Jon Gauthier

8 papers and 210 indexed citations i.

About

Jon Gauthier is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jon Gauthier has authored 8 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jon Gauthier’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Neurobiology of Language and Bilingualism (2 papers). Jon Gauthier is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Neurobiology of Language and Bilingualism (2 papers). Jon Gauthier collaborates with scholars based in United States. Jon Gauthier's co-authors include Christopher D. Manning, Raghav Gupta, Christopher Potts, Samuel R. Bowman, Abhinav Rastogi, Roger Lévy, Li Lucy, Anna A. Ivanova, Koustuv Sinha and Aaron Mueller and has published in prestigious journals such as Cognitive Science, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Jon Gauthier i

Fields of papers citing papers by Jon Gauthier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Gauthier. 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 Jon Gauthier. The network helps show where Jon Gauthier may publish in the future.

Countries citing papers authored by Jon Gauthier

Since Specialization
Citations

This map shows the geographic impact of Jon Gauthier'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 Jon Gauthier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Gauthier 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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2025