Robert Jenke
Impact in
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- Emotion and Mood Recognition
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
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- EEG and Brain-Computer Interfaces 4
- Cognitive Science and Education Research 1
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- Emotion and Mood Recognition 5
- Co-authors
- Martin Buss (6 shared papers)Angelika Peer (5 shared papers)Michelle Karg (2 shared papers)Ansgar Schwirtz (1 shared paper)Wolfgang Seiberl (1 shared paper)Kolja Kühnlenz (1 shared paper)Christoph Kapeller (1 shared paper)Christoph Guger (1 shared paper)
- Journals
- IEEE Transactions on Affective Computing (1 paper)Cognitive Systems Research (1 paper)View (3 papers)mediaTUM (Technical University of Munich) (1 paper)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Robert Jenke
7 papers receiving 818 citations
Robert Jenke's Hit Papers
Peers
Comparison fields: 5 of 74
- Experimental and Cognitive Psychology 563
- Cognitive Neuroscience 671
- Human-Computer Interaction 126
- Signal Processing 148
- Computer Vision and Pattern Recognition 101
Countries citing papers authored by Robert Jenke
This map shows the geographic impact of Robert Jenke'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 Robert Jenke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Jenke more than expected).
Fields of papers citing papers by Robert Jenke
This network shows the impact of papers produced by Robert Jenke. 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 Robert Jenke. The network helps show where Robert Jenke may publish in the future.
Co-authors
The 9 scholars most cited alongside Robert Jenke, 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 | Feature Extraction and Selection for Emotion Recognition from EEG Hit paper breakdown → | 2014 | 770 |
| 2 | 2009 | 29 | |
| 3 | 2013 | 16 | |
| 4 | 2012 | 11 | |
| 5 | A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking | 2009 | 9 |
| 6 | 2018 | 9 | |
| 7 | 2013 | 5 |
About Robert Jenke
Robert Jenke is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Signal Processing, having authored 7 papers that have together received 849 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (5 papers), EEG and Brain-Computer Interfaces (4 papers), Human Pose and Action Recognition (2 papers), Gaze Tracking and Assistive Technology (1 paper), Cognitive Science and Education Research (1 paper), Video Surveillance and Tracking Methods (1 paper), Neuroscience and Neural Engineering (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (563 citations), Cognitive Neuroscience (671 citations), Human-Computer Interaction (126 citations), Signal Processing (148 citations) and Computer Vision and Pattern Recognition (101 citations). Robert Jenke has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Martin Buss, Angelika Peer, Michelle Karg, Ansgar Schwirtz, Wolfgang Seiberl, Kolja Kühnlenz, Christoph Kapeller, Christoph Guger and Christoph Hintermüller. Their work appears in journals such as IEEE Transactions on Affective Computing, Cognitive Systems Research, View and mediaTUM (Technical University of Munich).
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.