Samuel Bowman
- Artificial Intelligence top 0.2%
- Topic Modeling 13
- Natural Language Processing Techniques 10
- Sentiment Analysis and Opinion Mining 2
- Hate Speech and Cyberbullying Detection 2
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- Multimodal Machine Learning Applications 5
- Health Informatics top 5%
- Computational Mathematics top 10%
- General Social Sciences top 1%
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- CO2 Sequestration and Geologic Interactions 2
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- Nonlinear Waves and Solitons 2
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- Geophysical and Geoelectrical Methods 2
- Co-authors
- Amanpreet SinghFelix HillJulian MichaelOmer LevyAlex WangAlexis ConneauGuillaume LampleRuty Rinott
- Journals
- Aquatic Geochemistry (2 papers)International Journal of RF and Microwave Computer-Aided Engineering (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Samuel Bowman
24 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 2.9k
- Computer Vision and Pattern Recognition 860
- Health Informatics 47
- Computational Mathematics 9
- General Social Sciences 48
Countries citing papers authored by Samuel Bowman
This map shows the geographic impact of Samuel Bowman'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 Samuel Bowman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Bowman more than expected).
Fields of papers citing papers by Samuel Bowman
This network shows the impact of papers produced by Samuel Bowman. 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 Samuel Bowman. The network helps show where Samuel Bowman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Samuel Bowman, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 62 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 64 | |
| 10 | 2022 | 21 | |
| 11 | 2022 | 1 | |
| 12 | 2018 | 20 | |
| 13 | 2018 | 46 | |
| 14 | 2018 | 20 | |
| 15 | XNLI: Evaluating Cross-lingual Sentence Representationsbreakdown → | 2018 | 499 |
| 16 | 2018 | 17 | |
| 17 | 2017 | 20 | |
| 18 | A Gold Standard Dependency Corpus for English | 2014 | 109 |
| 19 | 2011 | 2 | |
| 20 | 1987 | 4 |
About Samuel Bowman
Samuel Bowman is a scholar working on Artificial Intelligence, Metals and Alloys, Computer Vision and Pattern Recognition, Geophysics and Environmental Engineering, having authored 27 papers that have together received 3.4k indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers), Multimodal Machine Learning Applications (5 papers), Sentiment Analysis and Opinion Mining (2 papers), CO2 Sequestration and Geologic Interactions (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Nonlinear Waves and Solitons (2 papers) and Geophysical and Geoelectrical Methods (2 papers). The work is most often cited by research in Artificial Intelligence (2.9k citations), Computer Vision and Pattern Recognition (860 citations), Health Informatics (47 citations), Computational Mathematics (9 citations) and General Social Sciences (48 citations). Samuel Bowman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Amanpreet Singh, Felix Hill, Julian Michael, Omer Levy, Alex Wang, Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams and Veselin Stoyanov. Their work appears in journals such as Aquatic Geochemistry, International Journal of RF and Microwave Computer-Aided Engineering, Nature Communications, Language Resources and Evaluation and Geothermics.
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.