Adrián Peidró

532 total citations
34 papers, 321 citations indexed

About

Adrián Peidró is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Adrián Peidró has authored 34 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Aerospace Engineering. Recurrent topics in Adrián Peidró's work include Robotic Mechanisms and Dynamics (17 papers), Robotics and Sensor-Based Localization (8 papers) and Robot Manipulation and Learning (7 papers). Adrián Peidró is often cited by papers focused on Robotic Mechanisms and Dynamics (17 papers), Robotics and Sensor-Based Localization (8 papers) and Robot Manipulation and Learning (7 papers). Adrián Peidró collaborates with scholars based in Spain, United States and Portugal. Adrián Peidró's co-authors include Óscar Reinoso, Luis Payá, José María Marín, Arturo Gil, Mahmoud Tavakoli, Edward J. Haug, José Manuel Pérez‐Pérez, Mónica Ballesta, Marta María Marín and Matteo Colombo and has published in prestigious journals such as Expert Systems with Applications, Sensors and Frontiers in Plant Science.

In The Last Decade

Adrián Peidró

27 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrián Peidró Spain 9 153 106 99 79 74 34 321
Olivier Kermorgant France 9 121 0.8× 155 1.5× 76 0.8× 88 1.1× 76 1.0× 23 306
Antonio C. Leite Brazil 11 153 1.0× 121 1.1× 100 1.0× 89 1.1× 40 0.5× 47 333
Wanchao Chi China 9 82 0.5× 169 1.6× 93 0.9× 29 0.4× 124 1.7× 20 315
Hak Kyeong Kim South Korea 10 192 1.3× 91 0.9× 90 0.9× 77 1.0× 33 0.4× 43 309
Mohammad M. Aref Finland 11 225 1.5× 103 1.0× 145 1.5× 76 1.0× 46 0.6× 38 311
Xiaowei Tu China 9 104 0.7× 144 1.4× 33 0.3× 42 0.5× 80 1.1× 50 296
M. John D. Hayes Canada 11 197 1.3× 77 0.7× 76 0.8× 61 0.8× 32 0.4× 45 289
Raza Ul Islam Pakistan 9 261 1.7× 48 0.5× 66 0.7× 91 1.2× 28 0.4× 10 365
Isaku Nagai Japan 8 134 0.9× 129 1.2× 82 0.8× 42 0.5× 132 1.8× 100 302
Minsung Kim South Korea 9 113 0.7× 95 0.9× 36 0.4× 41 0.5× 29 0.4× 32 297

Countries citing papers authored by Adrián Peidró

Since Specialization
Citations

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

Fields of papers citing papers by Adrián Peidró

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrián Peidró

This figure shows the co-authorship network connecting the top 25 collaborators of Adrián Peidró. A scholar is included among the top collaborators of Adrián Peidró 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 Adrián Peidró. Adrián Peidró 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.
Peidró, Adrián, et al.. (2025). Topological and spatial analysis of self-motion manifolds for global redundancy resolution in kinematically redundant robots. Mechanism and Machine Theory. 210. 106020–106020. 1 indexed citations
2.
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
3.
Peidró, Adrián, et al.. (2024). TEACHING REDUNDANCY RESOLUTION IN REDUNDANT PARALLEL MANIPULATORS WITH AN INTERACTIVE AND GRAPHICAL SIMULATION. INTED proceedings. 1. 2677–2686. 1 indexed citations
4.
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.
5.
Peidró, Adrián & Edward J. Haug. (2023). Obstacle Avoidance in Operational Configuration Space Kinematic Control of Redundant Serial Manipulators. Machines. 12(1). 10–10. 3 indexed citations
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.
Payá, Luis, et al.. (2019). Relative Altitude Estimation Using Omnidirectional Imaging and Holistic Descriptors. Remote Sensing. 11(3). 323–323. 7 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.
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
14.
Peidró, Adrián, et al.. (2019). A Genome-Wide Association Study Identifies New Loci Involved in Wound-Induced Lateral Root Formation in Arabidopsis thaliana. Frontiers in Plant Science. 10. 311–311. 6 indexed citations
15.
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
16.
Payá, Luis, et al.. (2018). Modeling Environments Hierarchically with Omnidirectional Imaging and Global-Appearance Descriptors. Remote Sensing. 10(4). 522–522. 12 indexed citations
17.
Payá, Luis, et al.. (2018). DEVELOPMENT OF A PLATFORM TO SIMULATE VIRTUAL ENVIRONMENTS FOR ROBOT LOCALIZATION. INTED proceedings. 1. 1232–1241. 2 indexed citations
18.
19.
Peidró, Adrián, José María Marín, Arturo Gil, & Óscar Reinoso. (2015). Performing Nonsingular Transitions Between Assembly Modes in Analytic Parallel Manipulators by Enclosing Quadruple Solutions. Journal of Mechanical Design. 137(12). 10 indexed citations
20.
Peidró, Adrián, et al.. (2014). Control de un ascensor como caso práctico para la docencia de control avanzado. Dialnet (Universidad de la Rioja). 4.

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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