Julian Ibarz

14 papers and 2.1k indexed citations i.

About

Julian Ibarz is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Julian Ibarz has authored 14 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Julian Ibarz’s work include Robot Manipulation and Learning (8 papers), Reinforcement Learning in Robotics (8 papers) and Multimodal Machine Learning Applications (3 papers). Julian Ibarz is often cited by papers focused on Robot Manipulation and Learning (8 papers), Reinforcement Learning in Robotics (8 papers) and Multimodal Machine Learning Applications (3 papers). Julian Ibarz collaborates with scholars based in United States, United Kingdom and Germany. Julian Ibarz's co-authors include Sergey Levine, Peter Pástor, Deirdre Quillen, Alex Krizhevsky, Mrinal Kalakrishnan, Chelsea Finn, Alex Irpan, Konstantinos Bousmalis, Paul Wohlhart and Jie Tan and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and IEEE Transactions on Information Technology in Biomedicine.

In The Last Decade

Co-authorship network of co-authors of Julian Ibarz i

Fields of papers citing papers by Julian Ibarz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Julian Ibarz

Since Specialization
Citations

This map shows the geographic impact of Julian Ibarz'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 Julian Ibarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Ibarz 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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2025