David Suendermann
Impact in
- Artificial Intelligence top 5%
- Speech and dialogue systems
- Topic Modeling
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Multi-Agent Systems and Negotiation
- AI in Service Interactions
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech and dialogue systems 23
- Multi-Agent Systems and Negotiation 11
- Natural Language Processing Techniques 10
- Topic Modeling 9
- Speech Recognition and Synthesis 7
- AI in Service Interactions 4
- Advanced Clustering Algorithms Research 3
- Bayesian Methods and Mixture Models 2
- Co-authors
- Roberto Pieraccini (16 shared papers)Jackson Liscombe (12 shared papers)Gabriel Parent (2 shared papers)Antonio Bonafonte (2 shared papers)Hermann Ney (2 shared papers)Keelan Evanini (4 shared papers)Gina‐Anne Levow (1 shared paper)Helen M. L. Meng (1 shared paper)
- Journals
- Lecture notes in computer science (2 papers)International Journal of Artificial Intelligence Tools (1 paper)North American Chapter of the Association for Computational Linguistics (1 paper)Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (1 paper)Medical Entomology and Zoology (1 paper)
- Partner nations
- GermanyUnited StatesPakistan
In The Last Decade
David Suendermann
28 papers receiving 306 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 302
- Signal Processing 89
- Computer Science Applications 19
- Linguistics and Language 12
- Experimental and Cognitive Psychology 27
Countries citing papers authored by David Suendermann
This map shows the geographic impact of David Suendermann'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 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 more than expected).
Fields of papers citing papers by David Suendermann
This network shows the impact of papers produced by David Suendermann. 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. The network helps show where David Suendermann may publish in the future.
Co-authors
The 16 scholars most cited alongside David Suendermann, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Crowdsourcing for Speech Processing: Applications to Data Collection, Transcription and Assessment | 2013 | 60 |
| 2 | 2013 | 38 | |
| 3 | 2006 | 32 | |
| 4 | 2009 | 31 | |
| 5 | 2004 | 30 | |
| 6 | 2009 | 29 | |
| 7 | 2008 | 22 | |
| 8 | 2011 | 13 | |
| 9 | 2010 | 12 | |
| 10 | 2010 | 11 | |
| 11 | 2009 | 8 | |
| 12 | 2009 | 8 | |
| 13 | 2009 | 8 | |
| 14 | 2007 | 8 | |
| 15 | How to drink from a fire hose: one person can annoscribe 693 thousand utterances in one month | 2010 | 7 |
| 16 | 2008 | 7 | |
| 17 | 2010 | 7 | |
| 18 | One Year of Contender: What Have We Learned about Assessing and Tuning Industrial Spoken Dialog Systems? | 2012 | 6 |
| 19 | 2010 | 6 | |
| 20 | 2010 | 4 |
About David Suendermann
David Suendermann is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Science Applications and Information Systems, having authored 31 papers that have together received 372 indexed citations. Recurring topics across this work include Speech and dialogue systems (23 papers), Multi-Agent Systems and Negotiation (11 papers), Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers), Speech Recognition and Synthesis (7 papers), AI in Service Interactions (4 papers), Advanced Clustering Algorithms Research (3 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Artificial Intelligence (302 citations), Signal Processing (89 citations), Computer Science Applications (19 citations), Linguistics and Language (12 citations) and Experimental and Cognitive Psychology (27 citations). David Suendermann has collaborated with scholars based in Germany, United States and Pakistan. Frequent co-authors include Roberto Pieraccini, Jackson Liscombe, Gabriel Parent, Antonio Bonafonte, Hermann Ney, Keelan Evanini, Gina‐Anne Levow, Helen M. L. Meng, Maxine Eskénazi and Harald Höge. Their work appears in journals such as Lecture notes in computer science, International Journal of Artificial Intelligence Tools, North American Chapter of the Association for Computational Linguistics, Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) and Medical Entomology and Zoology.
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.