Luis Unzueta
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Control and Systems Engineering
- Artificial Intelligence
- Automotive Engineering
- Co-authors
- Oihana OtaeguiMarcos NietoPedro SánchezManuel LorcaÁngel SuescunRonan BoulicMaría Teresa LinazaNoel E. O’Connor
- Topics
- Face recognition and analysis (8 papers)Video Surveillance and Tracking Methods (7 papers)Face and Expression Recognition (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionPhysical Therapy, Sports Therapy and Rehabilitation
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- SpainSwitzerlandIreland
In The Last Decade
Luis Unzueta
33 papers receiving 369 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 247
- Biomedical Engineering 55
- Control and Systems Engineering 48
- Artificial Intelligence 44
- Automotive Engineering 41
Countries citing papers authored by Luis Unzueta
This map shows the geographic impact of Luis Unzueta'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 Unzueta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Unzueta more than expected).
Fields of papers citing papers by Luis Unzueta
This network shows the impact of papers produced by Luis Unzueta. 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 Unzueta. The network helps show where Luis Unzueta may publish in the future.
Co-authorship network of co-authors of Luis Unzueta
This figure shows the co-authorship network connecting the top 25 collaborators of Luis Unzueta. A scholar is included among the top collaborators of Luis Unzueta 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 Luis Unzueta. Luis Unzueta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 40 | |
| 13 | 5 | |
| 14 | 25 | |
| 15 | Viewpoint-dependent 3D human body posing for sports legacy recovery from images and video | 4 |
| 16 | 12 | |
| 17 | 123 | |
| 18 | 32 | |
| 19 | 13 | |
| 20 | Real-Time IK Body Movement Recovery from Partial Vision Input | 1 |
About Luis Unzueta
Luis Unzueta is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 35 papers that have together received 389 indexed citations. Recurring topics across this work include Face recognition and analysis (8 papers), Video Surveillance and Tracking Methods (7 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Human-Computer Interaction (37 citations) and Physical Therapy, Sports Therapy and Rehabilitation (20 citations). Luis Unzueta has collaborated with scholars based in Spain, Switzerland and Ireland. Frequent co-authors include Oihana Otaegui, Marcos Nieto, Pedro Sánchez, Manuel Lorca, Ángel Suescun, Ronan Boulic, María Teresa Linaza, Noel E. O’Connor, David Monaghan and Amin Ahmadi. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.