Samuel R. Bowman

About

Samuel R. Bowman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Samuel R. Bowman has authored 43 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Science Applications. Recurrent topics in Samuel R. Bowman’s work include Topic Modeling (41 papers), Natural Language Processing Techniques (38 papers) and Text Readability and Simplification (9 papers). Samuel R. Bowman is often cited by papers focused on Topic Modeling (41 papers), Natural Language Processing Techniques (38 papers) and Text Readability and Simplification (9 papers). Samuel R. Bowman collaborates with scholars based in United States, Germany and Israel. Samuel R. Bowman's co-authors include Christopher Potts, Christopher D. Manning, Gabor Angeli, Amanpreet Singh, Alex Warstadt, Samy Bengio, Oriol Vinyals, Rafał Józefowicz, Andrew M. Dai and Luke Vilnis and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Samuel R. Bowman i

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Fields of papers citing papers by Samuel R. Bowman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel R. 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 R. Bowman. The network helps show where Samuel R. Bowman may publish in the future.

Countries citing papers authored by Samuel R. Bowman

Since Specialization

Citations

This map shows the geographic impact of Samuel R. 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 R. 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 R. Bowman 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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