Pratap Tokekar
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Co-authors
- Volkan IslerD. J. MullaJoshua Vander HookLifeng ZhouVasileios TzoumasGeorge J. PappasPravakar RoyCheng Peng
- Topics
- Optimization and Search Problems (4 papers)Distributed Control Multi-Agent Systems (3 papers)Robotic Path Planning Algorithms (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Networks and Communications
- Partner nations
- United States
In The Last Decade
Pratap Tokekar
9 papers receiving 505 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Aerospace Engineering 244
- Computer Vision and Pattern Recognition 219
- Computer Networks and Communications 190
- Control and Systems Engineering 68
- Artificial Intelligence 67
Countries citing papers authored by Pratap Tokekar
This map shows the geographic impact of Pratap Tokekar'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 Pratap Tokekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratap Tokekar more than expected).
Fields of papers citing papers by Pratap Tokekar
This network shows the impact of papers produced by Pratap Tokekar. 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 Pratap Tokekar. The network helps show where Pratap Tokekar may publish in the future.
Co-authorship network of co-authors of Pratap Tokekar
This figure shows the co-authorship network connecting the top 25 collaborators of Pratap Tokekar. A scholar is included among the top collaborators of Pratap Tokekar 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 Pratap Tokekar. Pratap Tokekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 2 | |
| 3 | 58 | |
| 4 | 1 | |
| 5 | Sensor Planning for a Symbiotic UAV and UGV System for Precision Agriculturebreakdown → | 364 |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 47 |
About Pratap Tokekar
Pratap Tokekar is a scholar working on Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 522 indexed citations. Recurring topics across this work include Optimization and Search Problems (4 papers), Distributed Control Multi-Agent Systems (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Aerospace Engineering (244 citations) and Computer Networks and Communications (190 citations). Pratap Tokekar has collaborated with scholars based in United States. Frequent co-authors include Volkan Isler, D. J. Mulla, Joshua Vander Hook, Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pravakar Roy and Cheng Peng. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and Journal of Field Robotics.
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.