David Suendermann‐Oeft

719 citations
44 papers · 380 indexed · h-index 10
Topics
Speech and dialogue systems (21 papers)Speech Recognition and Synthesis (11 papers)Natural Language Processing Techniques (11 papers)
Journals
ETS Research Report SeriesPubMedNational Conference on Artificial Intelligence

In The Last Decade

David Suendermann‐Oeft

44 papers receiving 337 citations

Peers

David Suendermann‐Oeft
Comparison fields: 5 of 64
  • Artificial Intelligence 275
  • Signal Processing 66
  • Experimental and Cognitive Psychology 55
  • Social Psychology 28
  • Cognitive Neuroscience 28
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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-authorship network of co-authors of David Suendermann‐Oeft

This figure shows the co-authorship network connecting the top 25 collaborators of David Suendermann‐Oeft. A scholar is included among the top collaborators of David Suendermann‐Oeft 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‐Oeft. David Suendermann‐Oeft 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
#WorkIndexed citations
1 1
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Toward Remote Patient Monitoring of Speech, Video, Cognitive and Respiratory Biomarkers Using Multimodal Dialog Technology.
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4 2
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Game-based Spoken Dialog Language Learning Applications for Young Students.
1
6
An Automated Assistant for Medical Scribes.
5
7
Toward Scalable Dialog Technology for Conversational Language Learning: Case Study of the TOEFL® MOOC.
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8 1
9 34
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Crowdsourced Continuous Improvement of Medical Speech Recognition.
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11
Crowdsourcing Multimodal Dialog Interactions: Lessons Learned from the HALEF Case.
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12 17
13 41
14 3
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Bootstrapping Development of a Cloud-Based Spoken Dialog System in the Educational Domain from Scratch Using Crowdsourced Data. Research Report. ETS RR-16-16.
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16 7
17 64
18 9
19 4
20 8

About David Suendermann‐Oeft

David Suendermann‐Oeft is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, having authored 44 papers that have together received 380 indexed citations. Recurring topics across this work include Speech and dialogue systems (21 papers), Speech Recognition and Synthesis (11 papers) and Natural Language Processing Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (275 citations), Signal Processing (66 citations) and Health Informatics (8 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 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.

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