Kaylee Burns
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Social Psychology
- Developmental and Educational Psychology
- Cognitive Neuroscience
- Co-authors
- Erin GrantAlison GopnikThomas L. GriffithsAida NematzadehKen GoldbergPete FlorenceDorsa SadighTony Z. Zhao
- Topics
- Multimodal Machine Learning Applications (2 papers)Robot Manipulation and Learning (2 papers)Domain Adaptation and Few-Shot Learning (2 papers)
- Journals
- 2022 International Conference on Robotics and Automation (ICRA)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Kaylee Burns
4 papers receiving 48 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 41
- Computer Vision and Pattern Recognition 15
- Social Psychology 10
- Developmental and Educational Psychology 9
- Cognitive Neuroscience 7
Countries citing papers authored by Kaylee Burns
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).
Fields of papers citing papers by Kaylee Burns
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.
Co-authorship network of co-authors of Kaylee Burns
This figure shows the co-authorship network connecting the top 25 collaborators of Kaylee Burns. A scholar is included among the top collaborators of Kaylee Burns based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaylee Burns. Kaylee Burns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 39 | |
| 6 | 5 |
About Kaylee Burns
Kaylee Burns is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 53 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (2 papers), Robot Manipulation and Learning (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Artificial Intelligence (41 citations), Health Informatics (1 citation) and Computer Vision and Pattern Recognition (15 citations). Kaylee Burns has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Erin Grant, Alison Gopnik, Thomas L. Griffiths, Aida Nematzadeh, Ken Goldberg, Pete Florence, Dorsa Sadigh, Tony Z. Zhao, Stefan Schaal and Emma Brunskill. Their work appears in journals such as 2022 International Conference on Robotics and Automation (ICRA).
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.