Gabriel Oliver

3.6k total citations · 1 hit paper
116 papers, 2.6k citations indexed

About

Gabriel Oliver is a scholar working on Ocean Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gabriel Oliver has authored 116 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Ocean Engineering, 65 papers in Aerospace Engineering and 46 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gabriel Oliver's work include Underwater Vehicles and Communication Systems (75 papers), Robotics and Sensor-Based Localization (62 papers) and Robotic Path Planning Algorithms (23 papers). Gabriel Oliver is often cited by papers focused on Underwater Vehicles and Communication Systems (75 papers), Robotics and Sensor-Based Localization (62 papers) and Robotic Path Planning Algorithms (23 papers). Gabriel Oliver collaborates with scholars based in Spain, United Kingdom and United States. Gabriel Oliver's co-authors include Alberto Ortiz, Francisco Bonin‐Font, Antoni Burguera, Miquel Massot‐Campos, Yolanda González-Cid, Bartolomé Garau, Alberto Álvarez, Pedro J. Sanz, Pere Ridao and David Ribas and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Gabriel Oliver

111 papers receiving 2.5k citations

Hit Papers

Visual Navigation for Mobile Robots: A Survey 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Oliver Spain 27 1.3k 1.3k 1.2k 320 318 116 2.6k
David Ribas Spain 30 2.0k 1.5× 967 0.8× 1.4k 1.2× 402 1.3× 374 1.2× 68 2.7k
Narcís Palomeras Spain 27 1.5k 1.1× 923 0.7× 906 0.7× 266 0.8× 166 0.5× 96 2.3k
Mae Seto Canada 21 1.6k 1.2× 700 0.5× 1.2k 1.0× 449 1.4× 510 1.6× 87 2.6k
Liam Paull Canada 22 1.3k 1.0× 914 0.7× 1.2k 0.9× 402 1.3× 699 2.2× 64 2.6k
Massimo Caccia Italy 25 1.8k 1.4× 836 0.7× 669 0.5× 193 0.6× 118 0.4× 199 2.7k
Anı́bal Matos Portugal 21 1.1k 0.8× 367 0.3× 589 0.5× 282 0.9× 303 1.0× 137 1.6k
Stephen M. Rock United States 29 1.0k 0.8× 1.4k 1.1× 1.5k 1.2× 243 0.8× 179 0.6× 150 3.1k
Jinwhan Kim South Korea 24 1.2k 0.9× 515 0.4× 656 0.5× 134 0.4× 276 0.9× 162 2.0k
Daniel Toal Ireland 21 891 0.7× 498 0.4× 563 0.5× 115 0.4× 367 1.2× 136 1.9k
Ye Li China 24 1.2k 0.9× 521 0.4× 584 0.5× 198 0.6× 197 0.6× 171 2.0k

Countries citing papers authored by Gabriel Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Oliver

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Oliver. A scholar is included among the top collaborators of Gabriel Oliver 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 Gabriel Oliver. Gabriel Oliver 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.
Bonin‐Font, Francisco, et al.. (2024). Measuring the temporal evolution of seagrass Posidonia oceanica coverage using autonomous marine robots and Deep Learning. Estuarine Coastal and Shelf Science. 312. 109029–109029.
2.
Bonin‐Font, Francisco, et al.. (2023). Evolving Real-time Stereo Odometry for AUV Navigation in Challenging Marine Environments. Journal of Intelligent & Robotic Systems. 108(4). 3 indexed citations
3.
Massot‐Campos, Miquel, et al.. (2023). Assessing benthic marine habitats colonized with posidonia oceanica using autonomous marine robots and deep learning: A Eurofleets campaign. Estuarine Coastal and Shelf Science. 291. 108438–108438. 2 indexed citations
4.
Oliver, Gabriel, et al.. (2022). Xiroi II, an Evolved ASV Platform for Marine Multirobot Operations. Sensors. 23(1). 109–109. 6 indexed citations
5.
Bonin‐Font, Francisco, et al.. (2021). Adaptive Visual Information Gathering for Autonomous Exploration of Underwater Environments. IEEE Access. 9. 136487–136506. 13 indexed citations
6.
Bonin‐Font, Francisco, et al.. (2018). Evaluating the impact of sewage discharges on the marine environment with a lightweight AUV. Marine Pollution Bulletin. 135. 714–722. 18 indexed citations
7.
Oliver, Gabriel, et al.. (2017). Multi-Robot Coalitions Formation with Deadlines: Complexity Analysis and Solutions. PLoS ONE. 12(1). e0170659–e0170659. 17 indexed citations
8.
Burguera, Antoni & Gabriel Oliver. (2016). High-Resolution Underwater Mapping Using Side-Scan Sonar. PLoS ONE. 11(1). e0146396–e0146396. 54 indexed citations
9.
Burguera, Antoni, Francisco Bonin‐Font, & Gabriel Oliver. (2015). Towards robust image registration for underwater visual SLAM. 3. 539–544. 1 indexed citations
10.
Massot‐Campos, Miquel & Gabriel Oliver. (2014). Underwater Laser-based Structured Light System for one-shot 3D reconstruction. ePrints Soton (University of Southampton). 1138–1141. 35 indexed citations
11.
Burguera, Antoni, Francisco Bonin‐Font, & Gabriel Oliver. (2014). Towards Robust Image Registration for Underwater Visual SLAM. 539–544. 7 indexed citations
12.
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
13.
Burguera, Antoni, et al.. (2011). Imaging Systems for Advanced Underwater Vehicles. Journal of maritime research. 8(1). 65–86. 53 indexed citations
14.
Burguera, Antoni, Yolanda González-Cid, & Gabriel Oliver. (2011). Underwater SLAM with robocentric trajectory using a mechanically scanned imaging sonar. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 13 indexed citations
15.
Javadi, Alireza, Gabriel Oliver, & Frédéric Sirois. (2010). A real-time power Hardware-in-the-Loop implementation of an active filter. PRZEGLĄD ELEKTROTECHNICZNY. 7–12. 9 indexed citations
16.
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
17.
González-Cid, Yolanda, Gabriel Oliver, & Antoni Burguera. (2010). Underwater Scan Matching using a Mechanical Scanned Imaging Sonar. IFAC Proceedings Volumes. 43(16). 377–382. 9 indexed citations
18.
Burguera, Antoni, Gabriel Oliver, & Yolanda González-Cid. (2010). A measurement model for mobile robot localization using underwater acoustic images. Zenodo (CERN European Organization for Nuclear Research). 3. 1–4.
19.
Ortiz, Alberto, et al.. (2005). A PFM-based control architecture for a visually guided underwater cable tracker to achieve navigation in troublesome scenarios. Journal of maritime research. 2(1). 33–50. 2 indexed citations
20.
Ortiz, Alberto, et al.. (2002). A vision system for an underwater cable tracker. Machine Vision and Applications. 13(3). 129–140. 89 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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