David Suendermann‐Oeft
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech and dialogue systems 21
- Natural Language Processing Techniques 11
- Speech Recognition and Synthesis 11
- Topic Modeling 10
- AI in Service Interactions 6
-
- Speech and Audio Processing 8
- Music and Audio Processing 4
- Co-authors
- Vikram Ramanarayanan (28 shared papers)Keelan Evanini (19 shared papers)Yao Qian (10 shared papers)Patrick Lange (14 shared papers)Xinhao Wang (5 shared papers)Lei Chen (3 shared papers)Mark A. Miller (6 shared papers)Erik Edwards (6 shared papers)
- Journals
- ETS Research Report Series (4 papers)PubMed (1 paper)2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (1 paper)Interspeech 2022 (1 paper)National Conference on Artificial Intelligence (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David Suendermann‐Oeft
44 papers receiving 337 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 275
- Signal Processing 66
- Health Informatics 8
- Experimental and Cognitive Psychology 55
- Human-Computer Interaction 22
Countries citing papers authored by David Suendermann‐Oeft
This map shows the geographic impact of David Suendermann‐Oeft'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 David Suendermann‐Oeft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Suendermann‐Oeft more than expected).
Fields of papers citing papers by David Suendermann‐Oeft
This network shows the impact of papers produced by David Suendermann‐Oeft. 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 David Suendermann‐Oeft. The network helps show where David Suendermann‐Oeft may publish in the future.
Co-authors
The 25 scholars most cited alongside David Suendermann‐Oeft, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 64 | |
| 2 | 2017 | 41 | |
| 3 | 2018 | 34 | |
| 4 | 2015 | 26 | |
| 5 | 2017 | 17 | |
| 6 | 2016 | 15 | |
| 7 | 2017 | 13 | |
| 8 | Tuning Sphinx to outperform Google’s speech recognition API | 2014 | 11 |
| 9 | 2015 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2015 | 8 | |
| 12 | 2015 | 8 | |
| 13 | 2018 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2016 | 7 | |
| 19 | 2016 | 7 | |
| 20 | Crowdsourced Continuous Improvement of Medical Speech Recognition. | 2017 | 6 |
About David Suendermann‐Oeft
David Suendermann‐Oeft is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Social Psychology and Molecular Biology, having authored 44 papers that have together received 380 indexed citations. Recurring topics across this work include Speech and dialogue systems (21 papers), Natural Language Processing Techniques (11 papers), Speech Recognition and Synthesis (11 papers), Topic Modeling (10 papers), Speech and Audio Processing (8 papers), AI in Service Interactions (6 papers), Emotion and Mood Recognition (4 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Artificial Intelligence (275 citations), Signal Processing (66 citations), Health Informatics (8 citations), Experimental and Cognitive Psychology (55 citations) and Human-Computer Interaction (22 citations). David Suendermann‐Oeft has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Vikram Ramanarayanan, Keelan Evanini, Yao Qian, Patrick Lange, Xinhao Wang, Lei Chen, Mark A. Miller, Erik Edwards, Klaus Zechner and Jidong Tao. Their work appears in journals such as ETS Research Report Series, PubMed, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Interspeech 2022 and National Conference on Artificial Intelligence.
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.