D-Index & Metrics Best Publications
Research.com 2022 Best Female Scientist Award Badge
Psychology
Germany
2023

D-Index & Metrics 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.

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
Best female scientists D-index 100 Citations 32,087 299 World Ranking 904 National Ranking 37
Psychology D-index 87 Citations 26,533 257 World Ranking 752 National Ranking 21

Research.com Recognitions

Awards & Achievements

2023 - Research.com Psychology in Germany Leader Award

2022 - Research.com Best Female Scientist Award

Overview

What is she best known for?

The fields of study she is best known for:

  • Cognition
  • Neuroscience
  • Artificial intelligence

Andrea Kübler mainly investigates Brain–computer interface, Electroencephalography, Audiology, Neuroscience and Locked-in syndrome. Andrea Kübler combines Brain–computer interface and Spelling in her research. Her Electroencephalography study integrates concerns from other disciplines, such as Biofeedback, Physical medicine and rehabilitation, Neurophysiology and Amyotrophic lateral sclerosis.

Her Audiology research is multidisciplinary, incorporating elements of Attention span, Sentence, Electrodiagnosis and Communication. Her Neuroscience research integrates issues from Cursor, Predictability and Time course. Her Locked-in syndrome research incorporates elements of Stimulus and Information transfer.

Her most cited work include:

  • A spelling device for the paralysed (1292 citations)
  • Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges. (643 citations)
  • A P300-based brain–computer interface for people with amyotrophic lateral sclerosis (512 citations)

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

Andrea Kübler mainly focuses on Brain–computer interface, Electroencephalography, Neuroscience, Audiology and Human–computer interaction. Her Brain–computer interface course of study focuses on Usability and User-centered design. Andrea Kübler interconnects Biofeedback and Session in the investigation of issues within Electroencephalography.

Her Neuroscience study deals with Amyotrophic lateral sclerosis intersecting with Psychiatry. Her Audiology research includes themes of Developmental psychology and Communication. Her Human–computer interaction study incorporates themes from Multimedia, The Internet and End user.

She most often published in these fields:

  • Brain–computer interface (63.69%)
  • Electroencephalography (30.46%)
  • Neuroscience (19.08%)

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

  • Brain–computer interface (63.69%)
  • Electroencephalography (30.46%)
  • Physical medicine and rehabilitation (12.62%)

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

Andrea Kübler focuses on Brain–computer interface, Electroencephalography, Physical medicine and rehabilitation, Cognitive psychology and Human–computer interaction. Her Brain–computer interface study is related to the wider topic of Neuroscience. Her biological study spans a wide range of topics, including Session, Stimulation, Rhythm and Audiology.

Her studies in Physical medicine and rehabilitation integrate themes in fields like Relaxation, Progressive muscle relaxation, Cognitive rehabilitation therapy and Stroke. Her study on Cognitive psychology also encompasses disciplines like

  • Wakefulness and Logical reasoning most often made with reference to Consciousness,
  • Mental image, which have a strong connection to Perception. Her work on User-centered design as part of general Human–computer interaction research is often related to Training study and Headset, thus linking different fields of science.

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) (92 citations)
  • Effects of training and motivation on auditory P300 brain–computer interface performance (55 citations)
  • Wheelchair control by elderly participants in a virtual environment with a brain-computer interface (BCI) and tactile stimulation. (43 citations)

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

  • Cognition
  • Artificial intelligence
  • Neuroscience

Her primary scientific interests are in Brain–computer interface, Electroencephalography, Cognition, Session and Speech recognition. Her Brain–computer interface research includes elements of Information transfer, Gaze, Usability, Human–computer interaction and End user. The concepts of her Information transfer study are interwoven with issues in Natural sounds, Neuroscience and Mood.

Brain activity and meditation is the focus of her Electroencephalography research. In her study, Oddball paradigm, Event-related potential and Audiology is inextricably linked to Minimally conscious state, which falls within the broad field of Cognition. Her Session research focuses on Communication and how it connects with Visualization, Between-group design and Rhythm.

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

A spelling device for the paralysed

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

2047 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)

879 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)

752 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)

748 Citations

Brain-computer communication: unlocking the locked in.

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

743 Citations

Neurophysiological Predictor of SMR-based BCI Performance

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

684 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)

647 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)

646 Citations

Psychobiology of altered states of Consciousness

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

580 Citations

An MEG-based brain-computer interface (BCI)

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

513 Citations

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