Yuval Tassa

11 papers and 3.7k indexed citations
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About

Yuval Tassa is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Yuval Tassa has authored 11 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 3 papers in Computational Theory and Mathematics. Recurrent topics in Yuval Tassa’s work include Reinforcement Learning in Robotics (6 papers), Model Reduction and Neural Networks (3 papers) and Adaptive Dynamic Programming Control (3 papers). Yuval Tassa is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Model Reduction and Neural Networks (3 papers) and Adaptive Dynamic Programming Control (3 papers). Yuval Tassa collaborates with scholars based in United States, United Kingdom and Israel. Yuval Tassa's co-authors include Tom Erez, Nicolas Heess, Timothy Lillicrap, David Silver, Daan Wierstra, Jonathan J. Hunt, Alexander Pritzel, Greg Wayne, William D. Smart and Jonas Koenemann and has published in prestigious journals such as Nature, ACM Transactions on Graphics and Software Impacts.

In The Last Decade

Co-authorship network of co-authors of Yuval Tassa

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

Fields of papers citing papers by Yuval Tassa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuval Tassa

Since Specialization
Citations

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