Mayank Mittal
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Artificial Intelligence
- Mechanical Engineering
- Co-authors
- Marco HutterFarbod FarshidianAnimesh GargDavid HoellerCalvin YuNikita RudinJingzhou LiuYunrong Guo
- Topics
- Robotic Locomotion and Control (3 papers)Robotic Path Planning Algorithms (3 papers)Robot Manipulation and Learning (2 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionBiomedical Engineering
- Journals
- IEEE Robotics and Automation Letters2022 International Conference on Robotics and Automation (ICRA)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Partner nations
- SwitzerlandCanadaUnited States
In The Last Decade
Mayank Mittal
4 papers receiving 171 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Control and Systems Engineering 85
- Computer Vision and Pattern Recognition 69
- Biomedical Engineering 62
- Artificial Intelligence 43
- Mechanical Engineering 29
Countries citing papers authored by Mayank Mittal
This map shows the geographic impact of Mayank Mittal'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 Mayank Mittal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Mittal more than expected).
Fields of papers citing papers by Mayank Mittal
This network shows the impact of papers produced by Mayank Mittal. 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 Mayank Mittal. The network helps show where Mayank Mittal may publish in the future.
Co-authorship network of co-authors of Mayank Mittal
This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Mittal. A scholar is included among the top collaborators of Mayank Mittal 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 Mayank Mittal. Mayank Mittal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Orbit: A Unified Simulation Framework for Interactive Robot Learning Environmentsbreakdown → | 89 |
| 3 | 49 | |
| 4 | 40 |
About Mayank Mittal
Mayank Mittal is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering, having authored 4 papers that have together received 179 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (3 papers), Robotic Path Planning Algorithms (3 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Control and Systems Engineering (85 citations), Computer Vision and Pattern Recognition (69 citations) and Biomedical Engineering (62 citations). Mayank Mittal has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Marco Hutter, Farbod Farshidian, Animesh Garg, David Hoeller, Calvin Yu, Nikita Rudin, Jingzhou Liu, Yunrong Guo, Hammad Mazhar and Gavriel State. Their work appears in journals such as IEEE Robotics and Automation Letters, 2022 International Conference on Robotics and Automation (ICRA) and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.