Guido de Croon
- Aerospace Engineering top 0.2%
- Robotics and Sensor-Based Localization 48
- Biomimetic flight and propulsion mechanisms 45
- Aerospace Engineering and Energy Systems 20
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- Robotic Path Planning Algorithms 25
- Advanced Vision and Imaging 25
- Condensed Matter Physics top 5%
- Ocean Engineering top 1%
- Underwater Vehicles and Communication Systems 30
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- Advanced Memory and Neural Computing 14
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- Reinforcement Learning in Robotics 12
- Co-authors
- Christophe De WagterB. D. W. RemesEwoud J. J. SmeurR. RuijsinkFederico Paredes-VallésMatěj KarásekQiping ChuKimberly McGuire
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Guido de Croon
154 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Aerospace Engineering 2.4k
- Computer Vision and Pattern Recognition 930
- Condensed Matter Physics 328
- Ocean Engineering 426
- Control and Systems Engineering 563
Countries citing papers authored by Guido de Croon
This map shows the geographic impact of Guido de Croon'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 Guido de Croon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido de Croon more than expected).
Fields of papers citing papers by Guido de Croon
This network shows the impact of papers produced by Guido de Croon. 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 Guido de Croon. The network helps show where Guido de Croon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guido de Croon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 76 | |
| 14 | 2021 | 5 | |
| 15 | Learning to Seek: Deep Reinforcement Learning for Phototaxis of a Nano Drone in an Obstacle Field | 2019 | 4 |
| 16 | 2016 | 31 | |
| 17 | 2016 | 29 | |
| 18 | 2015 | 2 | |
| 19 | Local sampling for indoor flight | 2009 | 1 |
| 20 | FINT: Find Images aNd Text | 2004 | 1 |
About Guido de Croon
Guido de Croon is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 164 papers that have together received 3.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (48 papers), Biomimetic flight and propulsion mechanisms (45 papers), Underwater Vehicles and Communication Systems (30 papers), Robotic Path Planning Algorithms (25 papers), Advanced Vision and Imaging (25 papers), Aerospace Engineering and Energy Systems (20 papers), Advanced Memory and Neural Computing (14 papers) and Reinforcement Learning in Robotics (12 papers). The work is most often cited by research in Aerospace Engineering (2.4k citations), Computer Vision and Pattern Recognition (930 citations) and Condensed Matter Physics (328 citations). Guido de Croon has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Christophe De Wagter, B. D. W. Remes, Ewoud J. J. Smeur, R. Ruijsink, Federico Paredes-Vallés, Matěj Karásek, Qiping Chu, Kimberly McGuire, Florian T. Muijres and Q. P. Chu. Their work appears in journals such as Nature, Science and PLoS ONE.
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.