Carlos Sampedro
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 2%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Mechanical Engineering top 10%
- Co-authors
- Pascual CampoyAlejandro Rodríguez-RamosAdrián CarrioHriday BavleJosé Luis Sánchez-LópezPaloma de la PuenteCarol MartínezAneesh Chauhan
- Topics
- Robotics and Sensor-Based Localization (17 papers)Robotic Path Planning Algorithms (15 papers)Advanced Neural Network Applications (5 papers)
- Journals
- IEEE AccessSensorsRemote Sensing
- Partner nations
- SpainLuxembourgAustralia
In The Last Decade
Carlos Sampedro
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 738
- Aerospace Engineering 667
- Artificial Intelligence 234
- Control and Systems Engineering 217
- Mechanical Engineering 201
Countries citing papers authored by Carlos Sampedro
This map shows the geographic impact of Carlos Sampedro'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 Carlos Sampedro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Sampedro more than expected).
Fields of papers citing papers by Carlos Sampedro
This network shows the impact of papers produced by Carlos Sampedro. 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 Carlos Sampedro. The network helps show where Carlos Sampedro may publish in the future.
Co-authorship network of co-authors of Carlos Sampedro
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Sampedro. A scholar is included among the top collaborators of Carlos Sampedro 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 Carlos Sampedro. Carlos Sampedro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 80 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 44 | |
| 6 | 39 | |
| 7 | 32 | |
| 8 | 35 | |
| 9 | 13 | |
| 10 | 43 | |
| 11 | 15 | |
| 12 | 54 | |
| 13 | 2 | |
| 14 | 118 | |
| 15 | 59 | |
| 16 | 98 | |
| 17 | 91 | |
| 18 | 80 | |
| 19 | LA CONTRIBUCIÓN DE LAS INFRAESTRUCTURAS A LA PRODUCCIÓN: ESTIMACIÓN POR MÁXIMA ENTROPÍA | 2 |
| 20 | Desbordamiento espacial de la productividad de lasinfraestructuras: una aplicación con fronteras estocásticas | 6 |
About Carlos Sampedro
Carlos Sampedro is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Human-Computer Interaction, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (17 papers), Robotic Path Planning Algorithms (15 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (738 citations), Aerospace Engineering (667 citations) and Human-Computer Interaction (64 citations). Carlos Sampedro has collaborated with scholars based in Spain, Luxembourg and Australia. Frequent co-authors include Pascual Campoy, Alejandro Rodríguez-Ramos, Adrián Carrio, Hriday Bavle, José Luis Sánchez-López, Paloma de la Puente, Carol Martínez, Aneesh Chauhan, Martín Molina and Ramón A. Suárez Fernández. Their work appears in journals such as IEEE Access, Sensors and Remote Sensing.
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.