Alejandro Rodríguez-Ramos

1.3k total citations
18 papers, 913 citations indexed

About

Alejandro Rodríguez-Ramos is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Alejandro Rodríguez-Ramos has authored 18 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Aerospace Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Alejandro Rodríguez-Ramos's work include Robotics and Sensor-Based Localization (13 papers), Robotic Path Planning Algorithms (12 papers) and Advanced Vision and Imaging (5 papers). Alejandro Rodríguez-Ramos is often cited by papers focused on Robotics and Sensor-Based Localization (13 papers), Robotic Path Planning Algorithms (12 papers) and Advanced Vision and Imaging (5 papers). Alejandro Rodríguez-Ramos collaborates with scholars based in Spain, Australia and Netherlands. Alejandro Rodríguez-Ramos's co-authors include Pascual Campoy, Carlos Sampedro, Adrián Carrio, Hriday Bavle, Paloma de la Puente, José Luis Sánchez-López, Martín Molina, Luis Mejías, Ignacio Gil and J. A. Cobano and has published in prestigious journals such as IEEE Access, Sensors and Journal of Intelligent & Robotic Systems.

In The Last Decade

Alejandro Rodríguez-Ramos

18 papers receiving 897 citations

Peers

Alejandro Rodríguez-Ramos

CVPR

CSE

CNC

John G. Rogers United States

J. Ferruz Spain

Flavio Fontana Switzerland

Adrián Carrio Spain

Philipp Lutz Germany

Abdulla Al-Kaff Spain

Miguel Olivares-Mendez Luxembourg

Felix Ruess Germany

Douglas G. Macharet Brazil

Andreas Dömel Germany

John G. Rogers United States

Alejandro Rodríguez-Ramos

533 ×1.0

CVPR

547 ×1.1

137 ×0.7

151 ×1.0

CSE

128 ×0.9

CNC

Citations per year, relative to Alejandro Rodríguez-Ramos Alejandro Rodríguez-Ramos (= 1×) peers John G. Rogers

Countries citing papers authored by Alejandro Rodríguez-Ramos

Since Specialization

Citations

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

Fields of papers citing papers by Alejandro Rodríguez-Ramos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Rodríguez-Ramos. 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 Alejandro Rodríguez-Ramos. The network helps show where Alejandro Rodríguez-Ramos may publish in the future.

Co-authorship network of co-authors of Alejandro Rodríguez-Ramos

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

All Works

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18 of 18 papers shown

Alejo, David, J. A. Cobano, Alejandro Rodríguez-Ramos, et al.. (2022). An Aerial/Ground Robot Team for Autonomous Firefighting in Urban GNSS-Denied Scenarios. 2. 241–273. 7 indexed citations

Molina, Martín, et al.. (2020). Building the executive system of autonomous aerial robots using the Aerostack open-source framework. International Journal of Advanced Robotic Systems. 17(3). 5 indexed citations

Rodríguez-Ramos, Alejandro, et al.. (2020). Adaptive Inattentional Framework for Video Object Detection With Reward-Conditional Training. IEEE Access. 8. 124451–124466. 21 indexed citations

Sampedro, Carlos, et al.. (2019). Deep Learning-Based System for Automatic Recognition and Diagnosis of Electrical Insulator Strings. IEEE Access. 7. 101283–101308. 80 indexed citations

Rodríguez-Ramos, Alejandro, et al.. (2019). Vision-Based Multirotor Following Using Synthetic Learning Techniques. Sensors. 19(21). 4794–4794. 5 indexed citations

Molina, Martín, et al.. (2019). An execution control method for the Aerostack aerial robotics framework. Frontiers of Information Technology & Electronic Engineering. 20(1). 60–75. 3 indexed citations

Bavle, Hriday, et al.. (2018). Stereo Visual Odometry and Semantics based Localization of Aerial Robots in Indoor Environments. Open Repository and Bibliography (University of Luxembourg). 1018–1023. 10 indexed citations

Sampedro, Carlos, Alejandro Rodríguez-Ramos, Ignacio Gil, Luis Mejías, & Pascual Campoy. (2018). Image-Based Visual Servoing Controller for Multirotor Aerial Robots Using Deep Reinforcement Learning. 979–986. 44 indexed citations

Rodríguez-Ramos, Alejandro, et al.. (2018). A Deep Reinforcement Learning Technique for Vision-Based Autonomous Multirotor Landing on a Moving Platform. Open Repository and Bibliography (University of Luxembourg). 1010–1017. 39 indexed citations

10.

Sampedro, Carlos, Hriday Bavle, Alejandro Rodríguez-Ramos, Paloma de la Puente, & Pascual Campoy. (2018). Laser-Based Reactive Navigation for Multirotor Aerial Robots using Deep Reinforcement Learning. Open Repository and Bibliography (University of Luxembourg). 1024–1031. 32 indexed citations

11.

Bavle, Hriday, José Luis Sánchez-López, Paloma de la Puente, et al.. (2018). Fast and Robust Flight Altitude Estimation of Multirotor UAVs in Dynamic Unstructured Environments Using 3D Point Cloud Sensors. Aerospace. 5(3). 94–94. 13 indexed citations

12.

Sampedro, Carlos, Alejandro Rodríguez-Ramos, Hriday Bavle, et al.. (2018). A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques. Journal of Intelligent & Robotic Systems. 95(2). 601–627. 131 indexed citations

13.

Rodríguez-Ramos, Alejandro, Carlos Sampedro, Hriday Bavle, Paloma de la Puente, & Pascual Campoy. (2018). A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform. Journal of Intelligent & Robotic Systems. 93(1-2). 351–366. 162 indexed citations

14.

Sampedro, Carlos, Hriday Bavle, Alejandro Rodríguez-Ramos, et al.. (2017). A fully-autonomous aerial robotic solution for the 2016 International Micro Air Vehicle competition. Open Repository and Bibliography (University of Luxembourg). 989–998. 13 indexed citations

15.

Rodríguez-Ramos, Alejandro, et al.. (2017). Towards fully autonomous landing on moving platforms for rotary Unmanned Aerial Vehicles. Open Repository and Bibliography (University of Luxembourg). 170–178. 15 indexed citations

16.

Carrio, Adrián, Carlos Sampedro, Alejandro Rodríguez-Ramos, & Pascual Campoy. (2017). A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles. Journal of Sensors. 2017. 1–13. 260 indexed citations

17.

Bavle, Hriday, José Luis Sánchez-López, Alejandro Rodríguez-Ramos, Carlos Sampedro, & Pascual Campoy. (2017). A flight altitude estimator for multirotor UAVs in dynamic and unstructured indoor environments. Open Repository and Bibliography (University of Luxembourg). 1044–1051. 14 indexed citations

18.

Sampedro, Carlos, Hriday Bavle, José Luis Sánchez-López, et al.. (2016). A flexible and dynamic mission planning architecture for UAV swarm coordination. UPM Digital Archive (Technical University of Madrid). 355–363. 59 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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