Corey Lynch

About

Corey Lynch is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Corey Lynch has authored 8 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Control and Systems Engineering. Recurrent topics in Corey Lynch’s work include Robot Manipulation and Learning (4 papers), Multimodal Machine Learning Applications (4 papers) and Human Pose and Action Recognition (3 papers). Corey Lynch is often cited by papers focused on Robot Manipulation and Learning (4 papers), Multimodal Machine Learning Applications (4 papers) and Human Pose and Action Recognition (3 papers). Corey Lynch collaborates with scholars based in United States and Canada. Corey Lynch's co-authors include Pierre Sermanet, Sergey Levine, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Jonathan Tompson, Debidatta Dwibedi, Yoshua Bengio and Pete Florence and has published in prestigious journals such as IEEE Robotics and Automation Letters, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Corey Lynch i

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Fields of papers citing papers by Corey Lynch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Corey Lynch

Since Specialization

Citations

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