Alex Irpan

About

Alex Irpan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alex Irpan has authored 6 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alex Irpan’s work include Reinforcement Learning in Robotics (4 papers), Robot Manipulation and Learning (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Alex Irpan is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Robot Manipulation and Learning (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Alex Irpan collaborates with scholars based in United States and United Kingdom. Alex Irpan's co-authors include Sergey Levine, Julian Ibarz, Paul Wohlhart, Mrinal Kalakrishnan, Konstantinos Bousmalis, Laura Downs, Vincent Vanhoucke, Yunfei Bai, Peter Pástor and Matthew Kelcey and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Alex Irpan i

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Fields of papers citing papers by Alex Irpan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alex Irpan

Since Specialization

Citations

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