Jonathan DeCastro

42 papers receiving 579 citations

Peers

Jonathan DeCastro
Comparison fields: 5 of 40
  • Automotive Engineering 156
  • Control and Systems Engineering 190
  • Safety, Risk, Reliability and Quality 66
  • Computational Theory and Mathematics 103
  • Computer Vision and Pattern Recognition 126
Replace Karen Leung with:
Karen Leung United States
Bassam Alrifaee Germany
Gabriel Rodrigues de Campos Sweden
Florent Altché France
Markus Koschi Germany
Laura Ferranti Netherlands
Florian Kuhnt Germany
Vishnu R. Desaraju United States
Marc René Zofka Germany
Thomas Schamm Germany
Jonathan DeCastro relative to Karen Leung United States Karen Leung's profile →
Citations per field
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Karen Leung · 1×
Citations per year

Countries citing papers authored by Jonathan DeCastro

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan DeCastro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan DeCastro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan DeCastro Line = papers co-authored together Jonathan DeCastro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201257
3 201756
4 202145
5 201442
6 200741
7 201731
8 201023
9 201523
10 201120
11 202017
12 201315
13 201012
14 201012
15 201612
16 201511
17 201910
18 20209
19 20209
20 20097

About Jonathan DeCastro

Jonathan DeCastro is a scholar working on Automotive Engineering, Computational Theory and Mathematics, Control and Systems Engineering, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 593 indexed citations. Recurring topics across this work include Formal Methods in Verification (13 papers), Autonomous Vehicle Technology and Safety (10 papers), Robotic Path Planning Algorithms (9 papers), Reinforcement Learning in Robotics (6 papers), Fault Detection and Control Systems (6 papers), Human-Automation Interaction and Safety (3 papers), Reliability and Maintenance Optimization (3 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Automotive Engineering (156 citations), Control and Systems Engineering (190 citations), Safety, Risk, Reliability and Quality (66 citations), Computational Theory and Mathematics (103 citations) and Computer Vision and Pattern Recognition (126 citations). Jonathan DeCastro has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Hadas Kress‐Gazit, Daniela L. Rus, Liang Dao Tang, Xiaodong Zhang, Vasumathi Raman, Guy Rosman, Javier Alonso–Mora, Kai Goebel, Liang Tang and Cristian-Ioan Vasile. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, IEEE Transactions on Industrial Electronics, Journal of Propulsion and Power 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.

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