Ingo Siegert
Impact in
-
- Emotion and Mood Recognition
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech and dialogue systems 29
- Speech Recognition and Synthesis 21
- AI in Service Interactions 11
-
- Emotion and Mood Recognition 39
- Co-authors
- Andreas Wendemuth (55 shared papers)Ronald Böck (21 shared papers)Bogdan Vlasenko (6 shared papers)Matthias Haase (8 shared papers)Oliver Niebuhr (4 shared papers)Julia Lange (2 shared papers)Gerald Krell (5 shared papers)Kim Hartmann (2 shared papers)
- Journals
- Language Resources and Evaluation (3 papers)Lecture notes in computer science (20 papers)Frontiers in Communication (2 papers)Sensors (1 paper)Cognitive Computation (1 paper)
- Partner nations
- GermanyRussiaSwitzerland
In The Last Decade
Ingo Siegert
88 papers receiving 587 citations
Peers
Comparison fields: 5 of 74
- Experimental and Cognitive Psychology 317
- Signal Processing 180
- Human-Computer Interaction 68
- Artificial Intelligence 325
- Pharmacy 23
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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 55 | |
| 2 | 2011 | 32 | |
| 3 | 2011 | 29 | |
| 4 | 2014 | 18 | |
| 5 | 2013 | 18 | |
| 6 | 2011 | 17 | |
| 7 | 2013 | 17 | |
| 8 | 2018 | 16 | |
| 9 | 2017 | 16 | |
| 10 | 2013 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2012 | 15 | |
| 13 | 2013 | 15 | |
| 14 | Measuring the Impact of Audio Compression on the Spectral Quality of Speech Data | 2016 | 14 |
| 15 | 2013 | 12 | |
| 16 | 2015 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2012 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2013 | 10 |
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 98 papers that have together received 615 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (39 papers), Speech and dialogue systems (29 papers), Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (20 papers), Social Robot Interaction and HRI (12 papers), Music and Audio Processing (11 papers), AI in Service Interactions (11 papers) and Digital Communication and Language (9 papers). The work is most often cited by research in Experimental and Cognitive Psychology (317 citations), Signal Processing (180 citations), Human-Computer Interaction (68 citations), Artificial Intelligence (325 citations) and Pharmacy (23 citations). Ingo Siegert has collaborated with scholars based in Germany, Russia and Switzerland. Frequent co-authors include Andreas Wendemuth, Ronald Böck, Bogdan Vlasenko, Matthias Haase, Oliver Niebuhr, Julia Lange, Gerald Krell, Kim Hartmann, Dietmar Rösner and Friedhelm Schwenker. Their work appears in journals such as Language Resources and Evaluation, Lecture notes in computer science, Frontiers in Communication, Sensors and Cognitive Computation.
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.