Jesus Tordesillas

600 total citations
8 papers, 265 citations indexed

About

Jesus Tordesillas is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Jesus Tordesillas has authored 8 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 2 papers in Automotive Engineering. Recurrent topics in Jesus Tordesillas's work include Robotic Path Planning Algorithms (7 papers), Robotics and Sensor-Based Localization (4 papers) and UAV Applications and Optimization (2 papers). Jesus Tordesillas is often cited by papers focused on Robotic Path Planning Algorithms (7 papers), Robotics and Sensor-Based Localization (4 papers) and UAV Applications and Optimization (2 papers). Jesus Tordesillas collaborates with scholars based in United States, Spain and France. Jesus Tordesillas's co-authors include Jonathan P. How, Brett T. Lopez, Michael Everett, Adrián Carrio, Sai Vemprala, Pascual Campoy, Srikanth Saripalli, Reinaldo Figueroa, Timothy D. Barfoot and Julian Nubert and has published in prestigious journals such as IEEE Access, IEEE Transactions on Robotics and Computer-Aided Design.

In The Last Decade

Jesus Tordesillas

8 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jesus Tordesillas United States	7	195	173	65	43	43	8	265
Hongkai Ye China	4	268 1.4×	222 1.3×	79 1.2×	31 0.7×	41 1.0×	6	316
Shuaijun Wang China	6	166 0.9×	116 0.7×	52 0.8×	50 1.2×	42 1.0×	9	246
Sunggoo Jung South Korea	7	219 1.1×	204 1.2×	43 0.7×	29 0.7×	35 0.8×	11	287
Matthew E. Argyle United States	8	162 0.8×	212 1.2×	75 1.2×	116 2.7×	26 0.6×	12	299
Kumar Shaurya Shankar United States	5	185 0.9×	160 0.9×	54 0.8×	22 0.5×	28 0.7×	5	276
Björn Lindqvist Sweden	10	150 0.8×	149 0.9×	69 1.1×	55 1.3×	17 0.4×	29	254
Giovanni Cioffi Switzerland	6	109 0.6×	148 0.9×	53 0.8×	19 0.4×	14 0.3×	11	237
Huili Yu United States	10	247 1.3×	245 1.4×	50 0.8×	132 3.1×	26 0.6×	19	349
Kyel Ok United States	8	197 1.0×	219 1.3×	33 0.5×	25 0.6×	19 0.4×	14	290
Carlos E. Luis Canada	3	164 0.8×	88 0.5×	116 1.8×	128 3.0×	29 0.7×	3	261

Countries citing papers authored by Jesus Tordesillas

Since Specialization

Citations

This map shows the geographic impact of Jesus Tordesillas'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 Jesus Tordesillas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesus Tordesillas more than expected).

Fields of papers citing papers by Jesus Tordesillas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesus Tordesillas. 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 Jesus Tordesillas. The network helps show where Jesus Tordesillas may publish in the future.

Co-authorship network of co-authors of Jesus Tordesillas

This figure shows the co-authorship network connecting the top 25 collaborators of Jesus Tordesillas. A scholar is included among the top collaborators of Jesus Tordesillas 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 Jesus Tordesillas. Jesus Tordesillas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Talbot, William Henry Fox, Julian Nubert, César Cadena, et al.. (2025). Continuous-Time State Estimation Methods in Robotics: A Survey. IEEE Transactions on Robotics. 41. 4975–4999. 4 indexed citations

2.

Figueroa, Reinaldo, et al.. (2023). Robust MADER: Decentralized Multiagent Trajectory Planner Robust to Communication Delay in Dynamic Environments. IEEE Robotics and Automation Letters. 9(2). 1476–1483. 9 indexed citations

3.

Tordesillas, Jesus, et al.. (2023). Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay. 1687–1693. 13 indexed citations

4.

Tordesillas, Jesus & Jonathan P. How. (2023). Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments. IEEE Robotics and Automation Letters. 8(3). 1399–1406. 27 indexed citations

5.

Tordesillas, Jesus & Jonathan P. How. (2022). MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves. Computer-Aided Design. 151. 103341–103341. 23 indexed citations

6.

Tordesillas, Jesus & Jonathan P. How. (2022). PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments. IEEE Access. 10. 22662–22677. 46 indexed citations

7.

Tordesillas, Jesus, Brett T. Lopez, Michael Everett, & Jonathan P. How. (2021). FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments. IEEE Transactions on Robotics. 38(2). 922–938. 104 indexed citations

8.

Carrio, Adrián, Jesus Tordesillas, Sai Vemprala, et al.. (2020). Onboard Detection and Localization of Drones Using Depth Maps. IEEE Access. 8. 30480–30490. 39 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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