D-Index & Metrics Best Publications
Research.com 2022 Rising Star of Science Award Badge

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
Rising Stars D-index 36 Citations 5,458 180 World Ranking 765 National Ranking 6
Neuroscience D-index 40 Citations 6,226 172 World Ranking 4795 National Ranking 406

Research.com Recognitions

Awards & Achievements

2022 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Internal medicine
  • Cognition

Tobias Kaufmann mainly focuses on Brain–computer interface, Neuroscience, Stimulus, Event-related potential and Electroencephalography. His Brain–computer interface study incorporates themes from Physical medicine and rehabilitation, Speech recognition, Face, Locked-in syndrome and Disease. While the research belongs to areas of Locked-in syndrome, he spends his time largely on the problem of Physical therapy, intersecting his research to questions surrounding Usability.

Tobias Kaufmann has researched Neuroscience in several fields, including Genetic variation and Genetic architecture. His Stimulus research integrates issues from Facial recognition system, Facial expression and Salience. His work carried out in the field of Connectome brings together such families of science as Mental health, Psychiatry, Functional neuroimaging and Default mode network.

His most cited work include:

  • Flashing characters with famous faces improves ERP-based brain-computer interface performance. (217 citations)
  • ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis (168 citations)
  • Face stimuli effectively prevent brain-computer interface inefficiency in patients with neurodegenerative disease. (125 citations)

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

His primary areas of investigation include Neuroscience, Cognition, Schizophrenia, Neuroimaging and Brain morphometry. His research investigates the connection between Neuroscience and topics such as Genetic architecture that intersect with problems in Genome-wide association study and Cerebral cortex. His Cognition research is multidisciplinary, incorporating perspectives in White matter, Functional magnetic resonance imaging and Psychopathology, Clinical psychology.

His Schizophrenia research incorporates elements of Bipolar disorder, Hippocampus, Dementia and Elementary cognitive task. His study in Neuroimaging is interdisciplinary in nature, drawing from both Developmental psychology and Brain aging. His Brain morphometry study also includes fields such as

  • Multivariate statistics that intertwine with fields like Computational biology,
  • Internal medicine together with Resting state fMRI.

He most often published in these fields:

  • Neuroscience (33.33%)
  • Cognition (30.43%)
  • Schizophrenia (25.12%)

What were the highlights of his more recent work (between 2020-2021)?

  • Neuroimaging (18.36%)
  • Cognition (30.43%)
  • Diffusion MRI (12.08%)

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

His scientific interests lie mostly in Neuroimaging, Cognition, Diffusion MRI, Ageing and Schizophrenia. Tobias Kaufmann has included themes like Bipolar disorder, Pleiotropy, Kurtosis and Outlier in his Neuroimaging study. The Cognition study which covers Depression that intersects with Mental health, Genetic association, Genome-wide association study and Psychosis.

His Diffusion MRI study combines topics in areas such as White matter and Public health. The Schizophrenia study combines topics in areas such as Neuroscience, Clinical psychology and Elementary cognitive task. Tobias Kaufmann studies Neuroscience, namely Thalamus.

Between 2020 and 2021, his most popular works were:

  • Cardiometabolic risk factors associated with brain age and accelerate brain ageing (6 citations)
  • Cardiometabolic risk factors associated with brain age and accelerate brain ageing (6 citations)
  • Linking objective measures of physical activity and capability with brain structure in healthy community dwelling older adults (3 citations)

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

  • Neuroscience
  • Internal medicine
  • Cognition

Tobias Kaufmann spends much of his time researching Neuroimaging, Public health, Diffusion MRI, Neuroscience and Gene duplication. The study incorporates disciplines such as Spatial analysis, Data mining and Arterial spin labeling in addition to Neuroimaging. The concepts of his Public health study are interwoven with issues in Cardiology, Internal medicine, Blood pressure, Ageing and Dementia.

His research in Diffusion MRI intersects with topics in Longitudinal study, Anthropometry, White matter and Grip strength. Tobias Kaufmann has included themes like Autism and Medical genetics in his Neuroscience study. His studies in Gene duplication integrate themes in fields like Schizophrenia and Copy-number variation.

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

Flashing characters with famous faces improves ERP-based brain-computer interface performance.

T Kaufmann;S M Schulz;C Grünzinger;A Kübler.
Journal of Neural Engineering (2011)

306 Citations

The genetic architecture of the human cerebral cortex

Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde.
Science (2020)

297 Citations

ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis

Tobias Kaufmann;Stefan Sütterlin;Stefan M. Schulz;Claus Vögele.
Behavior Research Methods (2011)

278 Citations

Mapping the Heterogeneous Phenotype of Schizophrenia and Bipolar Disorder Using Normative Models.

Thomas Wolfers;Nhat Trung Doan;Tobias Kaufmann;Dag Alnæs.
JAMA Psychiatry (2018)

207 Citations

Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG

Vera Kaiser;Günther Bauernfeind;Alex Kreilinger;Tobias Kaufmann.
NeuroImage (2014)

192 Citations

The user-centered design as novel perspective for evaluating the usability of BCI-controlled applications.

Andrea Kübler;Elisa M. Holz;Angela Riccio;Claudia Zickler.
PLOS ONE (2014)

189 Citations

Oxytocin pathway gene networks in the human brain

Daniel S. Quintana;Jaroslav Rokicki;Jaroslav Rokicki;Dennis van der Meer;Dag Alnæs.
Nature Communications (2019)

187 Citations

Delayed stabilization and individualization in connectome development are related to psychiatric disorders

Tobias Kaufmann;Dag Alnæs;Nhat Trung Doan;Christine Lycke Brandt.
Nature Neuroscience (2017)

181 Citations

Face stimuli effectively prevent brain-computer interface inefficiency in patients with neurodegenerative disease.

Tobias Kaufmann;Stefan M. Schulz;Anja Köblitz;Gregor Renner.
Clinical Neurophysiology (2013)

165 Citations

Toward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentials

Tobias Kaufmann;Andreas Herweg;Andrea Kübler.
Journal of Neuroengineering and Rehabilitation (2014)

165 Citations

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