Pratap Tokekar

1.9k total citations
81 papers, 1.0k citations indexed

About

Pratap Tokekar is a scholar working on Aerospace Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pratap Tokekar has authored 81 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Aerospace Engineering, 32 papers in Computer Networks and Communications and 31 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pratap Tokekar's work include Robotic Path Planning Algorithms (27 papers), Optimization and Search Problems (21 papers) and Robotics and Sensor-Based Localization (18 papers). Pratap Tokekar is often cited by papers focused on Robotic Path Planning Algorithms (27 papers), Optimization and Search Problems (21 papers) and Robotics and Sensor-Based Localization (18 papers). Pratap Tokekar collaborates with scholars based in United States, India and Netherlands. Pratap Tokekar's 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 Chao Qu and has published in prestigious journals such as PLoS ONE, The International Journal of Robotics Research and IEEE Transactions on Control Systems Technology.

In The Last Decade

Pratap Tokekar

73 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pratap Tokekar United States	18	424	422	349	196	159	81	1.0k
Zain Anwar Ali China	20	361 0.9×	422 1.0×	294 0.8×	134 0.7×	315 2.0×	91	1.1k
Joshua Vander Hook United States	12	282 0.7×	369 0.9×	226 0.6×	108 0.6×	88 0.6×	35	740
Xiaoshan Bai China	18	388 0.9×	206 0.5×	323 0.9×	159 0.8×	204 1.3×	54	1.1k
Eva Besada-Portas Spain	19	555 1.3×	508 1.2×	297 0.9×	259 1.3×	214 1.3×	66	1.1k
Steve Macenski United States	8	410 1.0×	316 0.7×	160 0.5×	143 0.7×	305 1.9×	10	977
Jorge Peña Queralta Finland	20	467 1.1×	446 1.1×	525 1.5×	239 1.2×	186 1.2×	58	1.5k
Ali Karimoddini United States	15	212 0.5×	193 0.5×	245 0.7×	168 0.9×	289 1.8×	102	951
Manh Duong Phung Vietnam	13	555 1.3×	503 1.2×	197 0.6×	178 0.9×	160 1.0×	40	1.0k
J. Orozco Spain	18	298 0.7×	324 0.8×	189 0.5×	186 0.9×	249 1.6×	97	1.1k
Paulo R. Ferreira Brazil	11	504 1.2×	480 1.1×	196 0.6×	80 0.4×	58 0.4×	36	793

Countries citing papers authored by Pratap Tokekar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Tokekar, Pratap, et al.. (2025). Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches.

Karapetyan, Nare, et al.. (2024). AG-Cvg: Coverage Planning with a Mobile Recharging UGV and an Energy-Constrained UAV. 2617–2623. 6 indexed citations

Agrawal, Rajat, et al.. (2024). Multi-Agent Deep Reinforcement Learning for Persistent Monitoring With Sensing, Communication, and Localization Constraints. IEEE Transactions on Automation Science and Engineering. 22. 2831–2843. 6 indexed citations

Liu, Rui, et al.. (2024). LAVA: Long-horizon Visual Action based Food Acquisition. 8929–8935. 4 indexed citations

Tokekar, Pratap, et al.. (2024). When to Localize?: A POMDP Approach. 184–189.

Tokekar, Pratap, et al.. (2024). Pre-Trained Masked Image Model for Mobile Robot Navigation. 5126–5133. 1 indexed citations

Karapetyan, Nare, et al.. (2024). UIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning. 5250–5256. 5 indexed citations

Bedi, Amrit Singh, et al.. (2023). Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization. 989–995. 2 indexed citations

Tokekar, Pratap, et al.. (2023). Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. Research Repository (Delft University of Technology). 1. 7830–7836. 1 indexed citations

10.

Bedi, Amrit Singh, Pratap Tokekar, Alec Koppel, et al.. (2023). Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 6980–6988. 2 indexed citations

11.

Das, Jnaneshwar, et al.. (2023). A Survey of Decision-Theoretic Approaches for Robotic Environmental Monitoring. 11(4). 225–315. 4 indexed citations

12.

Shi, Guangyao, et al.. (2023). Data-Driven Distributionally Robust Optimal Control with State-Dependent Noise. 9986–9991.

13.

Shi, Guangyao, et al.. (2023). Risk-aware Recharging Rendezvous for a Collaborative Team of UAVs and UGVs. 5544–5550. 6 indexed citations

14.

Tracy, Benjamin F., et al.. (2021). DeepPaSTL: Spatio-Temporal Deep Learning Methods for Predicting Long-Term Pasture Terrains Using Synthetic Datasets. Agronomy. 11(11). 2245–2245. 8 indexed citations

15.

Tokekar, Pratap, et al.. (2020). Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. 8 indexed citations

16.

Tanveer, M. Hassan, et al.. (2020). Recreating Bat Behavior on Quad-Rotor UAVs - A Simulation Approach.. arXiv (Cornell University). 380–385. 1 indexed citations

17.

Yu, Kevin, et al.. (2018). Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations. 5720–5725. 60 indexed citations

18.

Fowler, Michael C., Pratap Tokekar, T. Charles Clancy, & Ryan K. Williams. (2018). Constrained-Action POMDPs for Multi-Agent Intelligent Knowledge Distribution. 3701–3708. 8 indexed citations

19.

Yu, Kevin, et al.. (2018). Algorithms and experiments on routing of unmanned aerial vehicles with mobile recharging stations. Journal of Field Robotics. 36(3). 602–616. 43 indexed citations

20.

Hook, Joshua Vander, Pratap Tokekar, & Volkan Isler. (2015). Algorithms for Cooperative Active Localization of Static Targets With Mobile Bearing Sensors Under Communication Constraints. IEEE Transactions on Robotics. 31(4). 864–876. 28 indexed citations

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.

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