Sam Thomson

17 papers and 1.0k indexed citations i.

About

Sam Thomson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sam Thomson has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Sam Thomson’s work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Multimodal Machine Learning Applications (5 papers). Sam Thomson is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Multimodal Machine Learning Applications (5 papers). Sam Thomson collaborates with scholars based in United States, United Kingdom and Australia. Sam Thomson's co-authors include Mark Yatskar, Rowan Zellers, Yejin Choi, Noah A. Smith, Jeffrey Flanigan, Chris Dyer, Jaime Carbonell, Fei Liu, Norman Sadeh and Swabha Swayamdipta and has published in prestigious journals such as Frontiers in Genetics, Qualitative Inquiry and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Co-authorship network of co-authors of Sam Thomson i

Fields of papers citing papers by Sam Thomson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Sam Thomson

Since Specialization
Citations

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).

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.

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