Daniel Hewlett
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Text Readability and Simplification
- Text and Document Classification Technologies
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 11
- Topic Modeling 10
- Speech and dialogue systems 6
- Algorithms and Data Compression 2
- AI-based Problem Solving and Planning 1
- Reinforcement Learning in Robotics 1
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- Multimodal Machine Learning Applications 7
- Co-authors
- Alexandre Lacoste (3 shared papers)Illia Polosukhin (2 shared papers)Paul R. Cohen (9 shared papers)Jakob Uszkoreit (1 shared paper)Eunsol Choi (1 shared paper)Llion Jones (3 shared papers)Jonathan Berant (1 shared paper)David Berthelot (1 shared paper)
- Journals
- Meeting of the Association for Computational Linguistics (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (1 paper)Neural Information Processing Systems (1 paper)International Joint Conference on Artificial Intelligence (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesNetherlandsIsrael
In The Last Decade
Daniel Hewlett
15 papers receiving 192 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 195
- Computer Vision and Pattern Recognition 70
- Information Systems 27
- Signal Processing 10
- Computer Science Applications 4
Countries citing papers authored by Daniel Hewlett
This map shows the geographic impact of Daniel Hewlett'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 Daniel Hewlett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hewlett more than expected).
Fields of papers citing papers by Daniel Hewlett
This network shows the impact of papers produced by Daniel Hewlett. 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 Daniel Hewlett. The network helps show where Daniel Hewlett may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel Hewlett, 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 | 2017 | 80 | |
| 2 | 2016 | 50 | |
| 3 | Cautiously Approaching SWRL | 2005 | 16 |
| 4 | 2017 | 13 | |
| 5 | 2018 | 10 | |
| 6 | Bootstrap voting experts | 2009 | 10 |
| 7 | Wubble World | 2007 | 6 |
| 8 | Fully Unsupervised Word Segmentation with BVE and MDL | 2011 | 6 |
| 9 | 2007 | 5 | |
| 10 | Blending Autonomous Exploration and Apprenticeship Learning | 2011 | 4 |
| 11 | 2011 | 4 | |
| 12 | Word Segmentation as General Chunking | 2011 | 4 |
| 13 | A framework for recognizing and executing verb phrases | 2011 | 2 |
| 14 | 2010 | 2 | |
| 15 | 2007 | 1 | |
| 16 | 2025 | 0 |
About Daniel Hewlett
Daniel Hewlett is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Information Systems and Experimental and Cognitive Psychology, having authored 16 papers that have together received 213 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers), Multimodal Machine Learning Applications (7 papers), Speech and dialogue systems (6 papers), Algorithms and Data Compression (2 papers), AI-based Problem Solving and Planning (1 paper), Reinforcement Learning in Robotics (1 paper) and Phonetics and Phonology Research (1 paper). The work is most often cited by research in Artificial Intelligence (195 citations), Computer Vision and Pattern Recognition (70 citations), Information Systems (27 citations), Signal Processing (10 citations) and Computer Science Applications (4 citations). Daniel Hewlett has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Alexandre Lacoste, Illia Polosukhin, Paul R. Cohen, Jakob Uszkoreit, Eunsol Choi, Llion Jones, Jonathan Berant, David Berthelot, Matthew Kelcey and Jay J. Han. Their work appears in journals such as Meeting of the Association for Computational Linguistics, Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Neural Information Processing Systems, International Joint Conference on Artificial Intelligence and Proceedings of the AAAI 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.