David Suendermann

454 total citations
22 papers, 203 citations indexed

About

David Suendermann is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, David Suendermann has authored 22 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Information Systems. Recurrent topics in David Suendermann's work include Speech and dialogue systems (15 papers), Natural Language Processing Techniques (8 papers) and Multi-Agent Systems and Negotiation (7 papers). David Suendermann is often cited by papers focused on Speech and dialogue systems (15 papers), Natural Language Processing Techniques (8 papers) and Multi-Agent Systems and Negotiation (7 papers). David Suendermann collaborates with scholars based in Germany, Pakistan and United States. David Suendermann's co-authors include Antonio Bonafonte, Hermann Ney, Roberto Pieraccini, Jackson Liscombe, Gina‐Anne Levow, Maxine Eskénazi, Helen Meng, Keelan Evanini, Wolfgang Minker and Michael Scholz and has published in prestigious journals such as International Journal of Artificial Intelligence Tools, North American Chapter of the Association for Computational Linguistics and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).

In The Last Decade

David Suendermann

20 papers receiving 166 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Suendermann Germany 8 166 63 22 18 12 22 203
Ondřej Klejch United Kingdom 9 174 1.0× 77 1.2× 19 0.9× 15 0.8× 16 1.3× 23 210
I. Lee Hetherington United States 11 305 1.8× 113 1.8× 27 1.2× 26 1.4× 9 0.8× 18 327
Tanel Alumäe Estonia 11 427 2.6× 118 1.9× 46 2.1× 19 1.1× 10 0.8× 49 484
A Prathik India 5 73 0.4× 43 0.7× 21 1.0× 26 1.4× 28 2.3× 7 172
Christophe Laprun United States 6 147 0.9× 52 0.8× 29 1.3× 16 0.9× 17 1.4× 7 195
Christian Raymond France 9 419 2.5× 75 1.2× 52 2.4× 9 0.5× 15 1.3× 40 470
B. Thomson United Kingdom 12 323 1.9× 19 0.3× 27 1.2× 8 0.4× 8 0.7× 18 332
Tsuneo Nitta Japan 8 211 1.3× 108 1.7× 29 1.3× 40 2.2× 18 1.5× 71 265
Amirsina Torfi United States 4 98 0.6× 50 0.8× 57 2.6× 9 0.5× 10 0.8× 8 169
Matt Sharifi United States 4 179 1.1× 154 2.4× 83 3.8× 12 0.7× 9 0.8× 4 298

Countries citing papers authored by David Suendermann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Suendermann

This figure shows the co-authorship network connecting the top 25 collaborators of David Suendermann. A scholar is included among the top collaborators of David Suendermann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Suendermann. David Suendermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eskénazi, Maxine, et al.. (2013). Crowdsourcing for Speech Processing: Applications to Data Collection, Transcription and Assessment. Medical Entomology and Zoology. 51 indexed citations
2.
Suendermann, David & Roberto Pieraccini. (2012). One Year of Contender: What Have We Learned about Assessing and Tuning Industrial Spoken Dialog Systems?. North American Chapter of the Association for Computational Linguistics. 45–48. 3 indexed citations
3.
Suendermann, David, et al.. (2012). Towards a Distributed Open-Source Spoken Dialog System Following Industry Standards. 1–4. 1 indexed citations
4.
Suendermann, David. (2011). Advances in Commercial Deployment of Spoken Dialog Systems. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 10 indexed citations
5.
Suendermann, David, et al.. (2011). ON CLUSTER VALIDATION FOR DETECTING THE NUMBER OF CLUSTERS IN A DATA SET. International Journal of Artificial Intelligence Tools. 20(5). 941–953. 3 indexed citations
6.
7.
Suendermann, David, et al.. (2011). Large-scale experiments on data-driven design of commercial spoken dialog systems. 813–816. 2 indexed citations
8.
Suendermann, David, Jackson Liscombe, & Roberto Pieraccini. (2010). How to drink from a fire hose: one person can annoscribe 693 thousand utterances in one month. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 257–260. 3 indexed citations
9.
Suendermann, David, Jackson Liscombe, & Roberto Pieraccini. (2010). Optimize the obvious: Automatic call flow generation. 5370–5373. 2 indexed citations
10.
Schmitt, Alexander, Michael Scholz, Wolfgang Minker, Jackson Liscombe, & David Suendermann. (2010). Is it possible to predict task completion in automated troubleshooters?. 94–97. 11 indexed citations
11.
Suendermann, David, et al.. (2010). A semi-supervised cluster-and-label approach for utterance classification. 2510–2513. 3 indexed citations
12.
Suendermann, David, Jackson Liscombe, & Roberto Pieraccini. (2010). Minimally invasive surgery for spoken dialog systems. 98–101. 2 indexed citations
13.
Suendermann, David, et al.. (2010). ON AMBIGUITY DETECTION AND POSTPROCESSING SCHEMES USING CLUSTER ENSEMBLES. 623–630. 2 indexed citations
14.
Suendermann, David, et al.. (2009). From rule-based to statistical grammars: Continuous improvement of large-scale spoken dialog systems. 29. 4713–4716. 19 indexed citations
15.
Suendermann, David, et al.. (2009). A handsome set of metrics to measure utterance classification performance in spoken dialog systems. 349–356. 4 indexed citations
16.
Suendermann, David, et al.. (2009). A Combination Approach to Cluster Validation Based on Statistical Quantiles. 549–555. 7 indexed citations
17.
Evanini, Keelan, et al.. (2008). Caller Experience: A method for evaluating dialog systems and its automatic prediction. 129–132. 16 indexed citations
18.
Evanini, Keelan, David Suendermann, & Roberto Pieraccini. (2007). Call classification for automated troubleshooting on large corpora. 22. 207–212. 3 indexed citations
19.
Suendermann, David, et al.. (2006). A Study on Residual Prediction Techniques for Voice Conversion. 1. 13–16. 28 indexed citations
20.
Ney, Hermann, et al.. (2004). A first step towards text-independent voice conversion. 1173–1176. 26 indexed citations

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.

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