Tom Erez

20.9k total citations · 3 hit papers
27 papers, 8.3k citations indexed

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 27 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 11 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tom Erez's work include Reinforcement Learning in Robotics (11 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 (11 papers), Robotic Locomotion and Control (6 papers) and Robot Manipulation and Learning (5 papers). Tom Erez collaborates with scholars based in United States, Israel and United Kingdom. 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

Tom Erez

25 papers receiving 8.1k citations

Hit Papers

Continuous control with deep reinforcement learning 2012 2026 2016 2021 2016 2012 2012 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Continuous control with deep reinforcement learning
    2016 4.9k citations Timothy Lillicrap, Jonathan J. Hunt et al. arXiv (Cornell University) profile →
  2. MuJoCo: A physics engine for model-based control
    2012 2.0k citations Emanuel Todorov, Tom Erez et al. profile →
  3. Synthesis and stabilization of complex behaviors through online trajectory optimization
    2012 400 citations Yuval Tassa, Tom Erez et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom Erez United States 18 3.8k 3.0k 1.7k 1.6k 1.2k 27 8.3k
Yuval Tassa United States 20 3.8k 1.0× 3.2k 1.1× 1.7k 1.0× 1.6k 1.0× 1.3k 1.1× 30 8.7k
Nicolas Heess United Kingdom 25 2.9k 0.8× 1.8k 0.6× 1.5k 0.9× 1.5k 1.0× 432 0.4× 58 6.5k
Radu‐Emil Precup Romania 62 2.9k 0.8× 5.4k 1.8× 905 0.5× 1.1k 0.7× 689 0.6× 400 9.1k
Emil M. Petriu Canada 46 1.9k 0.5× 3.1k 1.0× 1.8k 1.1× 1.2k 0.7× 938 0.8× 508 8.2k
Badong Chen China 56 3.8k 1.0× 2.1k 0.7× 2.5k 1.5× 1.8k 1.1× 735 0.6× 462 12.8k
Marc Peter Deisenroth United Kingdom 26 2.9k 0.8× 1.9k 0.6× 858 0.5× 808 0.5× 517 0.4× 73 6.0k
Jong-Hwan Kim South Korea 38 2.5k 0.7× 1.9k 0.6× 2.0k 1.2× 836 0.5× 1.1k 0.9× 402 7.2k
Sergey Levine United States 53 6.0k 1.6× 5.2k 1.8× 4.3k 2.6× 727 0.5× 2.1k 1.8× 228 12.1k
J. Andrew Bagnell United States 38 3.5k 0.9× 3.1k 1.0× 3.1k 1.8× 384 0.2× 1.0k 0.9× 109 8.3k
Huaping Liu China 44 1.7k 0.5× 2.2k 0.7× 2.9k 1.7× 587 0.4× 1.4k 1.2× 450 7.9k

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).

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.

Co-authorship network of co-authors of Tom Erez

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

All Works

20 of 20 papers shown
1.
Manchester, Zachary, et al.. (2025). Efficient Online Learning of Contact Force Models for Connector Insertion. 10944–10950.
2.
Tunyasuvunakool, Saran, Alistair Muldal, Yotam Doron, et al.. (2020). dm_control: Software and tasks for continuous control. Software Impacts. 6. 100022–100022. 89 indexed citations
3.
Zhu, Yuke, Ziyu Wang, Josh Merel, et al.. (2018). Reinforcement and Imitation Learning for Diverse Visuomotor Skills. 126 indexed citations
4.
Lillicrap, Timothy, Jonathan J. Hunt, Alexander Pritzel, et al.. (2016). Continuous control with deep reinforcement learning. arXiv (Cornell University). 4888 indexed citations breakdown →
5.
Denil, Misha, Pulkit Agrawal, Tejas D. Kulkarni, et al.. (2016). Learning to Perform Physics Experiments via Deep Reinforcement Learning.. International Conference on Learning Representations. 2 indexed citations
6.
Erez, Tom, et al.. (2016). Autonomous robot for tunnel mapping. 14. 1–4. 3 indexed citations
7.
Heess, Nicolas, Greg Wayne, David Silver, et al.. (2015). Learning continuous control policies by stochastic value gradients. arXiv (Cornell University). 28. 2944–2952. 113 indexed citations
8.
Erez, Tom, Yuval Tassa, & Emanuel Todorov. (2015). Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX. 4397–4404. 179 indexed citations
9.
Kumar, Vikash, Yuval Tassa, Tom Erez, & Emanuel Todorov. (2014). Real-time behaviour synthesis for dynamic hand-manipulation. 6808–6815. 48 indexed citations
10.
Lowrey, Kendall, et al.. (2014). Physically-consistent sensor fusion in contact-rich behaviors. 1656–1662. 7 indexed citations
11.
Tassa, Yuval, Tom Erez, & Emanuel Todorov. (2012). Synthesis and stabilization of complex behaviors through online trajectory optimization. 4906–4913. 400 indexed citations breakdown →
12.
Erez, Tom & Emanuel Todorov. (2012). Trajectory optimization for domains with contacts using inverse dynamics. 4914–4919. 48 indexed citations
13.
Todorov, Emanuel, Tom Erez, & Yuval Tassa. (2012). MuJoCo: A physics engine for model-based control. 5026–5033. 2003 indexed citations breakdown →
14.
Erez, Tom, et al.. (2011). A POMDP Model of Eye-Hand Coordination. Proceedings of the AAAI Conference on Artificial Intelligence. 25(1). 952–957. 9 indexed citations
15.
Tassa, Yuval, Tom Erez, & Emanuel Todorov. (2011). Optimal Limit-Cycle Control recast as Bayesian Inference. IFAC Proceedings Volumes. 44(1). 4707–4713. 4 indexed citations
16.
Muchnik, Lev, et al.. (2010). Empirical extraction of mechanisms underlying real world network generation. Physica A Statistical Mechanics and its Applications. 389(22). 5308–5318. 9 indexed citations
17.
Erez, Tom. (2010). A Scalable Method for Solving High-Dimensional Continuous POMDPs Using Local Approximation. Open Scholarship Institutional Repository (Washington University in St. Louis). 160–167. 27 indexed citations
18.
Erez, Tom & William D. Smart. (2008). What does shaping mean for computational reinforcement learning?. 215–219. 27 indexed citations
19.
Tassa, Yuval, Tom Erez, & William D. Smart. (2007). Receding Horizon Differential Dynamic Programming. Neural Information Processing Systems. 20. 1465–1472. 80 indexed citations
20.
Tassa, Yuval & Tom Erez. (2007). Least Squares Solutions of the HJB Equation With Neural Network Value-Function Approximators. IEEE Transactions on Neural Networks. 18(4). 1031–1041. 40 indexed citations

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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