Tri Dao

10 papers and 55 indexed citations
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About

Tri Dao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tri Dao has authored 10 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Tri Dao’s work include Multimodal Machine Learning Applications (2 papers), Advanced Neural Network Applications (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). Tri Dao is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Advanced Neural Network Applications (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). Tri Dao collaborates with scholars based in United States. Tri Dao's co-authors include Albert Gu, Cristina Re, Christopher De, Alexander Ratner, Aaron Gokaslan, Volodymyr Kuleshov, Atri Rudra, Christopher Ré, Zhao Song and Christopher Ré and has published in prestigious journals such as arXiv (Cornell University), PubMed and neural information processing systems.

In The Last Decade

Co-authorship network of co-authors of Tri Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Tri Dao. A scholar is included among the top collaborators of Tri Dao 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 Tri Dao. Tri Dao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Tri Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tri Dao

Since Specialization
Citations

This map shows the geographic impact of Tri Dao'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 Tri Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tri Dao 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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2026