Tom Erez

21.1k citations
28 papers · 8.5k · 3 hit papers · h-index 18

Impact in

Papers in

Tom Erez

26 papers receiving 8.3k citations

Tom Erez's Hit Papers

Continuous control with deep reinforcement learning 2016 · 4.9k citations
4.9k0+4+9Years since publication10002.0k3.0k4.0k

Peers

Tom Erez
Comparison fields: 5 of 143
  • Control and Systems Engineering 3.0k
  • Artificial Intelligence 3.8k
  • Computer Vision and Pattern Recognition 1.7k
  • Automotive Engineering 832
  • Computational Theory and Mathematics 798
Replace Yuval Tassa with:
Yuval Tassa United States
Nicolas Heess United Kingdom
Radu‐Emil Precup Romania
Hado van Hasselt United Kingdom
Marc Peter Deisenroth United Kingdom
J. Andrew Bagnell United States
Emil M. Petriu Canada
Sergey Levine United States
Vladimir Stojanović Serbia
Jan Peters Germany
Tom Erez relative to Yuval Tassa United States Yuval Tassa's profile →
Citations per field
00.5×1.5×
Yuval Tassa · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Tom Erez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom Erez Line = papers co-authored together Tom Erez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Continuous control with deep reinforcement learning
Hit paper breakdown →
20164934
2
MuJoCo: A physics engine for model-based control
Hit paper breakdown →
20122073
3
Synthesis and stabilization of complex behaviors through online trajectory optimization
Hit paper breakdown →
2012407
4 2015183
5 2018130
6
Learning continuous control policies by stochastic value gradients
2015114
7 202093
8
Receding Horizon Differential Dynamic Programming
200779
9 201375
10 202060
11 201448
12 201248
13 200739
14 201336
15 201134
16 200826
17 201026
18 200722
19 20119
20 20109

About Tom Erez

Tom Erez is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Biomedical Engineering, having authored 28 papers that have together received 8.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (11 papers), Robotic Locomotion and Control (6 papers), Robot Manipulation and Learning (5 papers), Robotic Path Planning Algorithms (4 papers), Prosthetics and Rehabilitation Robotics (4 papers), Advanced Control Systems Optimization (3 papers), Human Motion and Animation (3 papers) and Adaptive Dynamic Programming Control (3 papers). The work is most often cited by research in Control and Systems Engineering (3.0k citations), Artificial Intelligence (3.8k citations), Computer Vision and Pattern Recognition (1.7k citations), Automotive Engineering (832 citations) and Computational Theory and Mathematics (798 citations). Tom Erez has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Yuval Tassa, Emanuel Todorov, Nicolas Heess, Timothy Lillicrap, David Silver, Jonathan J. Hunt, Daan Wierstra, Alexander Pritzel, William D. Smart and Josh Merel. Their work appears in journals such as ACM Transactions on Graphics, Physica A Statistical Mechanics and its Applications, Software Impacts, IFAC Proceedings Volumes and Proceedings of the AAAI Conference on Artificial Intelligence.

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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