Mario Ortí Mata

49 total papers · 710 total citations
20 papers, 478 citations indexed

About

Mario Ortí Mata is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Mario Ortí Mata has authored 20 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 6 papers in Automotive Engineering. Recurrent topics in Mario Ortí Mata's work include Robotics and Sensor-Based Localization (7 papers), Autonomous Vehicle Technology and Safety (6 papers) and Robotic Path Planning Algorithms (5 papers). Mario Ortí Mata is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Autonomous Vehicle Technology and Safety (6 papers) and Robotic Path Planning Algorithms (5 papers). Mario Ortí Mata collaborates with scholars based in Spain, United Kingdom and Argentina. Mario Ortí Mata's co-authors include José María Armingol, Arturo de la Escalera, Miguel Á. Salichs, Javier Fernández Andrés, Nourdine Aliane, María Jesús López Boada, Ramón Barber, Colin Harrison, David Semple and Fernando Cantalapiedra and has published in prestigious journals such as Sensors, Image and Vision Computing and Robotica.

In The Last Decade

Mario Ortí Mata

17 papers receiving 424 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mario Ortí Mata 335 150 88 83 78 20 478
Miguel Ángel García-Garrido 354 1.1× 121 0.8× 114 1.3× 96 1.2× 97 1.2× 15 487
M. Pellkofer 402 1.2× 159 1.1× 179 2.0× 55 0.7× 69 0.9× 10 527
Pier Paolo Porta 347 1.0× 100 0.7× 216 2.5× 84 1.0× 71 0.9× 17 466
Lili Fan 181 0.5× 90 0.6× 65 0.7× 55 0.7× 34 0.4× 48 456
Xiaokang Jin 367 1.1× 175 1.2× 30 0.3× 48 0.6× 37 0.5× 9 495
Chengyang Li 330 1.0× 118 0.8× 34 0.4× 114 1.4× 53 0.7× 18 517
Riadh Ayachi 346 1.0× 93 0.6× 47 0.5× 24 0.3× 49 0.6× 35 495
Pedro Revenga 247 0.7× 64 0.4× 94 1.1× 40 0.5× 81 1.0× 32 454
Morten B. Jensen 268 0.8× 43 0.3× 125 1.4× 48 0.6× 49 0.6× 17 425
Ahmed Gomaa 276 0.8× 77 0.5× 42 0.5× 98 1.2× 43 0.6× 24 450

Countries citing papers authored by Mario Ortí Mata

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ortí Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Ortí Mata

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Ortí Mata. A scholar is included among the top collaborators of Mario Ortí Mata 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 Mario Ortí Mata. Mario Ortí Mata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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