Juan David Hernández
- Ocean Engineering top 1%
- Underwater Vehicles and Communication Systems 17
- Maritime Navigation and Safety 4
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- Robotic Path Planning Algorithms 26
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 15
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning 7
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- Reinforcement Learning in Robotics 5
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- Social Robot Interaction and HRI 3
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- Modular Robots and Swarm Intelligence 2
- Co-authors
- Marc CarrerasEduard VidalNarcís PalomerasPere RidaoLydia E. KavrakiDavid RibasMark MollÈric Pairet
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (1 paper)Sensors (3 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Juan David Hernández
34 papers receiving 619 citations
Peers
Comparison fields: 5 of 60
- Ocean Engineering 374
- Computer Vision and Pattern Recognition 377
- Aerospace Engineering 249
- Control and Systems Engineering 131
- Oceanography 44
Countries citing papers authored by Juan David Hernández
This map shows the geographic impact of Juan David Hernández'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 Juan David Hernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan David Hernández more than expected).
Fields of papers citing papers by Juan David Hernández
This network shows the impact of papers produced by Juan David Hernández. 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 Juan David Hernández. The network helps show where Juan David Hernández may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juan David Hernández, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 5 | |
| 5 | Online Mapping and Motion Planning Under Uncertainty for Safe Navigation in Unknown Environments | 2022 | 21 |
| 6 | 2022 | 1 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 4 | |
| 10 | 2019 | 21 | |
| 11 | 2019 | 23 | |
| 12 | 2018 | 8 | |
| 13 | 2017 | 6 | |
| 14 | 2016 | 54 | |
| 15 | 2016 | 37 | |
| 16 | Smart and networking underwater robots in cooperation meshes : the swarms ECSEL : H2020 project | 2016 | 8 |
| 17 | 2015 | 3 | |
| 18 | 2013 | 4 | |
| 19 | 2013 | 32 | |
| 20 | 2006 | 7 |
About Juan David Hernández
Juan David Hernández is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Aerospace Engineering, having authored 36 papers that have together received 637 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (26 papers), Underwater Vehicles and Communication Systems (17 papers), Robotics and Sensor-Based Localization (15 papers), Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (5 papers), Maritime Navigation and Safety (4 papers), Social Robot Interaction and HRI (3 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Ocean Engineering (374 citations), Computer Vision and Pattern Recognition (377 citations) and Aerospace Engineering (249 citations). Juan David Hernández has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Marc Carreras, Eduard Vidal, Narcís Palomeras, Pere Ridao, Lydia E. Kavraki, David Ribas, Mark Moll, Èric Pairet, Guillem Vallicrosa and Enric Galceran. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.