Vikash Kumar
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Biomedical Engineering top 10%
- Soft Robotics and Applications
- Muscle activation and electromyography studies
- Prosthetics and Rehabilitation Robotics
- Robotic Locomotion and Control
Papers in
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- Robot Manipulation and Learning 14
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- Muscle activation and electromyography studies 6
- Soft Robotics and Applications 4
- Robotic Locomotion and Control 3
- Co-authors
- Emanuel Todorov (10 shared papers)Sergey Levine (5 shared papers)Aravind Rajeswaran (3 shared papers)Yuval Tassa (3 shared papers)Abhishek Gupta (3 shared papers)Tom Erez (2 shared papers)Zhe Yuan Xu (2 shared papers)Zhe Xu (1 shared paper)
- Journals
- Materials (1 paper)Wear (1 paper)Arabian Journal for Science and Engineering (1 paper)Surface and Coatings Technology (1 paper)Materials Today Proceedings (2 papers)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Vikash Kumar
30 papers receiving 771 citations
Peers
Comparison fields: 5 of 69
- Control and Systems Engineering 531
- Biomedical Engineering 366
- Human-Computer Interaction 48
- Artificial Intelligence 231
- Computer Vision and Pattern Recognition 140
Countries citing papers authored by Vikash Kumar
This map shows the geographic impact of Vikash Kumar'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 Vikash Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikash Kumar more than expected).
Fields of papers citing papers by Vikash Kumar
This network shows the impact of papers produced by Vikash Kumar. 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 Vikash Kumar. The network helps show where Vikash Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikash Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 132 | |
| 2 | 2019 | 119 | |
| 3 | 2013 | 90 | |
| 4 | 2015 | 74 | |
| 5 | 2014 | 53 | |
| 6 | 2013 | 50 | |
| 7 | 2013 | 48 | |
| 8 | 2012 | 37 | |
| 9 | 2018 | 37 | |
| 10 | 2019 | 27 | |
| 11 | 2022 | 24 | |
| 12 | 2023 | 22 | |
| 13 | 2018 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 4 |
About Vikash Kumar
Vikash Kumar is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Artificial Intelligence and Media Technology, having authored 32 papers that have together received 795 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (14 papers), Muscle activation and electromyography studies (6 papers), Reinforcement Learning in Robotics (6 papers), Soft Robotics and Applications (4 papers), Electrodeposition and Electroless Coatings (4 papers), High Entropy Alloys Studies (3 papers), Additive Manufacturing Materials and Processes (3 papers) and Robotic Locomotion and Control (3 papers). The work is most often cited by research in Control and Systems Engineering (531 citations), Biomedical Engineering (366 citations), Human-Computer Interaction (48 citations), Artificial Intelligence (231 citations) and Computer Vision and Pattern Recognition (140 citations). Vikash Kumar has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Emanuel Todorov, Sergey Levine, Aravind Rajeswaran, Yuval Tassa, Abhishek Gupta, Tom Erez, Zhe Yuan Xu, Zhe Xu, Kendall Lowrey and Yoky Matsuoka. Their work appears in journals such as Materials, Wear, Arabian Journal for Science and Engineering, Surface and Coatings Technology and Materials Today Proceedings.
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.