Luis Ferraz
Impact in
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Image and Object Detection Techniques
- Optical measurement and interference techniques
- Robotic Path Planning Algorithms
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
- Space Satellite Systems and Control
Papers in
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- Image and Object Detection Techniques 2
- Advanced Image and Video Retrieval Techniques 2
- Advanced Vision and Imaging 2
- Advanced Neural Network Applications 2
- Video Surveillance and Tracking Methods 1
- Human Pose and Action Recognition 1
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Xavier Binefa (5 shared papers)Francesc Moreno-Noguer (4 shared papers)Carlos Dorronsoro (1 shared paper)Adrián Peñate-Sánchez (1 shared paper)Arnau Ramisa (1 shared paper)Brais Martínez (1 shared paper)Michael Villamizar (1 shared paper)Alberto Sanfeliu (1 shared paper)
- Journals
- Computer Vision and Image Understanding (1 paper)QRU Quaderns de Recerca en Urbanisme (1 paper)DIGITAL.CSIC (Spanish National Research Council (CSIC)) (2 papers)Acceda (Universidad de Las Palmas de Gran Canaria) (1 paper)
- Partner nations
- SpainUnited KingdomIndia
In The Last Decade
Luis Ferraz
7 papers receiving 211 citations
Peers
Comparison fields: 5 of 25
- Computer Vision and Pattern Recognition 179
- Aerospace Engineering 169
- Geology 23
- Media Technology 15
- Instrumentation 3
Countries citing papers authored by Luis Ferraz
This map shows the geographic impact of Luis Ferraz'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 Luis Ferraz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Ferraz more than expected).
Fields of papers citing papers by Luis Ferraz
This network shows the impact of papers produced by Luis Ferraz. 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 Luis Ferraz. The network helps show where Luis Ferraz may publish in the future.
Co-authors
The 11 scholars most cited alongside Luis Ferraz, 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 | 2014 | 129 | |
| 2 | 2014 | 33 | |
| 3 | 2010 | 25 | |
| 4 | 2015 | 16 | |
| 5 | 2011 | 11 | |
| 6 | 2006 | 7 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 |
About Luis Ferraz
Luis Ferraz is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Automotive Engineering and Artificial Intelligence, having authored 8 papers that have together received 222 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Image and Object Detection Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Vision and Imaging (2 papers), Advanced Neural Network Applications (2 papers), Video Surveillance and Tracking Methods (1 paper), Sports Dynamics and Biomechanics (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (179 citations), Aerospace Engineering (169 citations), Geology (23 citations), Media Technology (15 citations) and Instrumentation (3 citations). Luis Ferraz has collaborated with scholars based in Spain, United Kingdom and India. Frequent co-authors include Xavier Binefa, Francesc Moreno-Noguer, Carlos Dorronsoro, Adrián Peñate-Sánchez, Arnau Ramisa, Brais Martínez, Michael Villamizar, Alberto Sanfeliu, Edgar Simo‐Serra and Antonio Agudo. Their work appears in journals such as Computer Vision and Image Understanding, QRU Quaderns de Recerca en Urbanisme, DIGITAL.CSIC (Spanish National Research Council (CSIC)) and Acceda (Universidad de Las Palmas de Gran Canaria).
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.