Bryant Chen

12 papers and 75 indexed citations i.

About

Bryant Chen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Bryant Chen has authored 12 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Statistics and Probability. Recurrent topics in Bryant Chen’s work include Bayesian Modeling and Causal Inference (7 papers), Adversarial Robustness in Machine Learning (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Bryant Chen is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Adversarial Robustness in Machine Learning (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Bryant Chen collaborates with scholars based in United States. Bryant Chen's co-authors include Judea Pearl, Jin Tian, Carlos Cinelli, Elias Bareinboim, Daniel Kumor, Tae‐Sung Lee, Ian Molloy, Ben Edwards, Suchi Saria and Adarsh Subbaswamy and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Bryant Chen i

Fields of papers citing papers by Bryant Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bryant Chen

Since Specialization
Citations

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