Óscar Reinoso

2.8k total citations
165 papers, 1.8k citations indexed

About

Óscar Reinoso is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Óscar Reinoso has authored 165 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Vision and Pattern Recognition, 80 papers in Aerospace Engineering and 41 papers in Control and Systems Engineering. Recurrent topics in Óscar Reinoso's work include Robotics and Sensor-Based Localization (78 papers), Advanced Image and Video Retrieval Techniques (63 papers) and Advanced Vision and Imaging (45 papers). Óscar Reinoso is often cited by papers focused on Robotics and Sensor-Based Localization (78 papers), Advanced Image and Video Retrieval Techniques (63 papers) and Advanced Vision and Imaging (45 papers). Óscar Reinoso collaborates with scholars based in Spain, United Kingdom and Germany. Óscar Reinoso's co-authors include Arturo Gil, Luis Payá, Miguel Juliá, Rafaél Aracil, Mónica Ballesta, Roque Saltarén, Adrián Peidró, José María Marín, Óscar Martínez Mozos and Luís Jiménez and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Automatica.

In The Last Decade

Óscar Reinoso

141 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Óscar Reinoso Spain 22 904 843 475 436 329 165 1.8k
Cosmin Copot Belgium 17 826 0.9× 472 0.6× 801 1.7× 147 0.3× 108 0.3× 101 1.6k
R. Marı́n Spain 17 341 0.4× 217 0.3× 334 0.7× 409 0.9× 164 0.5× 113 1.2k
František Duchoň Slovakia 17 776 0.9× 534 0.6× 529 1.1× 198 0.5× 167 0.5× 83 1.4k
Guohui Tian China 21 758 0.8× 304 0.4× 410 0.9× 144 0.3× 200 0.6× 176 1.5k
Juan‐Antonio Fernández‐Madrigal Spain 25 792 0.9× 853 1.0× 351 0.7× 182 0.4× 82 0.2× 67 1.8k
Mehran Mehrandezh Canada 15 444 0.5× 328 0.4× 470 1.0× 135 0.3× 126 0.4× 71 1.2k
Paulo Costa Portugal 14 397 0.4× 312 0.4× 365 0.8× 142 0.3× 142 0.4× 145 980
Fernando García Spain 22 773 0.9× 517 0.6× 249 0.5× 80 0.2× 69 0.2× 102 1.8k
Yi Yang China 20 691 0.8× 358 0.4× 351 0.7× 88 0.2× 87 0.3× 164 1.5k
David Portugal Portugal 19 473 0.5× 377 0.4× 316 0.7× 243 0.6× 71 0.2× 65 1.2k

Countries citing papers authored by Óscar Reinoso

Since Specialization
Citations

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

Fields of papers citing papers by Óscar Reinoso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Óscar Reinoso

This figure shows the co-authorship network connecting the top 25 collaborators of Óscar Reinoso. A scholar is included among the top collaborators of Óscar Reinoso 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 Óscar Reinoso. Óscar Reinoso 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.
2.
Jiménez, Luís, et al.. (2025). Impact of Gastric Emptying Kinetics on Dipyridamole Dissolution Using a Gastrointestinal Simulator. The AAPS Journal. 27(5). 121–121.
3.
Peidró, Adrián, et al.. (2024). Generating a full spherical view by modeling the relation between two fisheye images. The Visual Computer. 40(10). 7107–7132. 2 indexed citations
4.
Reinoso, Óscar, et al.. (2024). An evaluation of CNN models and data augmentation techniques in hierarchical localization of mobile robots. Evolving Systems. 15(6). 1991–2003.
5.
Payá, Luis, et al.. (2023). Environment modeling and localization from datasets of omnidirectional scenes using machine learning techniques. Neural Computing and Applications. 35(22). 16487–16508.
6.
Peidró, Adrián, et al.. (2023). Locking underactuated robots by shrinking their manifolds of free-swinging motion. Mechanism and Machine Theory. 188. 105403–105403. 2 indexed citations
7.
Peidró, Adrián, Alberto García-Martínez, José María Marín, et al.. (2022). Design of a mobile binary parallel robot that exploits nonsingular transitions. Mechanism and Machine Theory. 171. 104733–104733. 2 indexed citations
8.
Peidró, Adrián, et al.. (2022). DESIGN OF A SIMULATION TOOL TO STUDY THE CONTROLLABILITY AND STATE-SPACE CONTROL OF A PARALLEL ROBOT. INTED proceedings. 1. 3790–3800.
9.
Payá, Luis, et al.. (2021). The Role of Global Appearance of Omnidirectional Images in Relative Distance and Orientation Retrieval. Sensors. 21(10). 3327–3327. 3 indexed citations
10.
Payá, Luis, et al.. (2020). A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data. Expert Systems with Applications. 167. 114195–114195. 92 indexed citations
11.
Peidró, Adrián, et al.. (2019). Trajectory Analysis for the MASAR: A New Modular and Single-Actuator Robot. Robotics. 8(3). 78–78. 3 indexed citations
12.
Peidró, Adrián, Mahmoud Tavakoli, José María Marín, & Óscar Reinoso. (2019). Design of compact switchable magnetic grippers for the HyReCRo structure-climbing robot. Mechatronics. 59. 199–212. 41 indexed citations
13.
Payá, Luis, et al.. (2018). Modeling Environments Hierarchically with Omnidirectional Imaging and Global-Appearance Descriptors. Remote Sensing. 10(4). 522–522. 12 indexed citations
14.
Peidró, Adrián, Óscar Reinoso, Arturo Gil, José María Marín, & Luis Payá. (2018). A method based on the vanishing of self-motion manifolds to determine the collision-free workspace of redundant robots. Mechanism and Machine Theory. 128. 84–109. 16 indexed citations
15.
Ballesta, Mónica, Arturo Gil, Óscar Reinoso, Luis Payá, & Luís Jiménez. (2010). Map fusion in an independent multi-robot approach. WSEAS TRANSACTIONS on SYSTEMS archive. 9(9). 959–968. 1 indexed citations
16.
Jiménez, Luís, et al.. (2010). RECOLAB: LABORATORIO REMOTO DE CONTROL UTILIZANDO MATLAB Y SIMULINK. Revista Iberoamericana de Automática e Informática Industrial RIAI. 2(2). 64–72. 10 indexed citations
17.
Ballesta, Mónica, Arturo Gil, Óscar Reinoso, Miguel Juliá, & Luís Jiménez. (2009). Alignment of visual maps in multirobot FastSLAM. Computational intelligence. 92–97. 2 indexed citations
18.
Aracil, Rafaél, et al.. (2006). Robots Paralelos: Máquinas con un Pasado para una Robótica del Futuro. Revista Iberoamericana de Automática e Informática Industrial RIAI. 3(1). 16–28. 12 indexed citations
19.
Vicente, María Asunción, Pablo Gil, Óscar Reinoso, & Fernando Torres. (2002). Objects recognition by means of projective invariants considering corner-points. Digital Library (University of West Bohemia). 129–136. 1 indexed citations
20.
Reinoso, Óscar, et al.. (2001). REMOTE LAB FOR CONTROL APPLICATIONS USING MATLAB. Annales de Pathologie. 19(5). 395–400. 6 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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