Gavriel State

692 citations
3 papers · 135 · 1 hit paper · h-index 3

Impact in

Papers in

Gavriel State

3 papers receiving 126 citations

Hit Papers

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments 2023 · 89 citations
890+1+2Years since publication255075

Peers

Gavriel State
Comparison fields: 5 of 37
  • Control and Systems Engineering 59
  • Industrial and Manufacturing Engineering 21
  • Computer Vision and Pattern Recognition 40
  • Artificial Intelligence 43
  • Human-Computer Interaction 7
Replace Mayank Mittal with:
Mayank Mittal Switzerland
Mohi Khansari United States
Florian Golemo Canada
Maria Bauzá United States
Tony Z. Zhao United States
Sung-Kyun Kim United States
Theodoros Stouraitis Germany
Simon Stepputtis United States
Florian Weißhardt Germany
Alex X. Lee United States
Gavriel State relative to Mayank Mittal Switzerland Mayank Mittal's profile →
Citations per field
00.5×1.5×2.1×
Mayank Mittal · 1×
Citations per year

Countries citing papers authored by Gavriel State

Since Specialization
Citations

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

Fields of papers citing papers by Gavriel State

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Gavriel State, 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 Gavriel State Line = papers co-authored together Gavriel State links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments
Hit paper breakdown →
202389
2 202236
3 202310

About Gavriel State

Gavriel State is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanical Engineering and Biomedical Engineering, having authored 3 papers that have together received 135 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (2 papers), Modular Robots and Swarm Intelligence (1 paper), Reinforcement Learning in Robotics (1 paper), Assembly Line Balancing Optimization (1 paper), Robotic Path Planning Algorithms (1 paper), Muscle activation and electromyography studies (1 paper), Manufacturing Process and Optimization (1 paper) and Advanced Manufacturing and Logistics Optimization (1 paper). The work is most often cited by research in Control and Systems Engineering (59 citations), Industrial and Manufacturing Engineering (21 citations), Computer Vision and Pattern Recognition (40 citations), Artificial Intelligence (43 citations) and Human-Computer Interaction (7 citations). Gavriel State has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Yunrong Guo, Animesh Garg, Marco Hutter, Nikita Rudin, David Hoeller, Hammad Mazhar, Ajay Mandlekar, Mayank Mittal, Calvin Yu and Jingzhou Liu. Their work appears in journals such as IEEE Robotics and Automation Letters.

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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