D-Index & Metrics Best Publications
Research.com 2022 Best 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 Scientists D-index 177 Citations 126,269 926 World Ranking 478 National Ranking 14
Psychology D-index 147 Citations 91,989 717 World Ranking 55 National Ranking 2
Neuroscience D-index 156 Citations 101,414 807 World Ranking 64 National Ranking 1

Research.com Recognitions

Awards & Achievements

2023 - Research.com Psychology in Germany Leader Award

2023 - Research.com Neuroscience in Germany Leader Award

2022 - Research.com Best Scientist Award

2022 - Research.com Psychology in Germany Leader Award

2022 - Research.com Neuroscience in Germany Leader Award

2013 - Aristotle Prize, European Federation of Psychologists' Associations

2009 - Fellow of the American Association for the Advancement of Science (AAAS)

2003 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Neurosciences

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Internal medicine
  • Cognition

Neuroscience, Electroencephalography, Brain–computer interface, Functional magnetic resonance imaging and Brain activity and meditation are his primary areas of study. His Electroencephalography study combines topics from a wide range of disciplines, such as Biofeedback, Physical medicine and rehabilitation, Amyotrophic lateral sclerosis and Audiology. His Brain–computer interface research is multidisciplinary, incorporating elements of Stroke, Speech recognition, Human–computer interaction and Artificial intelligence.

His Human–computer interaction study integrates concerns from other disciplines, such as Neuroprosthetics and Identification. His Functional magnetic resonance imaging research is multidisciplinary, relying on both Neuroimaging, Insula, Orbitofrontal cortex and Amygdala. The Brain activity and meditation study combines topics in areas such as Resting state fMRI and Pattern recognition.

His most cited work include:

  • Brain-computer interfaces for communication and control. (5786 citations)
  • Brain-computer interfaces for communication and control. (5786 citations)
  • BCI2000: a general-purpose brain-computer interface (BCI) system (1857 citations)

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

Niels Birbaumer mainly focuses on Neuroscience, Electroencephalography, Brain–computer interface, Audiology and Physical medicine and rehabilitation. Functional magnetic resonance imaging, Brain activity and meditation, Magnetoencephalography, Cognition and Electrophysiology are subfields of Neuroscience in which his conducts study. He has included themes like Stimulus, Biofeedback, Amyotrophic lateral sclerosis and Motor cortex in his Electroencephalography study.

His study focuses on the intersection of Brain–computer interface and fields such as Artificial intelligence with connections in the field of Pattern recognition. His research investigates the link between Audiology and topics such as Developmental psychology that cross with problems in Classical conditioning. His work carried out in the field of Physical medicine and rehabilitation brings together such families of science as Stroke, Rehabilitation, Physical therapy and Paralysis.

He most often published in these fields:

  • Neuroscience (49.84%)
  • Electroencephalography (35.84%)
  • Brain–computer interface (27.04%)

What were the highlights of his more recent work (between 2013-2021)?

  • Brain–computer interface (27.04%)
  • Physical medicine and rehabilitation (16.12%)
  • Neuroscience (49.84%)

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

Niels Birbaumer focuses on Brain–computer interface, Physical medicine and rehabilitation, Neuroscience, Electroencephalography and Brain activity and meditation. His Brain–computer interface research integrates issues from Brain control, Amyotrophic lateral sclerosis, Artificial intelligence and Neuroprosthetics. He has researched Physical medicine and rehabilitation in several fields, including Rehabilitation, Physical therapy, Neurorehabilitation, Stroke and Paralysis.

The various areas that Niels Birbaumer examines in his Electroencephalography study include Motor cortex, Exoskeleton, Decoding methods and Audiology. His research integrates issues of Developmental psychology, Somatosensory system and Insula in his study of Audiology. Niels Birbaumer works mostly in the field of Brain activity and meditation, limiting it down to topics relating to Neuroimaging and, in certain cases, Cognitive psychology.

Between 2013 and 2021, his most popular works were:

  • Closed-loop brain training: the science of neurofeedback (427 citations)
  • Brain–computer interfaces for communication and rehabilitation (259 citations)
  • Brain-machine interfaces in neurorehabilitation of stroke. (167 citations)

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

  • Internal medicine
  • Neuroscience
  • Cognition

His scientific interests lie mostly in Brain–computer interface, Physical medicine and rehabilitation, Neuroscience, Brain activity and meditation and Neurofeedback. His Brain–computer interface research is under the purview of Electroencephalography. His work deals with themes such as Rehabilitation, Amyotrophic lateral sclerosis, Paralysis and Stroke, which intersect with Physical medicine and rehabilitation.

When carried out as part of a general Neuroscience research project, his work on Motor control, Stimulation, Motor system and Chronic stroke is frequently linked to work in Closed loop, therefore connecting diverse disciplines of study. The concepts of his Brain activity and meditation study are interwoven with issues in Motor cortex, Arousal, Cognition and Neuroprosthetics. His research in Neurofeedback intersects with topics in Functional connectivity, Cognitive science, Brain mapping and Pattern recognition.

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

Brain-computer interfaces for communication and control.

Jonathan R Wolpaw;Jonathan R Wolpaw;Niels Birbaumer;Niels Birbaumer;Dennis J McFarland;Gert Pfurtscheller.
Clinical Neurophysiology (2002)

8891 Citations

BCI2000: a general-purpose brain-computer interface (BCI) system

G. Schalk;D.J. McFarland;T. Hinterberger;N. Birbaumer.
IEEE Transactions on Biomedical Engineering (2004)

2904 Citations

Brain-computer interface technology: a review of the first international meeting

J.R. Wolpaw;N. Birbaumer;W.J. Heetderks;D.J. McFarland.
international conference of the ieee engineering in medicine and biology society (2000)

2568 Citations

Quantitative sensory testing in the German Research Network on Neuropathic Pain (DFNS): Standardized protocol and reference values

R. Rolke;R. Baron;C. Maier;T.R. Tölle.
Pain (2006)

2217 Citations

Brain potentials in affective picture processing: Covariation with autonomic arousal and affective report

Bruce N. Cuthbert;Harald Thomas Schupp;Margaret M. Bradley;Niels Birbaumer.
Biological Psychology (2000)

2110 Citations

A spelling device for the paralysed

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

2047 Citations

Slow potentials of the cerebral cortex and behavior.

N. Birbaumer;T. Elbert;A. G. M. Canavan;B. Rockstroh.
Physiological Reviews (1990)

1354 Citations

Activation of Cortical and Cerebellar Motor Areas during Executed and Imagined Hand Movements: An fMRI Study

Martin Lotze;Pedro Montoya;Michael Erb;Ernst Hülsmann.
Journal of Cognitive Neuroscience (1999)

1154 Citations

Quantitative sensory testing in the German Research Network on Neuropathic Pain (DFNS): Somatosensory abnormalities in 1236 patients with different neuropathic pain syndromes

C. Maier;R. Baron;T. R. Tölle;A. Binder.
Pain (2010)

1114 Citations

Deficient Fear Conditioning in Psychopathy A Functional Magnetic Resonance Imaging Study

Niels Birbaumer;Ralf Veit;Martin Lotze;Michael Erb.
Archives of General Psychiatry (2005)

1037 Citations

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