Igor Mordatch

8.3k citations
37 papers · 2.3k · 4 hit papers · h-index 23

Impact in

Papers in

Igor Mordatch

35 papers receiving 2.2k citations

Igor Mordatch's Hit Papers

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 2024 · 86 citations
860+4+9Years since publication100200300

Peers

Igor Mordatch
Comparison fields: 5 of 103
  • Control and Systems Engineering 1.1k
  • Computer Vision and Pattern Recognition 995
  • Human-Computer Interaction 165
  • Computer Graphics and Computer-Aided Design 92
  • Artificial Intelligence 670
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Citations per year

Countries citing papers authored by Igor Mordatch

Since Specialization
Citations

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

Fields of papers citing papers by Igor Mordatch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Igor Mordatch, 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 Igor Mordatch Line = papers co-authored together Igor Mordatch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RT-1: Robotics Transformer for Real-World Control at Scale
Hit paper breakdown →
2023384
2
Discovery of complex behaviors through contact-invariant optimization
Hit paper breakdown →
2012341
3
Emergence of Grounded Compositional Language in Multi-Agent Populations
Hit paper breakdown →
2018270
4 2010190
5 2010129
6 201589
7
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0
Hit paper breakdown →
202486
8 201476
9 202274
10 200969
11 201364
12 201360
13 200859
14
Interactive control of diverse complex characters with neural networks
201552
15 201542
16 202241
17 201234
18 200831
19 201030
20 201629

About Igor Mordatch

Igor Mordatch is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering and Computer Graphics and Computer-Aided Design, having authored 37 papers that have together received 2.3k indexed citations. Recurring topics across this work include Human Motion and Animation (11 papers), Human Pose and Action Recognition (11 papers), Reinforcement Learning in Robotics (10 papers), Robotic Locomotion and Control (7 papers), Robot Manipulation and Learning (4 papers), Machine Learning and Data Classification (3 papers), Topic Modeling (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Computer Vision and Pattern Recognition (995 citations), Human-Computer Interaction (165 citations), Computer Graphics and Computer-Aided Design (92 citations) and Artificial Intelligence (670 citations). Igor Mordatch has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Emanuel Todorov, Pieter Abbeel, Zoran Popović, Aaron Hertzmann, Martin de Lasa, Kendall Lowrey, Emo Todorov, Azam Khan, Aditya Grover and Kevin Lü. Their work appears in journals such as ACM Transactions on Graphics, Microscopy and Microanalysis, Cognitive Science, Proceedings of the AAAI Conference on Artificial Intelligence and elib (German Aerospace Center).

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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