Jon Shlens

About

Jon Shlens is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Jon Shlens has authored 4 papers receiving a total of 16.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Materials Chemistry. Recurrent topics in Jon Shlens’s work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Jon Shlens is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Jon Shlens collaborates with scholars based in United States, United Kingdom and Germany. Jon Shlens's co-authors include Vincent Vanhoucke, Christian Szegedy, Sergey Ioffe, Zbigniew Wojna, Samy Bengio, Tomáš Mikolov, Marc’Aurelio Ranzato, Jeff Dean, Andrea Frome and Greg S. Corrado and has published in prestigious journals such as UCL Discovery (University College London), International Conference on Machine Learning and Neural Information Processing Systems.

In The Last Decade

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

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Fields of papers citing papers by Jon Shlens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jon Shlens

Since Specialization

Citations

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