Andreas Wendemuth
Impact in
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- Emotion and Mood Recognition
- Signal Processing top 0.5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Speech Recognition and Synthesis 46
- Speech and dialogue systems 26
- Neural Networks and Applications 16
-
- Emotion and Mood Recognition 61
- Co-authors
- Bogdan Vlasenko (30 shared papers)Björn W. Schuller (11 shared papers)Gerhard Rigoll (9 shared papers)Ingo Siegert (55 shared papers)Ronald Böck (38 shared papers)Florian Eyben (3 shared papers)Susanne Biundo (6 shared papers)Martin Wöllmer (2 shared papers)
- Journals
- Lecture notes in computer science (24 papers)IEEE Transactions on Affective Computing (2 papers)Cognitive Computation (2 papers)Computer Speech & Language (2 papers)International Journal of Neural Systems (2 papers)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Andreas Wendemuth
142 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Experimental and Cognitive Psychology 1.2k
- Signal Processing 903
- Artificial Intelligence 1.1k
- Pharmacy 99
- Computer Vision and Pattern Recognition 357
Countries citing papers authored by Andreas Wendemuth
This map shows the geographic impact of Andreas Wendemuth'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 Wendemuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Wendemuth more than expected).
Fields of papers citing papers by Andreas Wendemuth
This network shows the impact of papers produced by Andreas Wendemuth. 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 Wendemuth. The network helps show where Andreas Wendemuth may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Wendemuth, 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 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 318 | |
| 2 | 2009 | 221 | |
| 3 | 2012 | 93 | |
| 4 | 2007 | 77 | |
| 5 | 2007 | 62 | |
| 6 | 2013 | 55 | |
| 7 | 2012 | 38 | |
| 8 | 2005 | 36 | |
| 9 | 2011 | 32 | |
| 10 | 2007 | 30 | |
| 11 | 2011 | 29 | |
| 12 | 2011 | 29 | |
| 13 | 2010 | 26 | |
| 14 | 2015 | 25 | |
| 15 | 2002 | 25 | |
| 16 | 2008 | 23 | |
| 17 | 2020 | 19 | |
| 18 | 1995 | 19 | |
| 19 | 2014 | 18 | |
| 20 | 2009 | 18 |
About Andreas Wendemuth
Andreas Wendemuth is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing, Computer Vision and Pattern Recognition and Social Psychology, having authored 149 papers that have together received 1.9k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (61 papers), Speech Recognition and Synthesis (46 papers), Speech and Audio Processing (46 papers), Music and Audio Processing (29 papers), Speech and dialogue systems (26 papers), Neural Networks and Applications (16 papers), Face and Expression Recognition (11 papers) and Social Robot Interaction and HRI (11 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.2k citations), Signal Processing (903 citations), Artificial Intelligence (1.1k citations), Pharmacy (99 citations) and Computer Vision and Pattern Recognition (357 citations). Andreas Wendemuth has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Bogdan Vlasenko, Björn W. Schuller, Gerhard Rigoll, Ingo Siegert, Ronald Böck, Florian Eyben, Susanne Biundo, Martin Wöllmer, André Stuhlsatz and Sven E. Krüger. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Affective Computing, Cognitive Computation, Computer Speech & Language and International Journal of Neural Systems.
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.