Miguel Aranda
Impact in
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- Distributed Control Multi-Agent Systems
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
Papers in
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- Robotic Path Planning Algorithms 14
- Advanced Vision and Imaging 11
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- Distributed Control Multi-Agent Systems 22
- Neural Networks Stability and Synchronization 5
- Co-authors
- Gonzalo López‐NicolásYoucef MezouarCarlos SagüésMichael M. ZavlanosErol ÖzgürJuan Antonio Corrales RamónAntonio GonzálezAdrien Bartoli
- Journals
- IEEE Robotics and Automation Letters (6 papers)IEEE Transactions on Robotics (3 papers)IEEE Control Systems Letters (2 papers)IEEE Systems Journal (1 paper)Image and Vision Computing (1 paper)
- Partner nations
- SpainFranceUnited States
In The Last Decade
Miguel Aranda
35 papers receiving 367 citations
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 226
- Computer Vision and Pattern Recognition 157
- Control and Systems Engineering 153
- Aerospace Engineering 130
- Industrial and Manufacturing Engineering 20
Countries citing papers authored by Miguel Aranda
This map shows the geographic impact of Miguel Aranda'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 Miguel Aranda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Aranda more than expected).
Fields of papers citing papers by Miguel Aranda
This network shows the impact of papers produced by Miguel Aranda. 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 Miguel Aranda. The network helps show where Miguel Aranda may publish in the future.
Co-authors
The 14 scholars most cited alongside Miguel Aranda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 39 | |
| 13 | 2018 | 6 | |
| 14 | 2018 | 10 | |
| 15 | 2017 | 12 | |
| 16 | 2017 | 10 | |
| 17 | 2015 | 57 | |
| 18 | 2013 | 1 | |
| 19 | 2012 | 2 | |
| 20 | 2010 | 9 |
About Miguel Aranda
Miguel Aranda is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering, Aerospace Engineering and Modeling and Simulation, having authored 36 papers that have together received 376 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (22 papers), Robotic Path Planning Algorithms (14 papers), Advanced Vision and Imaging (11 papers), Robotics and Sensor-Based Localization (7 papers), Modular Robots and Swarm Intelligence (6 papers), Neural Networks Stability and Synchronization (5 papers), Robot Manipulation and Learning (4 papers) and Guidance and Control Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (226 citations), Computer Vision and Pattern Recognition (157 citations), Control and Systems Engineering (153 citations), Aerospace Engineering (130 citations) and Industrial and Manufacturing Engineering (20 citations). Miguel Aranda has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Gonzalo López‐Nicolás, Youcef Mezouar, Carlos Sagüés, Michael M. Zavlanos, Erol Özgür, Juan Antonio Corrales Ramón, Antonio González, Adrien Bartoli, Rosario Aragüés and José Manuel Otón Sánchez. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, IEEE Control Systems Letters, IEEE Systems Journal and Image and Vision Computing.
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.