David Suendermann‐Oeft
Impact in
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Natural Language Processing Techniques
- Topic Modeling
- Machine Learning in Healthcare
- Health Informatics top 10%
Papers in
-
- Speech and dialogue systems 24
- Speech Recognition and Synthesis 16
- Natural Language Processing Techniques 4
- Intelligent Tutoring Systems and Adaptive Learning 3
-
- Emotion and Mood Recognition 7
- Co-authors
- Vikram Ramanarayanan (33 shared papers)Keelan Evanini (20 shared papers)Patrick L. Lange (17 shared papers)Yao Qian (12 shared papers)Yu Zhou (6 shared papers)Erik Edwards (10 shared papers)Xinhao Wang (5 shared papers)Mark A. Miller (9 shared papers)
- Journals
- Scientific Reports (1 paper)Lecture notes in computer science (4 papers)ETS Research Report Series (4 papers)Lecture notes in electrical engineering (3 papers)IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
David Suendermann‐Oeft
55 papers receiving 530 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 381
- Health Informatics 19
- Issues, ethics and legal aspects 9
- Experimental and Cognitive Psychology 67
- Health Information Management 26
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 68 | |
| 2 | 2017 | 51 | |
| 3 | 2018 | 42 | |
| 4 | 2015 | 41 | |
| 5 | 2017 | 26 | |
| 6 | 2021 | 24 | |
| 7 | 2017 | 22 | |
| 8 | 2018 | 21 | |
| 9 | 2016 | 19 | |
| 10 | 2016 | 15 | |
| 11 | 2017 | 14 | |
| 12 | Tuning Sphinx to outperform Google’s speech recognition API | 2014 | 12 |
| 13 | 2019 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2018 | 10 |
About David Suendermann‐Oeft
David Suendermann‐Oeft is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Health Information Management, Computer Vision and Pattern Recognition and Issues, ethics and legal aspects, having authored 56 papers that have together received 590 indexed citations. Recurring topics across this work include Speech and dialogue systems (24 papers), Speech Recognition and Synthesis (16 papers), Emotion and Mood Recognition (7 papers), Natural Language Processing Techniques (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Handwritten Text Recognition Techniques (3 papers), Voice and Speech Disorders (3 papers) and Nursing Diagnosis and Documentation (2 papers). The work is most often cited by research in Artificial Intelligence (381 citations), Health Informatics (19 citations), Issues, ethics and legal aspects (9 citations), Experimental and Cognitive Psychology (67 citations) and Health Information Management (26 citations). David Suendermann‐Oeft has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Vikram Ramanarayanan, Keelan Evanini, Patrick L. Lange, Yao Qian, Yu Zhou, Erik Edwards, Xinhao Wang, Mark A. Miller, Wael Salloum and Chee Wee Leong. Their work appears in journals such as Scientific Reports, Lecture notes in computer science, ETS Research Report Series, Lecture notes in electrical engineering and IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).
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.