Ted Xiao

About

Ted Xiao is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ted Xiao has authored 4 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Ted Xiao’s work include Reinforcement Learning in Robotics (2 papers), Adaptive Dynamic Programming Control (1 paper) and Multimodal Machine Learning Applications (1 paper). Ted Xiao is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Adaptive Dynamic Programming Control (1 paper) and Multimodal Machine Learning Applications (1 paper). Ted Xiao collaborates with scholars based in United States and Australia. Ted Xiao's co-authors include Sergey Levine, Roberto Calandra, Claire J. Tomlin, Somil Bansal, Karol Hausman, Ryan Julian, Yao Lu, Chelsea Finn, Pierre Sermanet and Jonathan Tompson and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Ted Xiao i

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Fields of papers citing papers by Ted Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ted Xiao

Since Specialization

Citations

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