Sam Thomson
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Speech and dialogue systems
- Semantic Web and Ontologies
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 16
- Topic Modeling 15
- Speech and dialogue systems 4
- Speech Recognition and Synthesis 2
- Machine Learning and Algorithms 2
- Text Readability and Simplification 1
- Advanced Graph Neural Networks 1
-
- Multimodal Machine Learning Applications 4
- Co-authors
- Noah A. Smith (9 shared papers)Jeffrey Flanigan (3 shared papers)Chris Dyer (4 shared papers)Jaime Carbonell (1 shared paper)Fei Liu (1 shared paper)Norman Sadeh (1 shared paper)Swabha Swayamdipta (3 shared papers)Emmanouil Antonios Platanios (6 shared papers)
- Journals
- Frontiers in Genetics (1 paper)Archives of Pathology & Laboratory Medicine (1 paper)Qualitative Inquiry (1 paper)Edinburgh Research Explorer (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Sam Thomson
19 papers receiving 640 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 647
- Computer Vision and Pattern Recognition 112
- Health Informatics 3
- Information Systems 52
- Computational Mathematics 1
Countries citing papers authored by Sam Thomson
This map shows the geographic impact of Sam Thomson'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 Sam Thomson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Thomson more than expected).
Fields of papers citing papers by Sam Thomson
This network shows the impact of papers produced by Sam Thomson. 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 Sam Thomson. The network helps show where Sam Thomson may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Thomson, 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 | 2014 | 202 | |
| 2 | 2015 | 168 | |
| 3 | 2021 | 95 | |
| 4 | 2018 | 44 | |
| 5 | 2018 | 42 | |
| 6 | 2015 | 37 | |
| 7 | 2000 | 33 | |
| 8 | 2021 | 25 | |
| 9 | 2018 | 13 | |
| 10 | 2018 | 10 | |
| 11 | 2021 | 9 | |
| 12 | Research and Development Report | 2015 | 9 |
| 13 | 2014 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2022 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2006 | 1 | |
| 20 | 2022 | 0 |
About Sam Thomson
Sam Thomson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Management, Monitoring, Policy and Law, having authored 20 papers that have together received 714 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers), Multimodal Machine Learning Applications (4 papers), Speech and dialogue systems (4 papers), Speech Recognition and Synthesis (2 papers), Machine Learning and Algorithms (2 papers), Text Readability and Simplification (1 paper) and Advanced Graph Neural Networks (1 paper). The work is most often cited by research in Artificial Intelligence (647 citations), Computer Vision and Pattern Recognition (112 citations), Health Informatics (3 citations), Information Systems (52 citations) and Computational Mathematics (1 citation). Sam Thomson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Noah A. Smith, Jeffrey Flanigan, Chris Dyer, Jaime Carbonell, Fei Liu, Norman Sadeh, Swabha Swayamdipta, Emmanouil Antonios Platanios, Adam Pauls and Hao Peng. Their work appears in journals such as Frontiers in Genetics, Archives of Pathology & Laboratory Medicine, Qualitative Inquiry, Edinburgh Research Explorer and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.