David Ribas
Impact in
- Ocean Engineering top 0.1%
- Underwater Vehicles and Communication Systems
- Maritime Navigation and Safety
- Aerospace Engineering top 0.5%
- Robotics and Sensor-Based Localization
Papers in
-
- Underwater Vehicles and Communication Systems 58
-
- Robotics and Sensor-Based Localization 51
- Co-authors
- Pere Ridao (61 shared papers)Marc Carreras (21 shared papers)Narcís Palomeras (18 shared papers)Angelos Mallios (19 shared papers)José Neira (5 shared papers)Albert Palomer (9 shared papers)Pedro J. Sanz (8 shared papers)Juan D. Tardós (4 shared papers)
- Journals
- Journal of Field Robotics (6 papers)Sensors (4 papers)IEEE/ASME Transactions on Mechatronics (3 papers)IEEE Robotics & Automation Magazine (2 papers)Annual Reviews in Control (2 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
David Ribas
67 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 97
- Ocean Engineering 2.0k
- Aerospace Engineering 1.5k
- Computer Vision and Pattern Recognition 976
- Oceanography 407
- Geology 117
Countries citing papers authored by David Ribas
This map shows the geographic impact of David Ribas'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 David Ribas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ribas more than expected).
Fields of papers citing papers by David Ribas
This network shows the impact of papers produced by David Ribas. 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 David Ribas. The network helps show where David Ribas may publish in the future.
Co-authors
The 25 scholars most cited alongside David Ribas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 247 | |
| 2 | 2008 | 155 | |
| 3 | 2018 | 154 | |
| 4 | 2010 | 114 | |
| 5 | 2014 | 112 | |
| 6 | 2015 | 108 | |
| 7 | 2019 | 99 | |
| 8 | 2015 | 98 | |
| 9 | 2014 | 97 | |
| 10 | 2006 | 92 | |
| 11 | 2014 | 89 | |
| 12 | 2015 | 84 | |
| 13 | 2013 | 79 | |
| 14 | 2011 | 77 | |
| 15 | 2013 | 63 | |
| 16 | 2016 | 62 | |
| 17 | 2019 | 62 | |
| 18 | 2010 | 58 | |
| 19 | 2010 | 54 | |
| 20 | 2018 | 53 |
About David Ribas
David Ribas is a scholar working on Ocean Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Oceanography and Electrical and Electronic Engineering, having authored 68 papers that have together received 2.7k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (58 papers), Robotics and Sensor-Based Localization (51 papers), Robotic Path Planning Algorithms (24 papers), Underwater Acoustics Research (12 papers), Indoor and Outdoor Localization Technologies (10 papers), Water Quality Monitoring Technologies (7 papers), Modular Robots and Swarm Intelligence (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). The work is most often cited by research in Ocean Engineering (2.0k citations), Aerospace Engineering (1.5k citations), Computer Vision and Pattern Recognition (976 citations), Oceanography (407 citations) and Geology (117 citations). David Ribas has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Pere Ridao, Marc Carreras, Narcís Palomeras, Angelos Mallios, José Neira, Albert Palomer, Pedro J. Sanz, Juan D. Tardós, Gabriel Oliver and Yvan Pétillot. Their work appears in journals such as Journal of Field Robotics, Sensors, IEEE/ASME Transactions on Mechatronics, IEEE Robotics & Automation Magazine and Annual Reviews in Control.
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.