Kaylee Burns

4 papers and 160 indexed citations i.

About

Kaylee Burns is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Kaylee Burns has authored 4 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Kaylee Burns’s work include Multimodal Machine Learning Applications (2 papers), Robot Manipulation and Learning (2 papers) and Reinforcement Learning in Robotics (2 papers). Kaylee Burns is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Robot Manipulation and Learning (2 papers) and Reinforcement Learning in Robotics (2 papers). Kaylee Burns collaborates with scholars based in United States and United Kingdom. Kaylee Burns's co-authors include Lisa Anne Hendricks, Anna Rohrbach, Trevor Darrell, Kate Saenko, Erin Grant, Thomas L. Griffiths, Alison Gopnik, Aida Nematzadeh, Pete Florence and Ken Goldberg and has published in prestigious journals such as 2022 International Conference on Robotics and Automation (ICRA), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Co-authorship network of co-authors of Kaylee Burns i

Fields of papers citing papers by Kaylee Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaylee Burns

Since Specialization
Citations

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