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)Wolfgang Minker (3 shared papers)Alexey Karpov (2 shared papers)
- Journals
- Language Resources and Evaluation (3 papers)Frontiers in Communication (2 papers)Cognitive Computation (1 paper)Computer Speech & Language (1 paper)Cognitive Systems Research (1 paper)
- Partner nations
- GermanySwitzerlandRussia
In The Last Decade
Ingo Siegert
55 papers receiving 292 citations
Peers
Comparison fields: 5 of 63
- Experimental and Cognitive Psychology 166
- Signal Processing 95
- Artificial Intelligence 168
- Human-Computer Interaction 21
- Social Psychology 50
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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 38 | |
| 2 | 2011 | 21 | |
| 3 | 2011 | 19 | |
| 4 | 2018 | 14 | |
| 5 | 2014 | 13 | |
| 6 | 2013 | 11 | |
| 7 | 2013 | 10 | |
| 8 | 2015 | 10 | |
| 9 | Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus | 2012 | 9 |
| 10 | 2021 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2012 | 8 | |
| 13 | 2019 | 8 | |
| 14 | Measuring the Impact of Audio Compression on the Spectral Quality of Speech Data | 2016 | 8 |
| 15 | Comparing phonetic changes in computer-directed and human-directed speech | 2019 | 7 |
| 16 | 2012 | 7 | |
| 17 | 2013 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2014 | 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 63 papers that have together received 309 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), Music and Audio Processing (6 papers) and Topic Modeling (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (166 citations), Signal Processing (95 citations), Artificial Intelligence (168 citations), Human-Computer Interaction (21 citations) and Social Psychology (50 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, Wolfgang Minker, Alexey Karpov, Jörg Frommer and Matthias Haase. Their work appears in journals such as Language Resources and Evaluation, Frontiers in Communication, Cognitive Computation, Computer Speech & Language and Cognitive Systems Research.
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.