David Uthus
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Authorship Attribution and Profiling
- Metaheuristic Optimization Algorithms Research
- Sentiment Analysis and Opinion Mining
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- Scheduling and Timetabling Solutions
Papers in
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- Natural Language Processing Techniques 9
- Topic Modeling 7
- Sentiment Analysis and Opinion Mining 2
- Metaheuristic Optimization Algorithms Research 2
- Speech and dialogue systems 2
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- Scheduling and Timetabling Solutions 3
- Co-authors
- David W. Aha (5 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
- Journal of Scheduling (1 paper)Artificial Intelligence (1 paper)Lecture notes in computer science (2 papers)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (1 paper)The Florida AI Research Society (1 paper)
- Partner nations
- United StatesNew Zealand
In The Last Decade
David Uthus
17 papers receiving 328 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 257
- Management Science and Operations Research 38
- Health Informatics 4
- Information Systems 39
- Computer Science Applications 7
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 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 | 2022 | 148 | |
| 2 | 2013 | 53 | |
| 3 | 2021 | 28 | |
| 4 | The Ubuntu Chat Corpus for Multiparticipant Chat Analysis | 2013 | 21 |
| 5 | 2023 | 21 | |
| 6 | 2009 | 16 | |
| 7 | 2009 | 11 | |
| 8 | 2011 | 11 | |
| 9 | Plans Toward Automated Chat Summarization | 2011 | 9 |
| 10 | 2023 | 7 | |
| 11 | Extending Word Highlighting in Multiparticipant Chat | 2013 | 5 |
| 12 | 2024 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2008 | 3 | |
| 15 | 2024 | 2 | |
| 16 | Analyzing microtext : papers from the AAAI Spring Symposium | 2013 | 1 |
| 17 | Detecting Bot-Answerable Questions in Ubuntu Chat | 2013 | 1 |
About David Uthus
David Uthus is a scholar working on Artificial Intelligence, Management Science and Operations Research, Human-Computer Interaction, Information Systems and General Social Sciences, having authored 17 papers that have together received 346 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers), Scheduling and Timetabling Solutions (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Constraint Satisfaction and Optimization (2 papers), Information Retrieval and Search Behavior (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (257 citations), Management Science and Operations Research (38 citations), Health Informatics (4 citations), Information Systems (39 citations) and Computer Science Applications (7 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 Noah Constant. Their work appears in journals such as Journal of Scheduling, Artificial Intelligence, Lecture notes in computer science, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) and The Florida AI Research Society.
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.