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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- Emotion and Mood Recognition 5
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- EEG and Brain-Computer Interfaces 4
- Co-authors
- MARTIN J. BUSS (6 shared papers)Angelika Peer (5 shared papers)Achim Michael Aigner (10 shared papers)Thomas Büch (8 shared papers)Finn Kristian Hansen (4 shared papers)Nina Reßing (1 shared paper)Michelle E. Karg (2 shared papers)Linda Schäker‐Hübner (2 shared papers)
- Journals
- IEEE Transactions on Affective Computing (1 paper)Neoplasia (1 paper)Cell Death Discovery (1 paper)Pharmaceuticals (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Robert Jenke
16 papers receiving 1.2k citations
Robert Jenke's Hit Papers
Peers
Comparison fields: 5 of 102
- Experimental and Cognitive Psychology 628
- Cognitive Neuroscience 730
- Human-Computer Interaction 139
- Signal Processing 157
- Cardiology and Cardiovascular Medicine 109
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 21 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 | 868 |
| 2 | 2021 | 147 | |
| 3 | 2022 | 31 | |
| 4 | 2024 | 30 | |
| 5 | 2009 | 30 | |
| 6 | 2013 | 19 | |
| 7 | 2018 | 11 | |
| 8 | A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking | 2009 | 11 |
| 9 | 2012 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2021 | 7 | |
| 12 | 2013 | 7 | |
| 13 | 2020 | 5 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 |
About Robert Jenke
Robert Jenke is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition and Oncology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (6 papers), Emotion and Mood Recognition (5 papers), EEG and Brain-Computer Interfaces (4 papers), Ferroptosis and cancer prognosis (2 papers), Protein Degradation and Inhibitors (2 papers), Epigenetics and DNA Methylation (2 papers), Human Pose and Action Recognition (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (628 citations), Cognitive Neuroscience (730 citations), Human-Computer Interaction (139 citations), Signal Processing (157 citations) and Cardiology and Cardiovascular Medicine (109 citations). Robert Jenke has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include MARTIN J. BUSS, Angelika Peer, Achim Michael Aigner, Thomas Büch, Finn Kristian Hansen, Nina Reßing, Michelle E. Karg, Linda Schäker‐Hübner, Ansgar Schwirtz and Wolfgang Seiberl. Their work appears in journals such as IEEE Transactions on Affective Computing, Neoplasia, Cell Death Discovery, Pharmaceuticals and International Journal of Molecular Sciences.
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.