Anı́bal Matos
Impact in
- Ocean Engineering top 0.2%
- Underwater Vehicles and Communication Systems
- Maritime Navigation and Safety
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
Papers in
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- Underwater Vehicles and Communication Systems 86
- Maritime Navigation and Safety 27
-
- Robotics and Sensor-Based Localization 36
- Co-authors
- Nuno Cruz (68 shared papers)José Melo (10 shared papers)Bruno M. Ferreira (35 shared papers)Andry Maykol Pinto (19 shared papers)Фернандо Лобо Перейра (17 shared papers)Rui M. Almeida (9 shared papers)António Paulo Moreira (8 shared papers)Alfredo Martins (14 shared papers)
In The Last Decade
Anı́bal Matos
130 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 92
- Ocean Engineering 1.1k
- Aerospace Engineering 589
- Oceanography 282
- Computer Vision and Pattern Recognition 367
- Geology 68
Countries citing papers authored by Anı́bal Matos
This map shows the geographic impact of Anı́bal Matos'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 Anı́bal Matos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anı́bal Matos more than expected).
Fields of papers citing papers by Anı́bal Matos
This network shows the impact of papers produced by Anı́bal Matos. 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 Anı́bal Matos. The network helps show where Anı́bal Matos may publish in the future.
Co-authors
The 25 scholars most cited alongside Anı́bal Matos, 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 183 | |
| 2 | 2008 | 69 | |
| 3 | 2003 | 45 | |
| 4 | 2016 | 44 | |
| 5 | 2016 | 43 | |
| 6 | 2010 | 41 | |
| 7 | 2019 | 40 | |
| 8 | 2023 | 36 | |
| 9 | 2011 | 33 | |
| 10 | 2011 | 32 | |
| 11 | 2010 | 31 | |
| 12 | 2010 | 29 | |
| 13 | 2013 | 29 | |
| 14 | 2010 | 28 | |
| 15 | Zarco - An Autonomous Craft for Underwater Surveys | 2007 | 25 |
| 16 | 2020 | 24 | |
| 17 | 2005 | 24 | |
| 18 | 2002 | 23 | |
| 19 | 2008 | 23 | |
| 20 | 2021 | 22 |
About Anı́bal Matos
Anı́bal Matos is a scholar working on Ocean Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Oceanography and Artificial Intelligence, having authored 137 papers that have together received 1.6k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (86 papers), Robotics and Sensor-Based Localization (36 papers), Maritime Navigation and Safety (27 papers), Robotic Path Planning Algorithms (25 papers), Underwater Acoustics Research (19 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers), Indoor and Outdoor Localization Technologies (12 papers) and Adaptive Control of Nonlinear Systems (9 papers). The work is most often cited by research in Ocean Engineering (1.1k citations), Aerospace Engineering (589 citations), Oceanography (282 citations), Computer Vision and Pattern Recognition (367 citations) and Geology (68 citations). Anı́bal Matos has collaborated with scholars based in Portugal, Brazil and Italy. Frequent co-authors include Nuno Cruz, José Melo, Bruno M. Ferreira, Andry Maykol Pinto, Фернандо Лобо Перейра, Rui M. Almeida, António Paulo Moreira, Alfredo Martins, Daniel Campos and José Almeida. Their work appears in journals such as IEEE Access, Marine Technology Society Journal, Robotics and Autonomous Systems, Robotics and Autonomous Robots.
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.