Ashwin Balakrishna
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Ken GoldbergBrijen ThananjeyanJoseph E. GonzalezMinho HwangDaniel SeitaPriya SundaresanRyan HoqueNawid Jamali
- Topics
- Robot Manipulation and Learning (18 papers)Reinforcement Learning in Robotics (6 papers)Soft Robotics and Applications (6 papers)
- Cited by
- Control and Systems EngineeringIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Ashwin Balakrishna
28 papers receiving 532 citations
Peers
Comparison fields: 5 of 67
- Control and Systems Engineering 305
- Biomedical Engineering 150
- Artificial Intelligence 137
- Computer Vision and Pattern Recognition 107
- Industrial and Manufacturing Engineering 58
Countries citing papers authored by Ashwin Balakrishna
This map shows the geographic impact of Ashwin Balakrishna'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 Ashwin Balakrishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Balakrishna more than expected).
Fields of papers citing papers by Ashwin Balakrishna
This network shows the impact of papers produced by Ashwin Balakrishna. 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 Ashwin Balakrishna. The network helps show where Ashwin Balakrishna may publish in the future.
Co-authorship network of co-authors of Ashwin Balakrishna
This figure shows the co-authorship network connecting the top 25 collaborators of Ashwin Balakrishna. A scholar is included among the top collaborators of Ashwin Balakrishna 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 Ashwin Balakrishna. Ashwin Balakrishna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 108 | |
| 6 | 11 | |
| 7 | 35 | |
| 8 | 16 | |
| 9 | Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects | 2 |
| 10 | 7 | |
| 11 | 72 | |
| 12 | Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations. | 1 |
| 13 | On-Policy Robot Imitation Learning from a Converging Supervisor | 4 |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | 68 | |
| 18 | 4 | |
| 19 | Recognizing the Hand Written Characters | 1 |
| 20 | Key Performance Indicators in Cloud Computing | 1 |
About Ashwin Balakrishna
Ashwin Balakrishna is a scholar working on Control and Systems Engineering, Ophthalmology and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 554 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (18 papers), Reinforcement Learning in Robotics (6 papers) and Soft Robotics and Applications (6 papers). The work is most often cited by research in Control and Systems Engineering (305 citations), Industrial and Manufacturing Engineering (58 citations) and Computer Vision and Pattern Recognition (107 citations). Ashwin Balakrishna has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Ken Goldberg, Brijen Thananjeyan, Joseph E. Gonzalez, Minho Hwang, Daniel Seita, Priya Sundaresan, Ryan Hoque, Nawid Jamali, Michael Luo and Soshi Iba. Their work appears in journals such as IEEE Photonics Technology Letters, Autonomous Robots and IEEE Robotics and Automation Letters.
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.