Yinlam Chow

29 papers and 358 indexed citations i.

About

Yinlam Chow is a scholar working on Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, Yinlam Chow has authored 29 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 7 papers in Control and Systems Engineering. Recurrent topics in Yinlam Chow’s work include Reinforcement Learning in Robotics (11 papers), Advanced Bandit Algorithms Research (5 papers) and Risk and Portfolio Optimization (5 papers). Yinlam Chow is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Advanced Bandit Algorithms Research (5 papers) and Risk and Portfolio Optimization (5 papers). Yinlam Chow collaborates with scholars based in United States, Germany and France. Yinlam Chow's co-authors include Mohammad Ghavamzadeh, Marco Pavone, Jiyan Yang, Junjie Qin, Ofir Nachum, Ram Rajagopal, Anirudha Majumdar, Sumeet Singh, Edgar A. Duéñez‐Guzmán and Shie Mannor and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.

In The Last Decade

Co-authorship network of co-authors of Yinlam Chow i

Fields of papers citing papers by Yinlam Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yinlam Chow

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025