Sven Magg
Impact in
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- Emotion and Mood Recognition
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- Face and Expression Recognition
- Face recognition and analysis
- Human Pose and Action Recognition
Papers in
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- Reinforcement Learning in Robotics 8
- Evolutionary Algorithms and Applications 3
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- Robot Manipulation and Learning 5
- Co-authors
- Stefan Wermter (19 shared papers)Henrique Siqueira (4 shared papers)Francisco Cruz (5 shared papers)Cornelius Weber (6 shared papers)German I. Parisi (2 shared papers)Sebastian Starke (1 shared paper)Norman Hendrich (1 shared paper)Jianwei Zhang (1 shared paper)
- Journals
- IEEE Transactions on Cognitive and Developmental Systems (1 paper)International Journal of Social Robotics (1 paper)Neural Networks (1 paper)Neural Computing and Applications (1 paper)Information Retrieval (1 paper)
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
Sven Magg
22 papers receiving 450 citations
Peers
Comparison fields: 5 of 67
- Experimental and Cognitive Psychology 124
- Computer Vision and Pattern Recognition 178
- Artificial Intelligence 204
- Human-Computer Interaction 30
- Control and Systems Engineering 111
Countries citing papers authored by Sven Magg
This map shows the geographic impact of Sven Magg'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 Sven Magg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Magg more than expected).
Fields of papers citing papers by Sven Magg
This network shows the impact of papers produced by Sven Magg. 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 Sven Magg. The network helps show where Sven Magg may publish in the future.
Co-authors
The 24 scholars most cited alongside Sven Magg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 115 | |
| 2 | 2016 | 58 | |
| 3 | 2017 | 47 | |
| 4 | 2016 | 35 | |
| 5 | 2016 | 35 | |
| 6 | 2020 | 33 | |
| 7 | 2015 | 28 | |
| 8 | 2018 | 21 | |
| 9 | Reusing Neural Speech Representations for Auditory Emotion Recognition | 2017 | 10 |
| 10 | 2015 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2007 | 9 | |
| 14 | 2014 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2018 | 7 | |
| 18 | 2018 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2013 | 4 |
About Sven Magg
Sven Magg is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Signal Processing and Experimental and Cognitive Psychology, having authored 22 papers that have together received 468 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Robot Manipulation and Learning (5 papers), Evolutionary Algorithms and Applications (3 papers), Emotion and Mood Recognition (3 papers), Music and Audio Processing (3 papers), Speech and Audio Processing (3 papers), Social Robot Interaction and HRI (3 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (124 citations), Computer Vision and Pattern Recognition (178 citations), Artificial Intelligence (204 citations), Human-Computer Interaction (30 citations) and Control and Systems Engineering (111 citations). Sven Magg has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Stefan Wermter, Henrique Siqueira, Francisco Cruz, Cornelius Weber, German I. Parisi, Sebastian Starke, Norman Hendrich, Jianwei Zhang, Nicolás Navarro-Guerrero and Matthias Kerzel. Their work appears in journals such as IEEE Transactions on Cognitive and Developmental Systems, International Journal of Social Robotics, Neural Networks, Neural Computing and Applications and Information Retrieval.
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.