Gregor Thut
- Cognitive Neuroscience top 0.05%
- Neural dynamics and brain function 79
- EEG and Brain-Computer Interfaces 52
- Visual perception and processing mechanisms 41
- Neural and Behavioral Psychology Studies 40
- Functional Brain Connectivity Studies 24
- Spatial Neglect and Hemispheric Dysfunction 16
- Neurology top 0.1%
- Transcranial Magnetic Stimulation Studies 33
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- Multisensory perception and integration 26
- Sensory Systems top 0.2%
- Co-authors
- Joachim GroßVincenzo RomeiChristoph M. MichelÁlvaro Pascual‐LeoneCarlo MiniussiPhilippe G. SchynsStephan A. BrandtDomenica Veniero
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Gregor Thut
155 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Cognitive Neuroscience 12.5k
- Neurology 3.1k
- Experimental and Cognitive Psychology 2.4k
- Sensory Systems 879
- Cellular and Molecular Neuroscience 1.5k
Countries citing papers authored by Gregor Thut
This map shows the geographic impact of Gregor Thut's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gregor Thut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Thut more than expected).
Fields of papers citing papers by Gregor Thut
This network shows the impact of papers produced by Gregor Thut. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gregor Thut. The network helps show where Gregor Thut may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregor Thut, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 39 | |
| 6 | 2021 | 42 | |
| 7 | ニューロン同調の役割の新しい統一的説明【JST・京大機械翻訳】 | 2019 | 2 |
| 8 | 2018 | 15 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 69 | |
| 11 | 2015 | 1 | |
| 12 | 2015 | 136 | |
| 13 | 2015 | 31 | |
| 14 | 2014 | 200 | |
| 15 | 2012 | 90 | |
| 16 | 2010 | 115 | |
| 17 | 2007 | 138 | |
| 18 | 2006 | 45 | |
| 19 | 2005 | 414 | |
| 20 | 2001 | 208 |
About Gregor Thut
Gregor Thut is a scholar working on Cognitive Neuroscience, Neurology, Sensory Systems, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience, having authored 157 papers that have together received 14.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (79 papers), EEG and Brain-Computer Interfaces (52 papers), Visual perception and processing mechanisms (41 papers), Neural and Behavioral Psychology Studies (40 papers), Transcranial Magnetic Stimulation Studies (33 papers), Multisensory perception and integration (26 papers), Functional Brain Connectivity Studies (24 papers) and Spatial Neglect and Hemispheric Dysfunction (16 papers). The work is most often cited by research in Cognitive Neuroscience (12.5k citations), Neurology (3.1k citations), Experimental and Cognitive Psychology (2.4k citations), Sensory Systems (879 citations) and Cellular and Molecular Neuroscience (1.5k citations). Gregor Thut has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Joachim Groß, Vincenzo Romei, Christoph M. Michel, Álvaro Pascual‐Leone, Carlo Miniussi, Philippe G. Schyns, Stephan A. Brandt, Domenica Veniero, Tonia A. Rihs and Micah M. Murray. Their work appears in journals such as Journal of Neuroscience, NeuroImage, Current Biology, Clinical Neurophysiology and European Journal of Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.