Andreas Scheck
Impact in
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- Emotion and Mood Recognition
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- EEG and Brain-Computer Interfaces
- Face Recognition and Perception
Papers in ⓘ
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- Face Recognition and Perception 5
- EEG and Brain-Computer Interfaces 3
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- Emotion and Mood Recognition 7
- Co-authors
- Harald C. Traue (8 shared papers)Henrik Kessler (7 shared papers)Holger Hoffmann (6 shared papers)Steffen Walter (5 shared papers)Jun-Wen Tan (2 shared papers)Bruno E. Correia (5 shared papers)Jaume Bonet (3 shared papers)Karla M. Castro (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Journal of Ambient Intelligence and Humanized Computing (1 paper)Bioinformatics (1 paper)BMC Bioinformatics (1 paper)Language Resources and Evaluation (1 paper)
- Partner nations
- GermanySwitzerlandChina
In The Last Decade
Andreas Scheck
15 papers receiving 180 citations
Peers
Comparison fields: 5 of 61
- Experimental and Cognitive Psychology 57
- Cognitive Neuroscience 62
- Human-Computer Interaction 10
- Social Psychology 36
- Business and International Management 3
Countries citing papers authored by Andreas Scheck
This map shows the geographic impact of Andreas Scheck'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 Andreas Scheck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Scheck more than expected).
Fields of papers citing papers by Andreas Scheck
This network shows the impact of papers produced by Andreas Scheck. 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 Andreas Scheck. The network helps show where Andreas Scheck may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Scheck, 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 | 55 | |
| 2 | 2018 | 27 | |
| 3 | 2012 | 23 | |
| 4 | 2020 | 15 | |
| 5 | 2022 | 13 | |
| 6 | 2011 | 10 | |
| 7 | 2019 | 8 | |
| 8 | 2013 | 8 | |
| 9 | 2011 | 8 | |
| 10 | 2015 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2010 | 2 | |
| 13 | 2010 | 2 | |
| 14 | 2012 | 2 | |
| 15 | Towards investigating effective affective dialogue strategies | 2010 | 1 |
About Andreas Scheck
Andreas Scheck is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Molecular Biology, Social Psychology and Materials Chemistry, having authored 15 papers that have together received 183 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (7 papers), Face Recognition and Perception (5 papers), RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (4 papers), EEG and Brain-Computer Interfaces (3 papers), Emotions and Moral Behavior (2 papers), Enzyme Structure and Function (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (57 citations), Cognitive Neuroscience (62 citations), Human-Computer Interaction (10 citations), Social Psychology (36 citations) and Business and International Management (3 citations). Andreas Scheck has collaborated with scholars based in Germany, Switzerland and China. Frequent co-authors include Harald C. Traue, Henrik Kessler, Holger Hoffmann, Steffen Walter, Jun-Wen Tan, Bruno E. Correia, Jaume Bonet, Karla M. Castro, Zander Harteveld and Stéphane Rosset. Their work appears in journals such as PLoS Computational Biology, Journal of Ambient Intelligence and Humanized Computing, Bioinformatics, BMC Bioinformatics and Language Resources and Evaluation.
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.