David Uthus
- Artificial Intelligence top 10%
- Natural Language Processing Techniques 6
- Topic Modeling 5
- Speech and dialogue systems 2
- Speech Recognition and Synthesis 2
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- Spam and Phishing Detection 1
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- Scheduling and Timetabling Solutions 2
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- Misinformation and Its Impacts 2
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- Digital Communication and Language 2
- Co-authors
- David W. AhaMandy GuoJoshua AinslieSantiago OntañónYun-Hsuan SungJianmo NiYinfei YangPatricia Riddle
- Journals
- Artificial Intelligence (1 paper)Journal of Scheduling (1 paper)The Florida AI Research Society (1 paper)
- Partner nations
- United StatesNew Zealand
In The Last Decade
David Uthus
12 papers receiving 235 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 191
- Health Informatics 6
- Information Systems 43
- Management Science and Operations Research 20
- General Social Sciences 5
Countries citing papers authored by David Uthus
This map shows the geographic impact of David Uthus'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 Uthus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Uthus more than expected).
Fields of papers citing papers by David Uthus
This network shows the impact of papers produced by David Uthus. 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 Uthus. The network helps show where David Uthus may publish in the future.
Co-authorship network
The 22 scholars most cited alongside David Uthus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 18 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 113 | |
| 6 | 2021 | 23 | |
| 7 | Extending Word Highlighting in Multiparticipant Chat | 2013 | 1 |
| 8 | Analyzing microtext : papers from the AAAI Spring Symposium | 2013 | 0 |
| 9 | The Ubuntu Chat Corpus for Multiparticipant Chat Analysis | 2013 | 17 |
| 10 | 2013 | 43 | |
| 11 | Plans Toward Automated Chat Summarization | 2011 | 9 |
| 12 | 2011 | 10 | |
| 13 | 2009 | 8 |
About David Uthus
David Uthus is a scholar working on Human-Computer Interaction, Artificial Intelligence, Management Science and Operations Research, Information Systems and Management and Industrial and Manufacturing Engineering, having authored 13 papers that have together received 251 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers), Speech and dialogue systems (2 papers), Misinformation and Its Impacts (2 papers), Scheduling and Timetabling Solutions (2 papers), Speech Recognition and Synthesis (2 papers), Digital Communication and Language (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Artificial Intelligence (191 citations), Health Informatics (6 citations), Information Systems (43 citations), Management Science and Operations Research (20 citations) and General Social Sciences (5 citations). David Uthus has collaborated with scholars based in United States and New Zealand. Frequent co-authors include David W. Aha, Mandy Guo, Joshua Ainslie, Santiago Ontañón, Yun-Hsuan Sung, Jianmo Ni, Yinfei Yang, Patricia Riddle, Hans W. Guesgen and Girish Kumar. Their work appears in journals such as Artificial Intelligence, Journal of Scheduling, The Florida AI Research Society 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.