Ricardo Toledo
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 5%
- Media Technology top 2%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ángel D. SappaCristhian AguileraDavid AldavertMarçal RusiñolJosep LladósArnau RamisaRamón López de MántarasFelipe Lumbreras
- Topics
- Advanced Image and Video Retrieval Techniques (21 papers)Robotics and Sensor-Based Localization (14 papers)Image Retrieval and Classification Techniques (12 papers)
In The Last Decade
Ricardo Toledo
35 papers receiving 831 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 761
- Aerospace Engineering 304
- Media Technology 155
- Artificial Intelligence 124
- Radiology, Nuclear Medicine and Imaging 67
Countries citing papers authored by Ricardo Toledo
This map shows the geographic impact of Ricardo Toledo'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 Ricardo Toledo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Toledo more than expected).
Fields of papers citing papers by Ricardo Toledo
This network shows the impact of papers produced by Ricardo Toledo. 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 Ricardo Toledo. The network helps show where Ricardo Toledo may publish in the future.
Co-authorship network of co-authors of Ricardo Toledo
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Toledo. A scholar is included among the top collaborators of Ricardo Toledo 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 Ricardo Toledo. Ricardo Toledo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 29 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 8 | |
| 7 | 78 | |
| 8 | 2 | |
| 9 | 120 | |
| 10 | 0 | |
| 11 | 20 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | Using the Average Landmark Vector Method for Robot Homing | 7 |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 33 | |
| 19 | 18 | |
| 20 | 3D dynamic model of the coronary tree | 3 |
About Ricardo Toledo
Ricardo Toledo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering, having authored 37 papers that have together received 867 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (21 papers), Robotics and Sensor-Based Localization (14 papers) and Image Retrieval and Classification Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (761 citations), Media Technology (155 citations) and Aerospace Engineering (304 citations). Ricardo Toledo has collaborated with scholars based in Spain, Ecuador and Chile. Frequent co-authors include Ángel D. Sappa, Cristhian Aguilera, David Aldavert, Marçal Rusiñol, Josep Lladós, Arnau Ramisa, Ramón López de Mántaras, Felipe Lumbreras, Petia Radeva and J.J. Villanueva. Their work appears in journals such as Molecular Biology and Evolution, IEEE Access and Sensors.
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.