Pratap Tokekar
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 5%
- Co-authors
- Volkan IslerJoshua Vander HookVijay KumarKevin YuLifeng ZhouPhilip DamesD. J. MullaP. B. Sujit
- Topics
- Robotic Path Planning Algorithms (27 papers)Optimization and Search Problems (21 papers)Robotics and Sensor-Based Localization (18 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Networks and Communications
- Journals
- PLoS ONEThe International Journal of Robotics ResearchIEEE Transactions on Control Systems Technology
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Pratap Tokekar
73 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 424
- Aerospace Engineering 422
- Computer Networks and Communications 349
- Artificial Intelligence 196
- Control and Systems Engineering 159
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 | 0 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 8 | |
| 16 | Recreating Bat Behavior on Quad-Rotor UAVs - A Simulation Approach. | 1 |
| 17 | 3 | |
| 18 | 23 | |
| 19 | 60 | |
| 20 | 28 |
About Pratap Tokekar
Pratap Tokekar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (27 papers), Optimization and Search Problems (21 papers) and Robotics and Sensor-Based Localization (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (424 citations), Aerospace Engineering (422 citations) and Computer Networks and Communications (349 citations). Pratap Tokekar has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Volkan Isler, Joshua Vander Hook, Vijay Kumar, Kevin Yu, Lifeng Zhou, Philip Dames, D. J. Mulla, P. B. Sujit, Jnaneshwar Das and Yash Mulgaonkar. Their work appears in journals such as PLoS ONE, The International Journal of Robotics Research and IEEE Transactions on Control Systems Technology.
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.