David Uthus
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech and dialogue systems
Papers in
-
- Natural Language Processing Techniques 6
- Topic Modeling 5
- Speech Recognition and Synthesis 2
- Speech and dialogue systems 2
-
- Scheduling and Timetabling Solutions 4
- Co-authors
- David W. Aha (4 shared papers)Mandy Guo (4 shared papers)Joshua Ainslie (3 shared papers)Santiago Ontañón (3 shared papers)Yun-Hsuan Sung (2 shared papers)Yinfei Yang (1 shared paper)Jianmo Ni (1 shared paper)Patricia Riddle (4 shared papers)
- Journals
- Artificial Intelligence (1 paper)Journal of Scheduling (1 paper)Lecture notes in computer science (2 papers)The Florida AI Research Society (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesNew Zealand
In The Last Decade
David Uthus
15 papers receiving 294 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 224
- Health Informatics 6
- Management Science and Operations Research 44
- Industrial and Manufacturing Engineering 30
- Information Systems 46
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-authors
The 23 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 | 2022 | 133 | |
| 2 | 2013 | 50 | |
| 3 | 2021 | 27 | |
| 4 | The Ubuntu Chat Corpus for Multiparticipant Chat Analysis | 2013 | 19 |
| 5 | 2023 | 19 | |
| 6 | 2009 | 18 | |
| 7 | 2009 | 12 | |
| 8 | 2011 | 11 | |
| 9 | Plans Toward Automated Chat Summarization | 2011 | 10 |
| 10 | 2023 | 6 | |
| 11 | 2008 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | Extending Word Highlighting in Multiparticipant Chat | 2013 | 1 |
| 15 | Analyzing microtext : papers from the AAAI Spring Symposium | 2013 | 1 |
About David Uthus
David Uthus is a scholar working on Artificial Intelligence, Management Science and Operations Research, Human-Computer Interaction, Sociology and Political Science and Information Systems, having authored 15 papers that have together received 314 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers), Scheduling and Timetabling Solutions (4 papers), Misinformation and Its Impacts (2 papers), Digital Communication and Language (2 papers), Speech Recognition and Synthesis (2 papers), Speech and dialogue systems (2 papers) and Sports Analytics and Performance (2 papers). The work is most often cited by research in Artificial Intelligence (224 citations), Health Informatics (6 citations), Management Science and Operations Research (44 citations), Industrial and Manufacturing Engineering (30 citations) and Information Systems (46 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, Yinfei Yang, Jianmo Ni, Patricia Riddle, Hans W. Guesgen and Zarana Parekh. Their work appears in journals such as Artificial Intelligence, Journal of Scheduling, Lecture notes in computer science, 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.