Ursula Körner
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
Papers in
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- Neural dynamics and brain function 14
- EEG and Brain-Computer Interfaces 5
- Visual perception and processing mechanisms 5
- Functional Brain Connectivity Studies 2
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- Neuroscience and Neuropharmacology Research 4
- Neuroscience and Neural Engineering 2
- Co-authors
- Christoph S. Herrmann (7 shared papers)Jeanette Schadow (6 shared papers)Ingo Fründ (6 shared papers)Niko A. Busch (5 shared papers)Edgar Körner (8 shared papers)Marc-Oliver Gewaltig (7 shared papers)Andreas Knoblauch (6 shared papers)Tobias Rodemann (1 shared paper)
In The Last Decade
Ursula Körner
17 papers receiving 321 citations
Peers
Comparison fields: 5 of 48
- Cognitive Neuroscience 279
- Sensory Systems 26
- Experimental and Cognitive Psychology 62
- Cellular and Molecular Neuroscience 63
- Statistical and Nonlinear Physics 25
Countries citing papers authored by Ursula Körner
This map shows the geographic impact of Ursula Körner'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 Ursula Körner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula Körner more than expected).
Fields of papers citing papers by Ursula Körner
This network shows the impact of papers produced by Ursula Körner. 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 Ursula Körner. The network helps show where Ursula Körner may publish in the future.
Co-authors
The 25 scholars most cited alongside Ursula Körner, 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 | 2011 | 61 | |
| 2 | 1999 | 48 | |
| 3 | 2007 | 43 | |
| 4 | 2006 | 38 | |
| 5 | 2007 | 38 | |
| 6 | 2014 | 27 | |
| 7 | 2008 | 15 | |
| 8 | 2008 | 12 | |
| 9 | 2009 | 11 | |
| 10 | 2006 | 10 | |
| 11 | 2006 | 5 | |
| 12 | Neurocomputing Research Developments | 2007 | 5 |
| 13 | 2004 | 5 | |
| 14 | 2010 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2007 | 3 | |
| 17 | 2009 | 2 |
About Ursula Körner
Ursula Körner is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 17 papers that have together received 330 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), EEG and Brain-Computer Interfaces (5 papers), Visual perception and processing mechanisms (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Advanced Memory and Neural Computing (4 papers), Neural Networks and Applications (3 papers), Neuroscience and Neural Engineering (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (279 citations), Sensory Systems (26 citations), Experimental and Cognitive Psychology (62 citations), Cellular and Molecular Neuroscience (63 citations) and Statistical and Nonlinear Physics (25 citations). Ursula Körner has collaborated with scholars based in Germany, Japan and France. Frequent co-authors include Christoph S. Herrmann, Jeanette Schadow, Ingo Fründ, Niko A. Busch, Edgar Körner, Marc-Oliver Gewaltig, Andreas Knoblauch, Tobias Rodemann, Andreas Richter and René J. Huster. Their work appears in journals such as Neurocomputing, Neural Networks, BMC Neuroscience, PLoS ONE and Clinical Neurophysiology.
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.