Sandro Queirós
- Radiology, Nuclear Medicine and Imaging top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Molecular Biology
- Co-authors
- João L. VilaçaPedro MoraisJan D’hoogeJaime C. FonsecaDaniel BarbosaOlivier BernardBruno OliveiraHelena R. Torres
- Topics
- Cardiac Valve Diseases and Treatments (21 papers)Cardiac Imaging and Diagnostics (14 papers)Medical Image Segmentation Techniques (11 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCardiology and Cardiovascular Medicine
- Journals
- Molecular Biology and EvolutionIEEE Transactions on Biomedical EngineeringIEEE Transactions on Medical Imaging
- Partner nations
- PortugalBelgiumUnited Kingdom
In The Last Decade
Sandro Queirós
63 papers receiving 921 citations
Peers
Comparison fields: 5 of 116
- Radiology, Nuclear Medicine and Imaging 305
- Cardiology and Cardiovascular Medicine 251
- Computer Vision and Pattern Recognition 221
- Biomedical Engineering 208
- Molecular Biology 118
Countries citing papers authored by Sandro Queirós
This map shows the geographic impact of Sandro Queirós'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 Sandro Queirós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandro Queirós more than expected).
Fields of papers citing papers by Sandro Queirós
This network shows the impact of papers produced by Sandro Queirós. 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 Sandro Queirós. The network helps show where Sandro Queirós may publish in the future.
Co-authorship network of co-authors of Sandro Queirós
This figure shows the co-authorship network connecting the top 25 collaborators of Sandro Queirós. A scholar is included among the top collaborators of Sandro Queirós 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 Sandro Queirós. Sandro Queirós 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 26 | |
| 16 | 69 | |
| 17 | 16 | |
| 18 | 16 | |
| 19 | 81 | |
| 20 | 18 |
About Sandro Queirós
Sandro Queirós is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 940 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (21 papers), Cardiac Imaging and Diagnostics (14 papers) and Medical Image Segmentation Techniques (11 papers). The work is most often cited by research in Health Informatics (19 citations), Radiology, Nuclear Medicine and Imaging (305 citations) and Cardiology and Cardiovascular Medicine (251 citations). Sandro Queirós has collaborated with scholars based in Portugal, Belgium and United Kingdom. Frequent co-authors include João L. Vilaça, Pedro Morais, Jan D’hooge, Jaime C. Fonseca, Daniel Barbosa, Olivier Bernard, Bruno Oliveira, Helena R. Torres, António H. J. Moreira and Brecht Heyde. Their work appears in journals such as Molecular Biology and Evolution, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.
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.