Vikash Kumar
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Human-Computer Interaction top 10%
Papers in
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- Robot Manipulation and Learning 12
- Robotic Mechanisms and Dynamics 3
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- Muscle activation and electromyography studies 6
- Soft Robotics and Applications 4
- Co-authors
- Emanuel Todorov (9 shared papers)Sergey Levine (3 shared papers)Yuval Tassa (3 shared papers)Tom Erez (2 shared papers)Aravind Rajeswaran (2 shared papers)Zhe Xü (2 shared papers)Abhishek Gupta (1 shared paper)Zhe Xu (1 shared paper)
- Journals
- Arabian Journal for Science and Engineering (1 paper)Wear (1 paper)Materials (1 paper)Surface and Coatings Technology (1 paper)Materials Today Proceedings (2 papers)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Vikash Kumar
24 papers receiving 604 citations
Peers
Comparison fields: 5 of 59
- Control and Systems Engineering 422
- Human-Computer Interaction 41
- Biomedical Engineering 323
- Artificial Intelligence 176
- Computer Vision and Pattern Recognition 103
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 118 | |
| 2 | 2019 | 100 | |
| 3 | 2013 | 75 | |
| 4 | 2015 | 61 | |
| 5 | 2014 | 48 | |
| 6 | 2013 | 43 | |
| 7 | 2013 | 39 | |
| 8 | 2012 | 30 | |
| 9 | 2019 | 24 | |
| 10 | 2022 | 24 | |
| 11 | 2023 | 18 | |
| 12 | 2018 | 10 | |
| 13 | 2020 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 5 | |
| 16 | 2013 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 2 |
About Vikash Kumar
Vikash Kumar is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Mechanics of Materials, having authored 30 papers that have together received 630 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (12 papers), Muscle activation and electromyography studies (6 papers), Electrodeposition and Electroless Coatings (4 papers), Soft Robotics and Applications (4 papers), Advanced machining processes and optimization (3 papers), Additive Manufacturing Materials and Processes (3 papers), Robotic Mechanisms and Dynamics (3 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Control and Systems Engineering (422 citations), Human-Computer Interaction (41 citations), Biomedical Engineering (323 citations), Artificial Intelligence (176 citations) and Computer Vision and Pattern Recognition (103 citations). Vikash Kumar has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Emanuel Todorov, Sergey Levine, Yuval Tassa, Tom Erez, Aravind Rajeswaran, Zhe Xü, Abhishek Gupta, Zhe Xu, Kendall Lowrey and Yoky Matsuoka. Their work appears in journals such as Arabian Journal for Science and Engineering, Wear, Materials, 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.