Sam Thomson
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Semantic Web and Ontologies
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 16
- Topic Modeling 15
- Speech and dialogue systems 4
- Machine Learning and Algorithms 2
- Speech Recognition and Synthesis 2
- Advanced Text Analysis Techniques 1
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- 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)Adam Pauls (5 shared papers)
- Journals
- Qualitative Inquiry (1 paper)Frontiers in Genetics (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)Edinburgh Research Explorer (1 paper)Figshare (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Sam Thomson
18 papers receiving 558 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 592
- Computer Vision and Pattern Recognition 102
- Health Informatics 3
- Information Systems 45
- 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 | 186 | |
| 2 | 2015 | 148 | |
| 3 | 2021 | 87 | |
| 4 | 2018 | 40 | |
| 5 | 2018 | 39 | |
| 6 | 2015 | 35 | |
| 7 | 2021 | 24 | |
| 8 | 2018 | 12 | |
| 9 | 2018 | 9 | |
| 10 | 2014 | 8 | |
| 11 | 2021 | 8 | |
| 12 | Research and Development Report | 2015 | 8 |
| 13 | 2018 | 7 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2006 | 1 | |
| 19 | 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 19 papers that have together received 621 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), Machine Learning and Algorithms (2 papers), Speech Recognition and Synthesis (2 papers), Advanced Text Analysis Techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Artificial Intelligence (592 citations), Computer Vision and Pattern Recognition (102 citations), Health Informatics (3 citations), Information Systems (45 citations) and Computational Mathematics (1 citation). Sam Thomson has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Noah A. Smith, Jeffrey Flanigan, Chris Dyer, Jaime Carbonell, Fei Liu, Norman Sadeh, Swabha Swayamdipta, Adam Pauls, Emmanouil Antonios Platanios and Hao Peng. Their work appears in journals such as Qualitative Inquiry, Frontiers in Genetics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Edinburgh Research Explorer 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.