H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Psychology H-index 88 Citations 25,366 200 World Ranking 567 National Ranking 15

Overview

What is she best known for?

The fields of study she is best known for:

  • Cognition
  • Neuroscience
  • Artificial intelligence

Andrea Kübler focuses on Brain–computer interface, Electroencephalography, Audiology, Neuroscience and Amyotrophic lateral sclerosis. Andrea Kübler undertakes multidisciplinary studies into Brain–computer interface and Spelling in her work. Her Electroencephalography research incorporates elements of Neurophysiology, Physical medicine and rehabilitation, Developmental psychology, Locked-in syndrome and Session.

Her work deals with themes such as Attention span, Distraction, Communication and Set, which intersect with Audiology. Her work focuses on many connections between Neuroscience and other disciplines, such as Biofeedback, that overlap with her field of interest in Feature extraction and Cerebral palsy. The concepts of her Amyotrophic lateral sclerosis study are interwoven with issues in Paralysis, Psychiatry, Communication Aids for Disabled and Quality of life.

Her most cited work include:

  • A spelling device for the paralysed (1272 citations)
  • Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (614 citations)
  • A P300-based brain–computer interface for people with amyotrophic lateral sclerosis (502 citations)

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

Brain–computer interface, Electroencephalography, Audiology, Neuroscience and Human–computer interaction are her primary areas of study. Her research investigates the link between Brain–computer interface and topics such as Usability that cross with problems in User-centered design. She usually deals with Electroencephalography and limits it to topics linked to Cognition and Consciousness.

Andrea Kübler interconnects Developmental psychology and Communication in the investigation of issues within Audiology. Andrea Kübler focuses mostly in the field of Neuroscience, narrowing it down to topics relating to Amyotrophic lateral sclerosis and, in certain cases, Psychiatry. Her Human–computer interaction research includes themes of Multimedia, The Internet and End user.

She most often published in these fields:

  • Brain–computer interface (63.47%)
  • Electroencephalography (30.65%)
  • Audiology (22.60%)

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

  • Brain–computer interface (63.47%)
  • Electroencephalography (30.65%)
  • Cognitive psychology (11.15%)

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

Her primary scientific interests are in Brain–computer interface, Electroencephalography, Cognitive psychology, Human–computer interaction and Physical medicine and rehabilitation. Andrea Kübler studies Brain–computer interface, namely Motor imagery. Her study in Electroencephalography is interdisciplinary in nature, drawing from both Audiology, Physical functioning, Neurochemistry, Stimulation and Session.

The study incorporates disciplines such as Stimulus modality, Neuroscience, Event-related potential and Artificial intelligence in addition to Audiology. Her User-centered design study in the realm of Human–computer interaction connects with subjects such as Training study and Headset. Her Physical medicine and rehabilitation research is multidisciplinary, incorporating perspectives in Relaxation, Progressive muscle relaxation, Cognitive rehabilitation therapy, Stroke and Wheelchair.

Between 2015 and 2021, her most popular works were:

  • Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist) (60 citations)
  • Effects of training and motivation on auditory P300 brain–computer interface performance (53 citations)
  • Training leads to increased auditory brain–computer interface performance of end-users with motor impairments (38 citations)

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

  • Cognition
  • Artificial intelligence
  • Neuroscience

Her primary areas of study are Brain–computer interface, Electroencephalography, Cognition, Session and Speech recognition. Her research in Brain–computer interface intersects with topics in Information transfer, Gaze, Usability, Human–computer interaction and End user. Her Information transfer research is multidisciplinary, relying on both Natural sounds, Neuroscience and Mood.

Her Electroencephalography study incorporates themes from Rehabilitation, Cognitive rehabilitation therapy, Physical medicine and rehabilitation, State and Stroke. As a part of the same scientific study, Andrea Kübler usually deals with the Cognition, concentrating on Minimally conscious state and frequently concerns with Oddball paradigm, Event-related potential and Audiology. Andrea Kübler has researched Session in several fields, including Sensory stimulation therapy, Wheelchair and Communication.

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

A spelling device for the paralysed

N. Birbaumer;N. Ghanayim;T. Hinterberger;I. Iversen.
Nature (1999)

1972 Citations

Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges

José del R. Millán;Rüdiger Rupp;Gernot Müller-Putz;Rod Murray-Smith.
Frontiers in Neuroscience (2010)

774 Citations

The thought translation device (TTD) for completely paralyzed patients

N. Birbaumer;A. Kubler;N. Ghanayim;T. Hinterberger.
international conference of the ieee engineering in medicine and biology society (2000)

729 Citations

Brain-computer communication: unlocking the locked in.

Andrea Kübler;Boris Kotchoubey;Jochen Kaiser;Jonathan R. Wolpaw.
Psychological Bulletin (2001)

724 Citations

A P300-based brain–computer interface for people with amyotrophic lateral sclerosis

F. Nijboer;E.W. Sellers;J. Mellinger;M.A. Jordan.
Clinical Neurophysiology (2008)

710 Citations

Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.

A. Kübler;F. Nijboer;J. Mellinger;T. M. Vaughan.
Neurology (2005)

618 Citations

A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation

I. Iturrate;J.M. Antelis;A. Kubler;J. Minguez.
IEEE Transactions on Robotics (2009)

597 Citations

Neurophysiological Predictor of SMR-based BCI Performance

Benjamin Blankertz;Claudia Sannelli;Sebastian Halder;Eva M. Hammer.
NeuroImage (2010)

533 Citations

Psychobiology of altered states of consciousness.

Dieter Vaitl;Niels Birbaumer;John Gruzelier;Graham A. Jamieson.
Psychological Bulletin (2005)

525 Citations

An MEG-based brain-computer interface (BCI)

Jürgen Mellinger;Gerwin Schalk;Gerwin Schalk;Christoph Braun;Hubert Preissl;Hubert Preissl.
NeuroImage (2007)

484 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.

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