Sumeet Singh
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Aerospace Engineering
- Co-authors
- Marco PavoneAnirudha MajumdarJean-Jacques SlotineYinlam ChowRamana Rao KompellaMyungjin LeeVikas SindhwaniAjay Mandlekar
- Topics
- Robotic Path Planning Algorithms (6 papers)Control and Stability of Dynamical Systems (4 papers)Reinforcement Learning in Robotics (3 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- IEEE Transactions on Automatic ControlThe International Journal of Robotics ResearchApplied Mathematics and Computation
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Sumeet Singh
18 papers receiving 333 citations
Peers
Comparison fields: 5 of 65
- Control and Systems Engineering 171
- Artificial Intelligence 112
- Computer Vision and Pattern Recognition 93
- Computational Theory and Mathematics 37
- Aerospace Engineering 37
Countries citing papers authored by Sumeet Singh
This map shows the geographic impact of Sumeet Singh'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 Sumeet Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumeet Singh more than expected).
Fields of papers citing papers by Sumeet Singh
This network shows the impact of papers produced by Sumeet Singh. 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 Sumeet Singh. The network helps show where Sumeet Singh may publish in the future.
Co-authorship network of co-authors of Sumeet Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Sumeet Singh. A scholar is included among the top collaborators of Sumeet Singh 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 Sumeet Singh. Sumeet Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 19 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 15 | |
| 6 | 5 | |
| 7 | 30 | |
| 8 | 19 | |
| 9 | 46 | |
| 10 | 11 | |
| 11 | 22 | |
| 12 | 108 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | Proceedings of the 2010 USENIX Conference on Web Application Development | 28 |
| 16 | 1 | |
| 17 | Special Libraries in the Electronic Environment | 3 |
| 18 | 1 |
About Sumeet Singh
Sumeet Singh is a scholar working on General Decision Sciences, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 18 papers that have together received 345 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Control and Stability of Dynamical Systems (4 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Control and Systems Engineering (171 citations), Computer Vision and Pattern Recognition (93 citations) and Artificial Intelligence (112 citations). Sumeet Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Marco Pavone, Anirudha Majumdar, Jean-Jacques Slotine, Yinlam Chow, Ramana Rao Kompella, Myungjin Lee, Vikas Sindhwani, Ajay Mandlekar, David A Dorr and Mac Schwager. Their work appears in journals such as IEEE Transactions on Automatic Control, The International Journal of Robotics Research and Applied Mathematics and Computation.
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.