C. Cañero
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 10%
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Pulmonary and Respiratory Medicine
- Co-authors
- Petia RadevaFelipe LumbrerasT. GrafAntonio M. LópezJoan SerratFernando VilariñoJosepa MauriRicardo Toledo
- Topics
- Medical Image Segmentation Techniques (6 papers)Advanced Vision and Imaging (5 papers)Coronary Interventions and Diagnostics (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionAutomotive EngineeringRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Medical ImagingPattern Recognition LettersNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
- Partner nations
- SpainGreeceUnited States
In The Last Decade
C. Cañero
13 papers receiving 263 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 208
- Automotive Engineering 78
- Radiology, Nuclear Medicine and Imaging 76
- Surgery 42
- Pulmonary and Respiratory Medicine 41
Countries citing papers authored by C. Cañero
This map shows the geographic impact of C. Cañero'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 C. Cañero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Cañero more than expected).
Fields of papers citing papers by C. Cañero
This network shows the impact of papers produced by C. Cañero. 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 C. Cañero. The network helps show where C. Cañero may publish in the future.
Co-authorship network of co-authors of C. Cañero
This figure shows the co-authorship network connecting the top 25 collaborators of C. Cañero. A scholar is included among the top collaborators of C. Cañero 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 C. Cañero. C. Cañero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 4 | |
| 3 | 65 | |
| 4 | 2 | |
| 5 | 29 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 39 | |
| 10 | 19 | |
| 11 | 45 | |
| 12 | 33 | |
| 13 | 10 |
About C. Cañero
C. Cañero is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Surgery, having authored 13 papers that have together received 280 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Advanced Vision and Imaging (5 papers) and Coronary Interventions and Diagnostics (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (208 citations), Automotive Engineering (78 citations) and Radiology, Nuclear Medicine and Imaging (76 citations). C. Cañero has collaborated with scholars based in Spain, Greece and United States. Frequent co-authors include Petia Radeva, Felipe Lumbreras, T. Graf, Antonio M. López, Joan Serrat, Fernando Vilariño, Josepa Mauri, Ricardo Toledo, J.J. Villanueva and Jordi Saludes. Their work appears in journals such as IEEE Transactions on Medical Imaging, Pattern Recognition Letters and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.
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.