Vikash Kumar
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Advanced Control Systems Optimization
- Human Motion and Animation
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
Papers in
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- Robot Manipulation and Learning 7
- Robotic Mechanisms and Dynamics 2
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- Reinforcement Learning in Robotics 7
- Co-authors
- Emanuel V. Todorov (10 shared papers)Sergey Levine (5 shared papers)Abhishek Gupta (3 shared papers)Aravind Rajeswaran (3 shared papers)John Schulman (1 shared paper)Yuval Tassa (3 shared papers)Tom Erez (2 shared papers)Zhe Yuan Xu (2 shared papers)
- Journals
- Materials (1 paper)Arabian Journal for Science and Engineering (1 paper)Wear (1 paper)Surface and Coatings Technology (1 paper)Materials Today Proceedings (2 papers)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Vikash Kumar
29 papers receiving 1.4k citations
Vikash Kumar's Hit Papers
Peers
Comparison fields: 5 of 48
- Control and Systems Engineering 725
- Artificial Intelligence 662
- Biomedical Engineering 229
- Human-Computer Interaction 36
- Automotive Engineering 21
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Hit paper breakdown → | 2018 | 522 |
| 2 | 2016 | 142 | |
| 3 | 2019 | 122 | |
| 4 | 2018 | 110 | |
| 5 | 2013 | 92 | |
| 6 | 2015 | 78 | |
| 7 | 2014 | 54 | |
| 8 | 2013 | 50 | |
| 9 | 2013 | 49 | |
| 10 | 2021 | 47 | |
| 11 | 2012 | 37 | |
| 12 | 2019 | 28 | |
| 13 | 2022 | 28 | |
| 14 | 2023 | 22 | |
| 15 | 2018 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2013 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2023 | 4 |
About Vikash Kumar
Vikash Kumar is a scholar working on Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering, Mechanical Engineering and Media Technology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Robot Manipulation and Learning (7 papers), Electrodeposition and Electroless Coatings (4 papers), Soft Robotics and Applications (4 papers), Additive Manufacturing Materials and Processes (3 papers), Metallurgical Processes and Thermodynamics (2 papers), Robotic Mechanisms and Dynamics (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Control and Systems Engineering (725 citations), Artificial Intelligence (662 citations), Biomedical Engineering (229 citations), Human-Computer Interaction (36 citations) and Automotive Engineering (21 citations). Vikash Kumar has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Emanuel V. Todorov, Sergey Levine, Abhishek Gupta, Aravind Rajeswaran, John Schulman, Yuval Tassa, Tom Erez, Zhe Yuan Xu, Zhe Xu and Kendall Lowrey. Their work appears in journals such as Materials, Arabian Journal for Science and Engineering, Wear, 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.