David Ribas

3.6k total citations
68 papers, 2.7k citations indexed

About

David Ribas is a scholar working on Ocean Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Ribas has authored 68 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Ocean Engineering, 52 papers in Aerospace Engineering and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Ribas's work include Underwater Vehicles and Communication Systems (58 papers), Robotics and Sensor-Based Localization (51 papers) and Robotic Path Planning Algorithms (24 papers). David Ribas is often cited by papers focused on Underwater Vehicles and Communication Systems (58 papers), Robotics and Sensor-Based Localization (51 papers) and Robotic Path Planning Algorithms (24 papers). David Ribas collaborates with scholars based in Spain, United States and United Kingdom. David Ribas's 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 and has published in prestigious journals such as Sensors, Journal of Periodontology and IEEE/ASME Transactions on Mechatronics.

In The Last Decade

David Ribas

67 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Ribas Spain 30 2.0k 1.4k 967 402 374 68 2.7k
Gabriel Oliver Spain 27 1.3k 0.7× 1.2k 0.9× 1.3k 1.3× 320 0.8× 318 0.9× 116 2.6k
Narcís Palomeras Spain 27 1.5k 0.7× 906 0.6× 923 1.0× 266 0.7× 166 0.4× 96 2.3k
Mae Seto Canada 21 1.6k 0.8× 1.2k 0.8× 700 0.7× 449 1.1× 510 1.4× 87 2.6k
Sajad Saeedi Canada 17 1.2k 0.6× 1.0k 0.7× 633 0.7× 381 0.9× 478 1.3× 44 2.0k
Andrea Caiti Italy 27 2.0k 1.0× 588 0.4× 539 0.6× 729 1.8× 589 1.6× 236 3.0k
Pere Ridao Spain 41 3.5k 1.7× 2.2k 1.5× 1.8k 1.9× 550 1.4× 555 1.5× 189 4.9k
Massimo Caccia Italy 25 1.8k 0.9× 669 0.5× 836 0.9× 193 0.5× 118 0.3× 199 2.7k
Ioannis Rekleitis United States 31 744 0.4× 1.9k 1.3× 1.6k 1.7× 126 0.3× 527 1.4× 115 3.1k
Daniel Toal Ireland 21 891 0.4× 563 0.4× 498 0.5× 115 0.3× 367 1.0× 136 1.9k
Jinwhan Kim South Korea 24 1.2k 0.6× 656 0.5× 515 0.5× 134 0.3× 276 0.7× 162 2.0k

Countries citing papers authored by David Ribas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Ribas

This figure shows the co-authorship network connecting the top 25 collaborators of David Ribas. A scholar is included among the top collaborators of David Ribas 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 David Ribas. David Ribas 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.
Palomer, Albert, et al.. (2018). 3D Laser Scanner for Underwater Manipulation. Sensors. 18(4). 1086–1086. 51 indexed citations
2.
Carreras, Marc, David Ribas, Narcís Palomeras, et al.. (2018). Testing SPARUS II AUV, an open platform for industrial, scientific and academic applications. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 54–55. 4 indexed citations
3.
Ribas, David, et al.. (2017). Eosinophil cationic protein and histamine production by neutrophils from patients with periodontitis. Journal of Periodontology. 89(2). 228–234. 13 indexed citations
4.
Palomer, Albert, Pere Ridao, & David Ribas. (2016). Multibeam 3D Underwater SLAM with Probabilistic Registration. Sensors. 16(4). 560–560. 62 indexed citations
5.
Bosch, Josep, et al.. (2016). Close-Range Tracking of Underwater Vehicles Using Light Beacons. Sensors. 16(4). 429–429. 34 indexed citations
6.
Vallicrosa, Guillem, Pere Ridao, David Ribas, & Albert Palomer. (2014). Active Range-Only beacon localization for AUV homing. 2286–2291. 25 indexed citations
7.
Carreras, Marc, David Ribas, Angelos Mallios, et al.. (2013). Sparus II, design of a lightweight hovering AUV. RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 39. 21 indexed citations
8.
Martín-Prats, María A., J.C. García, Stephan Wirth, et al.. (2012). Multipurpose autonomous underwater intervention: A systems integration perspective. 1379–1384. 35 indexed citations
9.
Carreras, Marc, Pere Ridao, Rafael García, David Ribas, & Narcís Palomeras. (2012). Inspección visual subacuática mediante robótica submarina. Revista Iberoamericana de Automática e Informática Industrial RIAI. 9(1). 34–45. 3 indexed citations
10.
Nomikou, Paraskevi, J. Escartı́n, Valérie Ballu, et al.. (2012). Preliminary submarine monitoring of Santorini Caldera: Hydrothermal activity, and seafloor deformation. 1 indexed citations
11.
Ribas, David, Narcís Palomeras, Pere Ridao, Marc Carreras, & Angelos Mallios. (2011). Girona 500 AUV: From Survey to Intervention. IEEE/ASME Transactions on Mechatronics. 17(1). 46–53. 246 indexed citations
12.
Ridao, Pere, et al.. (2011). USBL/DVL navigation through delayed position fixes. 2344–2349. 20 indexed citations
13.
Sanz, Pedro J., Mario Prats, Pere Ridao, et al.. (2010). Recent progress in the RAUVI project: A Reconfigurable autonomous underwater vehicle for intervention. Repositori UJI (Universitat Jaume I). 471–474. 23 indexed citations
14.
Mallios, Angelos, Pere Ridao, David Ribas, Francesco Maurelli, & Yvan Pétillot. (2010). EKF-SLAM for AUV navigation under probabilistic sonar scan-matching. 4404–4411. 54 indexed citations
15.
Mallios, Angelos, Pere Ridao, David Ribas, & Emili Hernández. (2010). Probabilistic sonar scan matching SLAM for underwater environment. OCEANS'10 IEEE SYDNEY. 1. 1–8. 15 indexed citations
16.
Ribas, David, et al.. (2009). Vision based localization system for AUV docking on subsea intervention panels. 1–10. 13 indexed citations
17.
Kazmi, Wajahat, Pere Ridao, David Ribas, & Eric M. Hernandez. (2009). Dam wall detection and tracking using a Mechanically Scanned Imaging Sonar. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 15 indexed citations
18.
Mallios, Angelos, Pere Ridao, Emili Hernández, & David Ribas. (2009). Pose-based slam with probabilistic scan matching algorithm using a mechanical scanned imaging sonar. QRU Quaderns de Recerca en Urbanisme. 32–32. 3 indexed citations
19.
Ribas, David, Pere Ridao, José Neira, & Juan D. Tardós. (2006). SLAM using an Imaging Sonar for Partially Structured Underwater Environments. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 5040–5045. 92 indexed citations
20.
Ribas, David, Marta Muñoz, Margarida Casadevall, & Luís Gil de Sola. (2006). How does the northern Mediterranean population of Helicolenus dactylopterus dactylopterus resist fishing pressure?. Fisheries Research. 79(3). 285–293. 19 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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