Liam Schoneveld
Impact in
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- Emotion and Mood Recognition
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- Computer Graphics and Visualization Techniques
Papers in
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- Face and Expression Recognition 1
- Video Analysis and Summarization 1
- Face recognition and analysis 1
- Advanced Vision and Imaging 1
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- Music and Audio Processing 2
- Co-authors
- Alice Othmani (3 shared papers)Shenhan Qian (1 shared paper)Tobias Kirschstein (2 shared papers)Simon Giebenhain (1 shared paper)Matthias Nießner (2 shared papers)Jiapeng Tang (1 shared paper)
- Journals
- IEEE Access (1 paper)Pattern Recognition Letters (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Liam Schoneveld
5 papers receiving 274 citations
Liam Schoneveld's Hit Papers
Peers
Comparison fields: 5 of 59
- Experimental and Cognitive Psychology 120
- Computer Graphics and Computer-Aided Design 33
- Computer Vision and Pattern Recognition 149
- Signal Processing 54
- Human-Computer Interaction 13
Countries citing papers authored by Liam Schoneveld
This map shows the geographic impact of Liam Schoneveld'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 Liam Schoneveld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam Schoneveld more than expected).
Fields of papers citing papers by Liam Schoneveld
This network shows the impact of papers produced by Liam Schoneveld. 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 Liam Schoneveld. The network helps show where Liam Schoneveld may publish in the future.
Co-authors
The 6 scholars most cited alongside Liam Schoneveld, 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 | Leveraging recent advances in deep learning for audio-Visual emotion recognition Hit paper breakdown → | 2021 | 171 |
| 2 | GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians Hit paper breakdown → | 2024 | 89 |
| 3 | 2021 | 11 | |
| 4 | 2022 | 10 | |
| 5 | 2025 | 1 |
About Liam Schoneveld
Liam Schoneveld is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology, Computer Graphics and Computer-Aided Design and Control and Systems Engineering, having authored 5 papers that have together received 282 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (2 papers), Computer Graphics and Visualization Techniques (2 papers), Music and Audio Processing (2 papers), Face and Expression Recognition (1 paper), Video Analysis and Summarization (1 paper), Face recognition and analysis (1 paper), Advanced Vision and Imaging (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (120 citations), Computer Graphics and Computer-Aided Design (33 citations), Computer Vision and Pattern Recognition (149 citations), Signal Processing (54 citations) and Human-Computer Interaction (13 citations). Liam Schoneveld has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Alice Othmani, Shenhan Qian, Tobias Kirschstein, Simon Giebenhain, Matthias Nießner and Jiapeng Tang. Their work appears in journals such as IEEE Access, Pattern Recognition Letters and arXiv (Cornell University).
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.