Anı́bal Matos

2.3k total citations
137 papers, 1.6k citations indexed

About

Anı́bal Matos is a scholar working on Ocean Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anı́bal Matos has authored 137 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Ocean Engineering, 52 papers in Aerospace Engineering and 35 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anı́bal Matos's work include Underwater Vehicles and Communication Systems (86 papers), Robotics and Sensor-Based Localization (36 papers) and Maritime Navigation and Safety (27 papers). Anı́bal Matos is often cited by papers focused on Underwater Vehicles and Communication Systems (86 papers), Robotics and Sensor-Based Localization (36 papers) and Maritime Navigation and Safety (27 papers). Anı́bal Matos collaborates with scholars based in Portugal, Brazil and Denmark. Anı́bal Matos's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Anı́bal Matos

130 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anı́bal Matos Portugal 21 1.1k 589 367 303 282 137 1.6k
Sajad Saeedi Canada 17 1.2k 1.1× 1.0k 1.8× 633 1.7× 478 1.6× 381 1.4× 44 2.0k
Nuno Cruz Portugal 20 900 0.8× 312 0.5× 188 0.5× 245 0.8× 226 0.8× 124 1.2k
Riccardo Costanzi Italy 19 1.0k 0.9× 529 0.9× 205 0.6× 250 0.8× 280 1.0× 94 1.3k
Jinwhan Kim South Korea 24 1.2k 1.1× 656 1.1× 515 1.4× 276 0.9× 134 0.5× 162 2.0k
Ye Li China 24 1.2k 1.1× 584 1.0× 521 1.4× 197 0.7× 198 0.7× 171 2.0k
Daniel Toal Ireland 21 891 0.8× 563 1.0× 498 1.4× 367 1.2× 115 0.4× 136 1.9k
Narcís Palomeras Spain 27 1.5k 1.4× 906 1.5× 923 2.5× 166 0.5× 266 0.9× 96 2.3k
Mae Seto Canada 21 1.6k 1.4× 1.2k 2.0× 700 1.9× 510 1.7× 449 1.6× 87 2.6k
Nikola Mišković Croatia 19 973 0.9× 298 0.5× 328 0.9× 105 0.3× 163 0.6× 141 1.5k
Hyun‐Taek Choi South Korea 15 677 0.6× 382 0.6× 342 0.9× 170 0.6× 160 0.6× 122 1.1k

Countries citing papers authored by Anı́bal Matos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anı́bal Matos

This figure shows the co-authorship network connecting the top 25 collaborators of Anı́bal Matos. A scholar is included among the top collaborators of Anı́bal Matos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anı́bal Matos. Anı́bal Matos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Almeida, José, et al.. (2025). Real-Time Registration of 3D Underwater Sonar Scans. Robotics. 14(2). 13–13.
2.
Campilho, R.D.S.G., et al.. (2025). Raya: A Bio-Inspired AUV for Inspection and Intervention of Underwater Structures. IEEE Access. 13. 71253–71274.
3.
Navarro, Luiz Cláudio, et al.. (2024). Predicting weight dispersion in seabass aquaculture using Discrete Event System simulation and Machine Learning modeling. Aquaculture Reports. 38. 102315–102315. 4 indexed citations
4.
Pinto, Andry Maykol, et al.. (2023). Procedural Point Cloud Modelling in Scan-to-BIM and Scan-vs-BIM Applications: A Review. ISPRS International Journal of Geo-Information. 12(7). 260–260. 36 indexed citations
5.
Matos, Anı́bal, et al.. (2023). Feature-Based Place Recognition Using Forward-Looking Sonar. Journal of Marine Science and Engineering. 11(11). 2198–2198. 2 indexed citations
6.
Matos, Anı́bal, et al.. (2023). Improving Semantic Segmentation Performance in Underwater Images. Journal of Marine Science and Engineering. 11(12). 2268–2268.
7.
Campos, Daniel, Anı́bal Matos, & Andry Maykol Pinto. (2022). Modular Multi-Domain Aware Autonomous Surface Vehicle for Inspection. IEEE Access. 10. 113355–113375. 10 indexed citations
8.
Matos, Anı́bal, et al.. (2020). MViDO: A High Performance Monocular Vision-Based System for Docking A Hovering AUV. Applied Sciences. 10(9). 2991–2991. 12 indexed citations
9.
Silva, Hugo, et al.. (2020). Deep Learning for Underwater Visual Odometry Estimation. IEEE Access. 8. 44687–44701. 24 indexed citations
10.
Silva, M. F., et al.. (2020). Project and Control Allocation of a 3 DoF Autonomous Surface Vessel With Aerial Azimuth Propulsion System. IEEE Access. 9. 5212–5227. 11 indexed citations
11.
Melo, José & Anı́bal Matos. (2019). A data‐driven particle filter for terrain based navigation of sensor‐limited autonomous underwater vehicles. Asian Journal of Control. 21(4). 1659–1670. 14 indexed citations
12.
Cruz, Nuno, Anı́bal Matos, Rui M. Almeida, & Bruno M. Ferreira. (2017). DART — A portable deep water hovering AUV. 5 indexed citations
13.
Campos, Rui, et al.. (2016). BLUECOM+: Cost-effective broadband communications at remote ocean areas. OCEANS 2016 - Shanghai. 1–6. 44 indexed citations
14.
Matos, Anı́bal, et al.. (2013). Raspberry PI based stereo vision for small size ASVs. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–6. 12 indexed citations
15.
Martins, Alfredo, André Dias, José Almeida, et al.. (2013). Field experiments for marine casualty detection with autonomous surface vehicles. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 11 indexed citations
16.
Matos, Anı́bal, Eduardo Silva, Nuno Cruz, et al.. (2013). Development of an Unmanned Capsule for large-scale maritime search and rescue. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–8. 16 indexed citations
17.
Pinto, Miguel, Bruno M. Ferreira, Héber Sobreira, Anı́bal Matos, & Nuno Cruz. (2013). Spline navigation and reactive collision avoidance with COLREGs for ASVs. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–9. 1 indexed citations
18.
Cruz, Nuno, et al.. (2011). TriMARES - A hybrid AUV/ROV for dam inspection. 1–7. 32 indexed citations
19.
Ferreira, Bruno M., et al.. (2009). Using side scan sonar to relative navigation. 1–9. 3 indexed citations
20.
Cruz, Nuno, Anı́bal Matos, João Borges de Sousa, et al.. (2003). Operations with Multiple Autonomous Underwater Vehicles: the PISCIS Project. 10(8). 346–54. 13 indexed citations

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.

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