Kai Görgen
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Face Recognition and Perception
- Visual perception and processing mechanisms
- Memory and Neural Mechanisms
Papers in
-
- Neural and Behavioral Psychology Studies 9
- Neural dynamics and brain function 7
- Functional Brain Connectivity Studies 4
- Visual perception and processing mechanisms 3
- EEG and Brain-Computer Interfaces 3
- Face Recognition and Perception 3
- Co-authors
- John–Dylan HaynesBenjamin BlankertzSven DähneFelix BießmannFrank C. MeineckeStefan HaufeCarsten AllefeldCarlo Reverberi
- Journals
- NeuroImage (4 papers)Journal of Neuroscience (3 papers)Cerebral Cortex (1 paper)Data in Brief (1 paper)Human Brain Mapping (1 paper)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Kai Görgen
17 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cognitive Neuroscience 1.1k
- Experimental and Cognitive Psychology 157
- Signal Processing 97
- General Decision Sciences 11
- Cellular and Molecular Neuroscience 86
Countries citing papers authored by Kai Görgen
This map shows the geographic impact of Kai Görgen'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 Kai Görgen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Görgen more than expected).
Fields of papers citing papers by Kai Görgen
This network shows the impact of papers produced by Kai Görgen. 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 Kai Görgen. The network helps show where Kai Görgen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Görgen, 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 | 0 | |
| 2 | 2024 | 15 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2017 | 21 | |
| 9 | 2017 | 20 | |
| 10 | 2016 | 97 | |
| 11 | 2015 | 109 | |
| 12 | 2015 | 3 | |
| 13 | 2014 | 1 | |
| 14 | 2014 | 3 | |
| 15 | On the interpretation of weight vectors of linear models in multivariate neuroimaging Hit paper breakdown → | 2013 | 850 |
| 16 | 2012 | 40 | |
| 17 | 2012 | 8 | |
| 18 | 2011 | 90 |
About Kai Görgen
Kai Görgen is a scholar working on Cognitive Neuroscience, General Decision Sciences, Applied Psychology, Geometry and Topology and Signal Processing, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (9 papers), Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (4 papers), Visual perception and processing mechanisms (3 papers), EEG and Brain-Computer Interfaces (3 papers), Face Recognition and Perception (3 papers), Neural Networks and Applications (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Experimental and Cognitive Psychology (157 citations), Signal Processing (97 citations), General Decision Sciences (11 citations) and Cellular and Molecular Neuroscience (86 citations). Kai Görgen has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include John–Dylan Haynes, Benjamin Blankertz, Sven Dähne, Felix Bießmann, Frank C. Meinecke, Stefan Haufe, Carsten Allefeld, Carlo Reverberi, Daniel Birman and Matthias Schultze-Kraft. Their work appears in journals such as NeuroImage, Journal of Neuroscience, Cerebral Cortex, Data in Brief and Human Brain Mapping.
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.