Jake Snell

About

Jake Snell is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Jake Snell has authored 6 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Jake Snell’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Face recognition and analysis (1 paper) and Neural Networks and Applications (1 paper). Jake Snell is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Face recognition and analysis (1 paper) and Neural Networks and Applications (1 paper). Jake Snell collaborates with scholars based in Canada and United States. Jake Snell's co-authors include Richard S. Zemel, Renjie Liao, Brett D. Roads, Michael C. Mozer, Karl Ridgeway, Hugo Larochelle, Mengye Ren, Kevin Swersky, Sachin Ravi and Josh Tenenbaum and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Jake Snell i

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Fields of papers citing papers by Jake Snell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jake Snell

Since Specialization

Citations

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