Shikhar Bahl
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction
- Biomedical Engineering
- Co-authors
- Deepak PathakAbhinav GuptaRussell MendoncaLili ChenUnnat JainVitchyr H. PongAshvin NairSteven Lin
- Topics
- Robot Manipulation and Learning (7 papers)Reinforcement Learning in Robotics (6 papers)Human Pose and Action Recognition (3 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- The International Journal of Robotics ResearchJournal of Global HealtharXiv (Cornell University)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Shikhar Bahl
12 papers receiving 181 citations
Peers
Comparison fields: 5 of 42
- Control and Systems Engineering 99
- Artificial Intelligence 83
- Computer Vision and Pattern Recognition 80
- Human-Computer Interaction 11
- Biomedical Engineering 11
Countries citing papers authored by Shikhar Bahl
This map shows the geographic impact of Shikhar Bahl'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 Shikhar Bahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shikhar Bahl more than expected).
Fields of papers citing papers by Shikhar Bahl
This network shows the impact of papers produced by Shikhar Bahl. 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 Shikhar Bahl. The network helps show where Shikhar Bahl may publish in the future.
Co-authorship network of co-authors of Shikhar Bahl
This figure shows the co-authorship network connecting the top 25 collaborators of Shikhar Bahl. A scholar is included among the top collaborators of Shikhar Bahl 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 Shikhar Bahl. Shikhar Bahl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 4 | |
| 6 | 45 | |
| 7 | 43 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | Visual Reinforcement Learning with Imagined Goals | 38 |
| 12 | 15 |
About Shikhar Bahl
Shikhar Bahl is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 12 papers that have together received 190 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (6 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Control and Systems Engineering (99 citations), Computer Vision and Pattern Recognition (80 citations) and Artificial Intelligence (83 citations). Shikhar Bahl has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Deepak Pathak, Deepak Pathak, Abhinav Gupta, Russell Mendonca, Lili Chen, Unnat Jain, Vitchyr H. Pong, Ashvin Nair, Steven Lin and Sergey Levine. Their work appears in journals such as The International Journal of Robotics Research, Journal of Global Health and arXiv (Cornell 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.