Mario Prats

1.0k citations
33 papers · 710 · h-index 14

Impact in

Papers in

Mario Prats

33 papers receiving 685 citations

Peers

Mario Prats
Comparison fields: 5 of 67
  • Ocean Engineering 360
  • Computer Vision and Pattern Recognition 263
  • Control and Systems Engineering 282
  • Aerospace Engineering 226
  • Human-Computer Interaction 27
Replace Junku Yuh with:
Junku Yuh United States
Vincent Creuze France
Michael Cashmore United Kingdom
Tom Larkworthy United Kingdom
Javier Pérez Spain
Daxiong Ji China
Terry Huntsberger United States
Beom-Hee Lee South Korea
P.J. Probert United Kingdom
Luciano Nava‐Balanzar Mexico
Mario Prats relative to Junku Yuh United States Junku Yuh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mario Prats

Since Specialization
Citations

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

Fields of papers citing papers by Mario Prats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mario Prats, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Prats Line = papers co-authored together Mario Prats links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012177
2 201380
3 201177
4 200740
5 200932
6 201128
7 201227
8
Recent progress in the RAUVI project: A Reconfigurable autonomous underwater vehicle for intervention
201023
9 201023
10 201222
11 200821
12 200818
13 200718
14 201215
15 200512
16 201311
17 201311
18 200911
19 201510
20 20119

About Mario Prats

Mario Prats is a scholar working on Control and Systems Engineering, Biomedical Engineering, Ocean Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 33 papers that have together received 710 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (19 papers), Underwater Vehicles and Communication Systems (11 papers), Soft Robotics and Applications (10 papers), Robotics and Sensor-Based Localization (9 papers), Teleoperation and Haptic Systems (8 papers), Robotic Path Planning Algorithms (7 papers), Robotic Mechanisms and Dynamics (4 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Ocean Engineering (360 citations), Computer Vision and Pattern Recognition (263 citations), Control and Systems Engineering (282 citations), Aerospace Engineering (226 citations) and Human-Computer Interaction (27 citations). Mario Prats has collaborated with scholars based in Spain, South Korea and United States. Frequent co-authors include Pedro J. Sanz, J. Fernández, Ángel P. del Pobil, Javier Pérez, J.C. García, R. Marı́n, Pere Ridao, David Ribas, Philippe Martinet and Sukhan Lee. Their work appears in journals such as Intelligent Service Robotics, IEEE Robotics & Automation Magazine, Autonomous Robots, Revista Iberoamericana de Automática e Informática Industrial RIAI and Archivos de la Sociedad Española de Oftalmología.

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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