D-Index & Metrics Best Publications
Neuroscience
Netherlands
2022

D-Index & Metrics

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
Neuroscience D-index 99 Citations 33,286 344 World Ranking 267 National Ranking 3

Research.com Recognitions

Awards & Achievements

2022 - Research.com Neuroscience in Netherlands Leader Award

2017 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Psychology and Cognitive Sciences

2014 - Royal Netherlands Academy of Arts and Sciences

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Cognition

Rainer Goebel spends much of his time researching Neuroscience, Functional magnetic resonance imaging, Brain mapping, Artificial intelligence and Visual cortex. His study in Brain activity and meditation, Electroencephalography, Hemoencephalography, Cognition and Human brain are all subfields of Neuroscience. His study in Functional magnetic resonance imaging is interdisciplinary in nature, drawing from both Cognitive psychology, Auditory Physiology, Insula, Auditory cortex and Neurofeedback.

His Brain mapping research is multidisciplinary, relying on both Representational similarity analysis, Perception, Developmental psychology, Resting state fMRI and Auditory area. His Artificial intelligence research incorporates elements of Machine learning, Computer vision and Pattern recognition. Rainer Goebel has included themes like Blindsight, Visual processing, Fusiform gyrus and Communication in his Visual cortex study.

His most cited work include:

  • Information-based functional brain mapping (1644 citations)
  • Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single-subject to cortically aligned group general linear model analysis and self-organizing group independent component analysis. (902 citations)
  • Mapping directed influence over the brain using Granger causality and fMRI. (832 citations)

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

His main research concerns Neuroscience, Functional magnetic resonance imaging, Artificial intelligence, Cognitive psychology and Visual cortex. His study in Brain activity and meditation, Cognition, Cortex, Human brain and Perception is carried out as part of his Neuroscience studies. In his research on the topic of Functional magnetic resonance imaging, Resting state fMRI is strongly related with Brain mapping.

The various areas that Rainer Goebel examines in his Artificial intelligence study include Communication, Machine learning, Computer vision and Pattern recognition. His Cognitive psychology research includes themes of Speech perception, Neuroimaging and Face perception. His work deals with themes such as Receptive field, Stimulus, Visual processing, Sensory system and Visual perception, which intersect with Visual cortex.

He most often published in these fields:

  • Neuroscience (43.06%)
  • Functional magnetic resonance imaging (39.54%)
  • Artificial intelligence (30.93%)

What were the highlights of his more recent work (between 2016-2021)?

  • Neuroscience (43.06%)
  • Artificial intelligence (30.93%)
  • Functional magnetic resonance imaging (39.54%)

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

Neuroscience, Artificial intelligence, Functional magnetic resonance imaging, Neurofeedback and Visual cortex are his primary areas of study. He has researched Artificial intelligence in several fields, including Neuroimaging, Mental image, Computer vision and Pattern recognition. His Pattern recognition research integrates issues from Probabilistic logic and Auditory cortex.

The study incorporates disciplines such as Cognitive psychology, Anterior cingulate cortex, Brain–computer interface, Cognitive neuroscience and Elementary cognitive task in addition to Functional magnetic resonance imaging. As part of one scientific family, Rainer Goebel deals mainly with the area of Neurofeedback, narrowing it down to issues related to the Anxiety, and often Amygdala. His research in Visual cortex intersects with topics in Visual processing, Perception, Stimulus, Visual field and Neuroplasticity.

Between 2016 and 2021, his most popular works were:

  • Targeting the affective brain—a randomized controlled trial of real-time fMRI neurofeedback in patients with depression (65 citations)
  • High resolution data analysis strategies for mesoscale human functional MRI at 7 and 9.4 T (58 citations)
  • High resolution data analysis strategies for mesoscale human functional MRI at 7 and 9.4 T (58 citations)

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

  • Artificial intelligence
  • Neuroscience
  • Cognition

Rainer Goebel mainly focuses on Neuroscience, Functional magnetic resonance imaging, Artificial intelligence, Neurofeedback and Visual cortex. His research in Functional magnetic resonance imaging intersects with topics in Brain–computer interface, Cognitive neuroscience and Audiology. His Cognitive neuroscience study deals with Set intersecting with Orbitofrontal cortex, Functional integration, Resting state fMRI and Brain mapping.

He has included themes like Machine learning, Mental image, Computer vision and Pattern recognition in his Artificial intelligence study. His study in Neurofeedback is interdisciplinary in nature, drawing from both Physical medicine and rehabilitation, Speech recognition, Anxiety, Anterior cingulate cortex and Depression. His Visual cortex research includes elements of Cortex, Visual field, Cortex and Cerebral cortex.

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

Information-based functional brain mapping

Nikolaus Kriegeskorte;Rainer Goebel;Peter Bandettini.
Proceedings of the National Academy of Sciences of the United States of America (2006)

1970 Citations

Mapping directed influence over the brain using Granger causality and fMRI.

Alard Roebroeck;Elia Formisano;Rainer Goebel.
NeuroImage (2005)

1045 Citations

7T vs. 4T: RF power, homogeneity, and signal-to-noise comparison in head images.

J. T Vaughan;Michael Garwood;C. M. Collins;W. Liu.
Magnetic Resonance in Medicine (2001)

962 Citations

Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single-subject to cortically aligned group general linear model analysis and self-organizing group independent component analysis.

Rainer Goebel;Fabrizio Esposito;Elia Formisano.
Human Brain Mapping (2006)

902 Citations

Activation of Heschl’s Gyrus during Auditory Hallucinations

Thomas Dierks;David Edmund Johannes Linden;David Edmund Johannes Linden;Martin Jandl;Elia Formisano.
Neuron (1999)

864 Citations

Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping.

Rainer Goebel;Alard Roebroeck;Dae-Shik Kim;Elia Formisano.
Magnetic Resonance Imaging (2003)

728 Citations

Localizing P300 Generators in Visual Target and Distractor Processing: A Combined Event-Related Potential and Functional Magnetic Resonance Imaging Study

Christoph Bledowski;David Prvulovic;Karsten Hoechstetter;Michael Scherg.
The Journal of Neuroscience (2004)

590 Citations

Integration of letters and speech sounds in the human brain.

Nienke van Atteveldt;Elia Formisano;Rainer Goebel;Rainer Goebel;Leo Blomert.
Neuron (2004)

552 Citations

The constructive nature of vision: direct evidence from functional magnetic resonance imaging studies of apparent motion and motion imagery.

Rainer Goebel;Darius Khorram‐Sefat;Lars Muckli;Hans Hacker.
European Journal of Neuroscience (1998)

549 Citations

The Functional Neuroanatomy of Target Detection: An fMRI Study of Visual and Auditory Oddball Tasks

David E.J. Linden;David Prvulovic;Elia Formisano;Martin Völlinger.
Cerebral Cortex (1999)

546 Citations

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