Daoud Clarke
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Imbalanced Data Classification Techniques
- Information Systems top 10%
- Recommender Systems and Techniques
Papers in
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- Topic Modeling 7
- Natural Language Processing Techniques 5
- Sentiment Analysis and Opinion Mining 2
- Advanced Text Analysis Techniques 2
- Logic, Reasoning, and Knowledge 2
- Semantic Web and Ontologies 2
- Text and Document Classification Technologies 2
-
- Recommender Systems and Techniques 2
- Co-authors
- Peter C. R. Lane (2 shared papers)David Weir (2 shared papers)Bill Keller (2 shared papers)Jeremy Reffin (2 shared papers)Julie Weeds (1 shared paper)Gabriella Kazai (2 shared papers)Robert E. Wall (1 shared paper)Rüdi Lutz (1 shared paper)
- Journals
- Decision Support Systems (1 paper)Computational Linguistics (1 paper)KI - Künstliche Intelligenz (1 paper)ePrints Soton (University of Southampton) (1 paper)Figshare (2 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
Daoud Clarke
11 papers receiving 260 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 241
- Information Systems 47
- Computational Mathematics 1
- Computer Vision and Pattern Recognition 27
- Human-Computer Interaction 6
Countries citing papers authored by Daoud Clarke
This map shows the geographic impact of Daoud Clarke'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 Daoud Clarke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoud Clarke more than expected).
Fields of papers citing papers by Daoud Clarke
This network shows the impact of papers produced by Daoud Clarke. 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 Daoud Clarke. The network helps show where Daoud Clarke may publish in the future.
Co-authors
The 10 scholars most cited alongside Daoud Clarke, 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 | Learning to Distinguish Hypernyms and Co-Hyponyms | 2014 | 83 |
| 2 | 2012 | 60 | |
| 3 | 2009 | 41 | |
| 4 | 2016 | 39 | |
| 5 | 2011 | 36 | |
| 6 | 1965 | 8 | |
| 7 | Developing Robust Models for Favourability Analysis | 2011 | 7 |
| 8 | Efficiency in Ambiguity: Two Models of Probabilistic Semantics for Natural Language | 2015 | 3 |
| 9 | Semantic Composition with Quotient Algebras | 2010 | 3 |
| 10 | 2015 | 2 | |
| 11 | 2013 | 1 |
About Daoud Clarke
Daoud Clarke is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 283 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers), Sentiment Analysis and Opinion Mining (2 papers), Advanced Text Analysis Techniques (2 papers), Logic, Reasoning, and Knowledge (2 papers), Recommender Systems and Techniques (2 papers), Semantic Web and Ontologies (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Artificial Intelligence (241 citations), Information Systems (47 citations), Computational Mathematics (1 citation), Computer Vision and Pattern Recognition (27 citations) and Human-Computer Interaction (6 citations). Daoud Clarke has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Peter C. R. Lane, David Weir, Bill Keller, Jeremy Reffin, Julie Weeds, Gabriella Kazai, Robert E. Wall, Rüdi Lutz, Matteo Venanzi and David R. Weir. Their work appears in journals such as Decision Support Systems, Computational Linguistics, KI - Künstliche Intelligenz, ePrints Soton (University of Southampton) and Figshare.
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.