Sandro Queirós

1.5k citations
72 papers · 967 · h-index 18

Impact in

Papers in

Sandro Queirós

66 papers receiving 947 citations

Peers

Sandro Queirós
Comparison fields: 5 of 114
  • Radiology, Nuclear Medicine and Imaging 260
  • Health Informatics 15
  • Cardiology and Cardiovascular Medicine 224
  • Computer Vision and Pattern Recognition 207
  • Cancer Research 77
Replace Suiren Wan with:
Suiren Wan China
Hiroshi Murata Japan
Xiangning Wang China
V.J. Raso Canada
Ching‐Wei Wang Taiwan
Muhammad Owais Pakistan
Pedro Morais Portugal
Yanping Lin China
Zhiwen Huang China
Sandro Queirós relative to Suiren Wan China Suiren Wan's profile →
Citations per field
00.5×7.7×
Suiren Wan · 1×
Citations per year

Countries citing papers authored by Sandro Queirós

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Sandro Queirós, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sandro Queirós Line = papers co-authored together Sandro Queirós links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014110
2 200982
3 201582
4 201873
5 201750
6 200742
7 201838
8 201632
9 201830
10 201827
11 201426
12 201625
13 201721
14 201718
15 201818
16 200817
17 201617
18 201617
19 201816
20 201716

About Sandro Queirós

Sandro Queirós is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering, having authored 72 papers that have together received 967 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (19 papers), Medical Image Segmentation Techniques (11 papers), Cardiac Imaging and Diagnostics (11 papers), Cardiovascular Function and Risk Factors (10 papers), Advanced Neural Network Applications (7 papers), Advanced MRI Techniques and Applications (6 papers), Human Pose and Action Recognition (5 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (260 citations), Health Informatics (15 citations), Cardiology and Cardiovascular Medicine (224 citations), Computer Vision and Pattern Recognition (207 citations) and Cancer Research (77 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 IEEE Transactions on Medical Imaging, Medical Image Analysis, Journal of the American Society of Echocardiography, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and Medical Physics.

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.

Explore authors with similar magnitude of impact