André Stuhlsatz
Impact in
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- Emotion and Mood Recognition
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Neural Networks and Applications 5
- Speech Recognition and Synthesis 3
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- Face and Expression Recognition 3
- Generative Adversarial Networks and Image Synthesis 2
- Image Retrieval and Classification Techniques 2
- Co-authors
- Thomas Zielke (5 shared papers)Florian Eyben (3 shared papers)Björn W. Schuller (3 shared papers)Bogdan Vlasenko (2 shared papers)Gerhard Rigoll (2 shared papers)Andreas Wendemuth (3 shared papers)Martin Wöllmer (2 shared papers)Christine Meyer (1 shared paper)
- Journals
- IEEE Transactions on Affective Computing (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Water Science & Technology (1 paper)Graphical Models (1 paper)Transactions of the Institute of Measurement and Control (1 paper)
- Partner nations
- GermanyIrelandNetherlands
In The Last Decade
André Stuhlsatz
12 papers receiving 742 citations
Peers
Comparison fields: 5 of 89
- Experimental and Cognitive Psychology 439
- Signal Processing 366
- Artificial Intelligence 369
- Computer Vision and Pattern Recognition 203
- Pharmacy 38
Countries citing papers authored by André Stuhlsatz
This map shows the geographic impact of André Stuhlsatz'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 André Stuhlsatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Stuhlsatz more than expected).
Fields of papers citing papers by André Stuhlsatz
This network shows the impact of papers produced by André Stuhlsatz. 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 André Stuhlsatz. The network helps show where André Stuhlsatz may publish in the future.
Co-authors
The 16 scholars most cited alongside André Stuhlsatz, 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 | 2010 | 318 | |
| 2 | 2011 | 232 | |
| 3 | 2012 | 111 | |
| 4 | 2012 | 32 | |
| 5 | 2011 | 26 | |
| 6 | 2020 | 20 | |
| 7 | 2010 | 18 | |
| 8 | 2010 | 8 | |
| 9 | 2007 | 7 | |
| 10 | 2010 | 5 | |
| 11 | 2017 | 4 | |
| 12 | 2015 | 3 | |
| 13 | State Estimation for Anaerobic Digesters using the ADM1 | 2011 | 1 |
| 14 | 2007 | 0 |
About André Stuhlsatz
André Stuhlsatz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering and Experimental and Cognitive Psychology, having authored 14 papers that have together received 785 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Face and Expression Recognition (3 papers), Speech Recognition and Synthesis (3 papers), Speech and Audio Processing (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Music and Audio Processing (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (439 citations), Signal Processing (366 citations), Artificial Intelligence (369 citations), Computer Vision and Pattern Recognition (203 citations) and Pharmacy (38 citations). André Stuhlsatz has collaborated with scholars based in Germany, Ireland and Netherlands. Frequent co-authors include Thomas Zielke, Florian Eyben, Björn W. Schuller, Bogdan Vlasenko, Gerhard Rigoll, Andreas Wendemuth, Martin Wöllmer, Christine Meyer, Daniel Gaida and Michael Bongards. Their work appears in journals such as IEEE Transactions on Affective Computing, IEEE Transactions on Neural Networks and Learning Systems, Water Science & Technology, Graphical Models and Transactions of the Institute of Measurement and Control.
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.