Tom Erez

21 papers and 6.7k indexed citations i.

About

Tom Erez is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tom Erez has authored 21 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 9 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tom Erez’s work include Reinforcement Learning in Robotics (8 papers), Robotic Locomotion and Control (6 papers) and Robot Manipulation and Learning (5 papers). Tom Erez is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Robotic Locomotion and Control (6 papers) and Robot Manipulation and Learning (5 papers). Tom Erez collaborates with scholars based in United States, United Kingdom and Israel. Tom Erez's co-authors include Yuval Tassa, Emanuel Todorov, Nicolas Heess, Timothy Lillicrap, David Silver, Daan Wierstra, Jonathan J. Hunt, Alexander Pritzel, William D. Smart and Josh Merel and has published in prestigious journals such as ACM Transactions on Graphics, Physica A Statistical Mechanics and its Applications and IEEE Transactions on Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Tom Erez i

Fields of papers citing papers by Tom Erez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Erez

Since Specialization
Citations

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