machine learning for brain imaging.

Steven Lemm;Benjamin Blankertz;Thorsten Dickhaus;Klaus Robert Müller.
NeuroImage (2011)

564 Citations

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

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

Contact us

Top Scientists Citing Benjamin Blankertz

Klaus-Robert Müller

Klaus-Robert Müller

Technical University of Berlin

Publications: 183

Cuntai Guan

Cuntai Guan

Nanyang Technological University

Publications: 144

Gernot R. Müller-Putz

Gernot R. Müller-Putz

Graz University of Technology

Publications: 95

Kai Keng Ang

Kai Keng Ang

Agency for Science, Technology and Research

Publications: 92

Andrzej Cichocki

Andrzej Cichocki

Skolkovo Institute of Science and Technology

Publications: 89

José del R. Millán

José del R. Millán

The University of Texas at Austin

Publications: 84

Seong-Whan Lee

Seong-Whan Lee

Korea University

Publications: 80

Fabien Lotte

Fabien Lotte

L'Abri

Publications: 78

Andrea Kübler

Andrea Kübler

University of Würzburg

Publications: 78

Vadim V. Nikulin

Vadim V. Nikulin

Max Planck Society

Publications: 63

Michael Tangermann

Michael Tangermann

Radboud University Nijmegen

Publications: 60

Brendan Z. Allison

Brendan Z. Allison

University of California, San Diego

Publications: 52

Reinhold Scherer

Reinhold Scherer

University of Essex

Publications: 52

Christa Neuper

Christa Neuper

University of Graz

Publications: 51

Xingyu Wang

Xingyu Wang

East China University of Science and Technology

Publications: 48

Something went wrong. Please try again later.