Pratap Tokekar

196 total papers · 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 Italy. Pratap Tokekar's co-authors include Volkan Isler, Joshua Vander Hook, Vijay Kumar, Kevin Yu, Lifeng Zhou, Philip Dames, D. J. Mulla, Jnaneshwar Das, P. B. Sujit and Yash Mulgaonkar 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pratap Tokekar 417 417 345 194 152 81 1.0k
Zain Anwar Ali 351 0.8× 416 1.0× 292 0.8× 127 0.7× 309 2.0× 91 1.1k
Lefteris Doitsidis 323 0.8× 235 0.6× 217 0.6× 210 1.1× 237 1.6× 49 901
Eva Besada-Portas 555 1.3× 506 1.2× 297 0.9× 259 1.3× 214 1.4× 66 1.1k
Xiaoshan Bai 379 0.9× 199 0.5× 306 0.9× 149 0.8× 190 1.3× 54 1.0k
J. Orozco 298 0.7× 322 0.8× 189 0.5× 186 1.0× 249 1.6× 97 1.1k
David Portugal 470 1.1× 376 0.9× 370 1.1× 168 0.9× 310 2.0× 65 1.2k
Ahmed Hussein 416 1.0× 238 0.6× 308 0.9× 169 0.9× 263 1.7× 53 1.1k
Ali Karimoddini 210 0.5× 191 0.5× 243 0.7× 166 0.9× 288 1.9× 101 932
Manh Duong Phung 542 1.3× 496 1.2× 194 0.6× 173 0.9× 160 1.1× 40 1.0k
Jiabao Wen 412 1.0× 193 0.5× 202 0.6× 249 1.3× 104 0.7× 72 1.2k

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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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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2026