Ingo Siegert
Impact in
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- Emotion and Mood Recognition
- Phonetics and Phonology Research
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Speech and dialogue systems 19
- Speech Recognition and Synthesis 17
- AI in Service Interactions 7
- Topic Modeling 6
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- Emotion and Mood Recognition 25
- Co-authors
- Andreas Wendemuth (33 shared papers)Ronald Böck (12 shared papers)Bogdan Vlasenko (5 shared papers)Oliver Niebuhr (4 shared papers)Bernd Möbius (2 shared papers)Ingmar Steiner (2 shared papers)Jörg Frommer (2 shared papers)Andreas Nürnberger (2 shared papers)
- Journals
- Language Resources and Evaluation (3 papers)Frontiers in Communication (2 papers)Technology Knowledge and Learning (1 paper)Cognitive Computation (1 paper)Computer Speech & Language (1 paper)
- Partner nations
- GermanySwitzerlandRussia
In The Last Decade
Ingo Siegert
59 papers receiving 304 citations
Peers
Comparison fields: 5 of 61
- Experimental and Cognitive Psychology 169
- Signal Processing 96
- Artificial Intelligence 170
- Human-Computer Interaction 22
- Social Psychology 52
Countries citing papers authored by Ingo Siegert
This map shows the geographic impact of Ingo Siegert'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 Ingo Siegert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Siegert more than expected).
Fields of papers citing papers by Ingo Siegert
This network shows the impact of papers produced by Ingo Siegert. 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 Ingo Siegert. The network helps show where Ingo Siegert may publish in the future.
Co-authors
The 25 scholars most cited alongside Ingo Siegert, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 39 | |
| 2 | 2011 | 21 | |
| 3 | 2011 | 19 | |
| 4 | 2018 | 15 | |
| 5 | 2014 | 14 | |
| 6 | 2013 | 12 | |
| 7 | 2013 | 10 | |
| 8 | 2015 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2012 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2012 | 8 | |
| 13 | 2013 | 8 | |
| 14 | Measuring the Impact of Audio Compression on the Spectral Quality of Speech Data | 2016 | 8 |
| 15 | 2019 | 8 | |
| 16 | Comparing phonetic changes in computer-directed and human-directed speech | 2019 | 7 |
| 17 | 2012 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2013 | 6 | |
| 20 | 2020 | 5 |
About Ingo Siegert
Ingo Siegert is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing, Social Psychology and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 321 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (25 papers), Speech and dialogue systems (19 papers), Speech Recognition and Synthesis (17 papers), Speech and Audio Processing (13 papers), Social Robot Interaction and HRI (10 papers), AI in Service Interactions (7 papers), Topic Modeling (6 papers) and Music and Audio Processing (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (169 citations), Signal Processing (96 citations), Artificial Intelligence (170 citations), Human-Computer Interaction (22 citations) and Social Psychology (52 citations). Ingo Siegert has collaborated with scholars based in Germany, Switzerland and Russia. Frequent co-authors include Andreas Wendemuth, Ronald Böck, Bogdan Vlasenko, Oliver Niebuhr, Bernd Möbius, Ingmar Steiner, Jörg Frommer, Andreas Nürnberger, Dietmar Rösner and Wolfgang Minker. Their work appears in journals such as Language Resources and Evaluation, Frontiers in Communication, Technology Knowledge and Learning, Cognitive Computation and Computer Speech & Language.
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.