David Suendermann‐Oeft

732 citations
53 papers · 521 · h-index 12

Impact in

    • Speech and dialogue systems
    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech Recognition and Synthesis
    • AI in Service Interactions
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

    • Speech and dialogue systems 27
    • Speech Recognition and Synthesis 16
    • Natural Language Processing Techniques 15
    • Topic Modeling 13
    • AI in Service Interactions 8
    • Multi-Agent Systems and Negotiation 5
    • Speech and Audio Processing 9
    • Music and Audio Processing 5
Journals
Lecture notes in computer science (4 papers)ETS Research Report Series (4 papers)Lecture notes in electrical engineering (3 papers)Conference of the International Speech Communication Association (4 papers)2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (1 paper)

In The Last Decade

David Suendermann‐Oeft

53 papers receiving 462 citations

Peers

David Suendermann‐Oeft
Comparison fields: 5 of 70
  • Artificial Intelligence 380
  • Signal Processing 79
  • Health Informatics 9
  • Experimental and Cognitive Psychology 65
  • Human-Computer Interaction 27
Replace Katrin Tomanek with:
Katrin Tomanek Germany
Najmeh Sadoughi United States
Carmén García Mateo Spain
Jangwon Kim United States
Jekaterina Novikova United Kingdom
Tasha Nagamine United States
Aitzol Ezeiza Spain
Sheri Hunnicutt Sweden
Oliver Jokisch Germany
Simone Hantke Germany
David Suendermann‐Oeft relative to Katrin Tomanek Germany Katrin Tomanek's profile →
Citations per field
00.5×3.2×
Katrin Tomanek · 1×
Citations per year

Countries citing papers authored by David Suendermann‐Oeft

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Suendermann‐Oeft Line = papers co-authored together David Suendermann‐Oeft links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201568
2 201743
3 201838
4 201536
5 201725
6 201720
7 201819
8 201618
9 201615
10 201714
11
Tuning Sphinx to outperform Google’s speech recognition API
201412
12 201511
13 201711
14 201711
15 201510
16 201810
17 201610
18 201910
19 20169
20
Crowdsourced Continuous Improvement of Medical Speech Recognition.
20178

About David Suendermann‐Oeft

David Suendermann‐Oeft is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Social Psychology and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 521 indexed citations. Recurring topics across this work include Speech and dialogue systems (27 papers), Speech Recognition and Synthesis (16 papers), Natural Language Processing Techniques (15 papers), Topic Modeling (13 papers), Speech and Audio Processing (9 papers), AI in Service Interactions (8 papers), Music and Audio Processing (5 papers) and Multi-Agent Systems and Negotiation (5 papers). The work is most often cited by research in Artificial Intelligence (380 citations), Signal Processing (79 citations), Health Informatics (9 citations), Experimental and Cognitive Psychology (65 citations) and Human-Computer Interaction (27 citations). David Suendermann‐Oeft has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Vikram Ramanarayanan, Patrick Lange, Keelan Evanini, Yao Qian, Erik Edwards, Yu Zhou, Lei Chen, Xinhao Wang, Mark A. Miller and А. В. Иванов. Their work appears in journals such as Lecture notes in computer science, ETS Research Report Series, Lecture notes in electrical engineering, Conference of the International Speech Communication Association and 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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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