José Pinto

1.6k total citations
63 papers, 1.2k citations indexed

About

José Pinto is a scholar working on Ocean Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, José Pinto has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Ocean Engineering, 26 papers in Computer Networks and Communications and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in José Pinto's work include Underwater Vehicles and Communication Systems (36 papers), Robotic Path Planning Algorithms (15 papers) and Maritime Navigation and Safety (11 papers). José Pinto is often cited by papers focused on Underwater Vehicles and Communication Systems (36 papers), Robotic Path Planning Algorithms (15 papers) and Maritime Navigation and Safety (11 papers). José Pinto collaborates with scholars based in Portugal, United States and Norway. José Pinto's co-authors include João Borges de Sousa, Paulo Sousa Dias, Ricardo Martins, P. Sean Morris, Jonas Söderlund, Eduardo R. B. Marques, João Fortuna, Kristin Y. Pettersen, Antónia Costa and Rui Gomes and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Control Systems Technology and IEEE Journal of Oceanic Engineering.

In The Last Decade

José Pinto

61 papers receiving 1.1k citations

Peers

José Pinto
Michael R. Benjamin United States
Zhe Xiao China
Lily Rachmawati Singapore
Victor Lobo Portugal
José Pinto
Citations per year, relative to José Pinto José Pinto (= 1×) peers Jiabao Wen

Countries citing papers authored by José Pinto

Since Specialization
Citations

This map shows the geographic impact of José Pinto'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 José Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Pinto more than expected).

Fields of papers citing papers by José Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Pinto. 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 José Pinto. The network helps show where José Pinto may publish in the future.

Co-authorship network of co-authors of José Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of José Pinto. A scholar is included among the top collaborators of José Pinto 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 José Pinto. José Pinto 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.
Madureira, Ana, et al.. (2025). Sonar-Based Deep Learning in Underwater Robotics: Overview, Robustness, and Challenges. IEEE Journal of Oceanic Engineering. 50(3). 1866–1884. 6 indexed citations
2.
Madureira, Ana, et al.. (2023). LSTS Toolchain Framework for Deep Learning Implementation into Autonomous Underwater Vehicle. 13. 1–6. 2 indexed citations
3.
Mendes, Renato, et al.. (2021). On the generation of internal waves by river plumes in subcritical initial conditions. Scientific Reports. 11(1). 1963–1963. 20 indexed citations
4.
Mendes, Renato, et al.. (2018). Using AUVs to study estuarine outflow stratification under severe environmental constraints. 1–5. 1 indexed citations
5.
Pinto, José, Renato Mendes, José C. B. da Silva, João Miguel Días, & João Borges de Sousa. (2018). Multiple Autonomous Vehicles Applied to Plume Detection and Tracking. 1–6. 8 indexed citations
6.
7.
Lefeber, Erjen, et al.. (2018). Trajectory Tracking and Path Following for Underactuated Marine Vehicles. IEEE Transactions on Control Systems Technology. 27(4). 1423–1437. 137 indexed citations
8.
Pinto, José, Paulo Sousa Dias, & João Borges de Sousa. (2018). Ripples: a tool for supervision and control of remote assets. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 10. 2 indexed citations
9.
Pinto, José, et al.. (2017). MvPlanning: A framework for planning and coordination of multiple autonomous vehicles. 3 indexed citations
10.
Chrpa, Lukáš, et al.. (2017). Mixed-initiative planning, replanning and execution: From concept to field testing using AUV fleets. 20. 6825–6830. 2 indexed citations
11.
Pinto, José, et al.. (2017). Networked vehicle systems: From vision to reality. OCEANS 2017 - Aberdeen. 1–6. 2 indexed citations
12.
Sousa, João Borges de, João Pereira, José Pinto, et al.. (2016). Rapid Environmental Picture Atlantic exercise 2015: A field report. 1–6. 16 indexed citations
13.
Pinto, José, et al.. (2014). Building oceanographic and atmospheric observation networks by composition: unmanned vehicles, communication networks, and planning and execution control frameworks. AGU Fall Meeting Abstracts. 2014. 2 indexed citations
14.
Pinto, José, Paulo Sousa Dias, Ricardo Martins, et al.. (2013). The LSTS toolchain for networked vehicle systems. 1–9. 123 indexed citations
15.
Sousa, A., José Braga, Pedro Calado, et al.. (2013). The light autonomous underwater vehicle: Evolutions and networking. 1–6. 31 indexed citations
16.
Morris, P. Sean, José Pinto, & Jonas Söderlund. (2012). The Oxford Handbook of Project Management. 47–48. 146 indexed citations
17.
Pinto, José, Pedro Calado, José Braga, et al.. (2012). Implementation of a Control Architecture for Networked Vehicle Systems. IFAC Proceedings Volumes. 45(5). 100–105. 38 indexed citations
18.
Goodrich, Michael A., et al.. (2011). Toward human interaction with bio-inspired teams. Adaptive Agents and Multi-Agents Systems. 1265–1266. 1 indexed citations
19.
Goodrich, Michael A., et al.. (2011). Toward human interaction with bio-inspired robot teams. 2859–2864. 32 indexed citations
20.
Pinto, José, et al.. (2010). Multiple UAV coalition formation strategies. Adaptive Agents and Multi-Agents Systems. 1503–1504. 4 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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