Kate Baumli
Impact in
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- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
Papers in
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- Reinforcement Learning in Robotics 2
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- Adaptive Dynamic Programming Control 1
- Co-authors
- Volodymyr Mnih (2 shared papers)David Warde-Farley (2 shared papers)Steven Hansen (2 shared papers)
- Journals
- Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Kate Baumli
2 papers receiving 7 citations
Peers
Comparison fields: 5 of 11
- Artificial Intelligence 6
- Computer Vision and Pattern Recognition 3
- Statistics, Probability and Uncertainty 1
- Control and Systems Engineering 3
- Automotive Engineering 1
Countries citing papers authored by Kate Baumli
This map shows the geographic impact of Kate Baumli'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 Kate Baumli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Baumli more than expected).
Fields of papers citing papers by Kate Baumli
This network shows the impact of papers produced by Kate Baumli. 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 Kate Baumli. The network helps show where Kate Baumli may publish in the future.
Co-authors
The 3 scholars most cited alongside Kate Baumli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 7 | |
| 2 | 2020 | 1 |
About Kate Baumli
Kate Baumli is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 8 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (2 papers), Smart Grid Energy Management (1 paper) and Adaptive Dynamic Programming Control (1 paper). The work is most often cited by research in Artificial Intelligence (6 citations), Computer Vision and Pattern Recognition (3 citations), Statistics, Probability and Uncertainty (1 citation), Control and Systems Engineering (3 citations) and Automotive Engineering (1 citation). Kate Baumli has collaborated with scholars based in United Kingdom. Frequent co-authors include Volodymyr Mnih, David Warde-Farley and Steven Hansen. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
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.