Javier Hidalgo‐Carrió
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- Advanced Vision and Imaging 3
- Robotic Path Planning Algorithms 2
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 6
- Space Exploration and Technology 1
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- Modular Robots and Swarm Intelligence 3
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- Planetary Science and Exploration 2
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- Target Tracking and Data Fusion in Sensor Networks 2
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- CCD and CMOS Imaging Sensors 1
- Co-authors
- Davide ScaramuzzaGuillermo GallegoMathias GehrigDaniel GehrigFrank KirchnerPantelis PoulakisGiovanni CioffiDaniel Hennes
- Journals
- IEEE Robotics and Automation Letters (2 papers)Journal of Field Robotics (1 paper)IEEE Robotics & Automation Magazine (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Javier Hidalgo‐Carrió
12 papers receiving 257 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 122
- Instrumentation 19
- Aerospace Engineering 112
- Acoustics and Ultrasonics 2
- Media Technology 18
Countries citing papers authored by Javier Hidalgo‐Carrió
This map shows the geographic impact of Javier Hidalgo‐Carrió'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 Javier Hidalgo‐Carrió with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Hidalgo‐Carrió more than expected).
Fields of papers citing papers by Javier Hidalgo‐Carrió
This network shows the impact of papers produced by Javier Hidalgo‐Carrió. 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 Javier Hidalgo‐Carrió. The network helps show where Javier Hidalgo‐Carrió may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Javier Hidalgo‐Carrió, 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 | 2023 | 31 | |
| 2 | 2022 | 10 | |
| 3 | 2022 | 65 | |
| 4 | 2022 | 6 | |
| 5 | Concept, Development and Testing of Mars Rover Prototypes for ESA Planetary Exploration | 2021 | 1 |
| 6 | 2021 | 94 | |
| 7 | Video to Events: Bringing Modern Computer Vision Closer to Event Cameras. | 2019 | 6 |
| 8 | 2018 | 12 | |
| 9 | InFuse : a comprehensive framework for data fusion in space robotics | 2017 | 1 |
| 10 | 2017 | 16 | |
| 11 | 2016 | 13 | |
| 12 | 2014 | 8 |
About Javier Hidalgo‐Carrió
Javier Hidalgo‐Carrió is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Instrumentation, having authored 12 papers that have together received 263 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Modular Robots and Swarm Intelligence (3 papers), Advanced Vision and Imaging (3 papers), Planetary Science and Exploration (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Robotic Path Planning Algorithms (2 papers), CCD and CMOS Imaging Sensors (1 paper) and Space Exploration and Technology (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (122 citations), Instrumentation (19 citations) and Aerospace Engineering (112 citations). Javier Hidalgo‐Carrió has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Davide Scaramuzza, Guillermo Gallego, Mathias Gehrig, Daniel Gehrig, Frank Kirchner, Pantelis Poulakis, Giovanni Cioffi, Daniel Hennes, Jeff Delaune and Carlos J. Pérez-del-Pulgar. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Field Robotics, IEEE Robotics & Automation Magazine, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.