Fernando Cladera
Impact in
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotics and Sensor-Based Localization 6
- UAV Applications and Optimization 2
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- Robotic Path Planning Algorithms 2
- Advanced Neural Network Applications 2
- Co-authors
- V Vineeth Kumar (10 shared papers)Camillo Jose Taylor (9 shared papers)Xu Liu (4 shared papers)Ian D. Miller (5 shared papers)Alex Zhou (3 shared papers)Steven W. Chen (2 shared papers)Chao Qu (2 shared papers)Trey Smith (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (4 papers)IEEE Micro (1 paper)arXiv (Cornell University) (1 paper)OCEANS 2022, Hampton Roads (1 paper)
- Partner nations
- United StatesFranceBrazil
In The Last Decade
Fernando Cladera
18 papers receiving 324 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 146
- Aerospace Engineering 148
- Geology 21
- Environmental Engineering 39
- Computer Networks and Communications 45
Countries citing papers authored by Fernando Cladera
This map shows the geographic impact of Fernando Cladera'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 Fernando Cladera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Cladera more than expected).
Fields of papers citing papers by Fernando Cladera
This network shows the impact of papers produced by Fernando Cladera. 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 Fernando Cladera. The network helps show where Fernando Cladera may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Cladera, 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 | 2022 | 77 | |
| 2 | 2022 | 41 | |
| 3 | 2023 | 40 | |
| 4 | 2023 | 38 | |
| 5 | 2022 | 35 | |
| 6 | 2022 | 24 | |
| 7 | 2020 | 17 | |
| 8 | 2024 | 14 | |
| 9 | 2023 | 12 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 9 | |
| 12 | 2024 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2015 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Fernando Cladera
Fernando Cladera is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Ocean Engineering, having authored 19 papers that have together received 337 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Advanced Memory and Neural Computing (4 papers), CCD and CMOS Imaging Sensors (2 papers), Robotic Path Planning Algorithms (2 papers), UAV Applications and Optimization (2 papers), Advanced Neural Network Applications (2 papers), Age of Information Optimization (2 papers) and Advanced Wireless Communication Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (146 citations), Aerospace Engineering (148 citations), Geology (21 citations), Environmental Engineering (39 citations) and Computer Networks and Communications (45 citations). Fernando Cladera has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include V Vineeth Kumar, Camillo Jose Taylor, Xu Liu, Ian D. Miller, Alex Zhou, Steven W. Chen, Chao Qu, Trey Smith, M. Ani Hsieh and Kostas Daniilidis. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Micro, arXiv (Cornell University) and OCEANS 2022, Hampton Roads.
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.