Akshara Rai
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Co-authors
- Franziska MeierTomoya TameiTakamitsu MatsubaraTomohiro ShibataKoushil SreenathChristopher G. AtkesonEric UndersanderRoberto Calandra
- Topics
- Robot Manipulation and Learning (10 papers)Reinforcement Learning in Robotics (10 papers)Robotic Locomotion and Control (7 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- IEEE Robotics and Automation LettersRoboticsSeoul National University Open Repository (Seoul National University)
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Akshara Rai
22 papers receiving 369 citations
Peers
Comparison fields: 5 of 51
- Control and Systems Engineering 222
- Biomedical Engineering 156
- Computer Vision and Pattern Recognition 129
- Artificial Intelligence 120
- Aerospace Engineering 49
Countries citing papers authored by Akshara Rai
This map shows the geographic impact of Akshara Rai'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 Akshara Rai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshara Rai more than expected).
Fields of papers citing papers by Akshara Rai
This network shows the impact of papers produced by Akshara Rai. 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 Akshara Rai. The network helps show where Akshara Rai may publish in the future.
Co-authorship network of co-authors of Akshara Rai
This figure shows the co-authorship network connecting the top 25 collaborators of Akshara Rai. A scholar is included among the top collaborators of Akshara Rai 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 Akshara Rai. Akshara Rai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 9 | |
| 3 | 19 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 21 | |
| 8 | 34 | |
| 9 | 14 | |
| 10 | 22 | |
| 11 | 13 | |
| 12 | Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization | 2 |
| 13 | Encoding Physical Constraints in Differentiable Newton-Euler Algorithm | 1 |
| 14 | 4 | |
| 15 | 28 | |
| 16 | Curious iLQR: Resolving Uncertainty in Model-based RL. | 5 |
| 17 | Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots | 9 |
| 18 | 7 | |
| 19 | 2 | |
| 20 | 71 |
About Akshara Rai
Akshara Rai is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 23 papers that have together received 378 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (10 papers), Reinforcement Learning in Robotics (10 papers) and Robotic Locomotion and Control (7 papers). The work is most often cited by research in Control and Systems Engineering (222 citations), Computer Vision and Pattern Recognition (129 citations) and Human-Computer Interaction (22 citations). Akshara Rai has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Franziska Meier, Tomoya Tamei, Takamitsu Matsubara, Tomohiro Shibata, Koushil Sreenath, Christopher G. Atkeson, Eric Undersander, Roberto Calandra, Stefan Schaal and Auke Jan Ijspeert. Their work appears in journals such as IEEE Robotics and Automation Letters, Robotics and Seoul National University Open Repository (Seoul National University).
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.