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Researcher · Champalimaud Foundation · Portugal

Ana Sofia Castro Verde

Ana Sofia Castro Verde publishes mostly in Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Prostate Cancer Diagnosis and Treatment, Radiomics and Machine Learning in Medical Imaging and AI in cancer detection.

ORCID 0000-0001-6729-5681 OpenAlex
World rank
#1,839,632
of 7,710,434 ranked researchers
Rank in Portugal
#7,875
of 41,760
Works
17
Citations
110
Citations per work
6.5
h-index
6
i10-index 4Top 78% in Pulmonary and Respiratory Medicine
Ana Sofia Castro Verde

What does Ana Sofia Castro Verde research?

Ana Sofia Castro Verde's work is mostly in Medicine (57%), Computer Science (23%), Engineering (9%).

Health Sciences: 10 works · 56.8% of their workMedicine: 10 works · 56.8% of their workPulmonary and Respiratory Medicine: 5 works · 31.8% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 20.5% of their workHealth Informatics: 1 works · 4.5% of their workPhysical Sciences: 5 works · 31.8% of their workComputer Science: 4 works · 22.7% of their workArtificial Intelligence: 3 works · 15.9% of their workComputer Vision and Pattern Recognition: 1 works · 6.8% of their workEngineering: 2 works · 9.1% of their workBiomedical Engineering: 2 works · 9.1% of their workEverything else: 2 works · 11.4% of their workTHEIR WORKAna Sofia CastroVerde17works
Physical Sciences32%Health Sciences57%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine1056.8%
    1. Computer Science422.7%
    2. Engineering29.1%
  3. Everything else211.4%
  1. 1Pulmonary and Respiratory Medicine32% of their works
  2. 2Radiology, Nuclear Medicine and Imaging20% of their works
  3. 3Artificial Intelligence16% of their works
  4. 4Biomedical Engineering9% of their works
  5. 5Computer Vision and Pattern Recognition7% of their works
  6. 6Health Informatics4% of their works

Research topics

Which keywords describe Ana Sofia Castro Verde's research?

The keywords of their largest research topics: Machine Learning, Prostate Cancer, Precision Medicine, Medical Imaging, Predictive Modeling, Quantitative Analysis, Radiation Therapy and Radiomics.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 24 words, with their numbers
  1. Machine Learning173 topics
  2. Prostate Cancer142 topics
  3. Precision Medicine123 topics
  4. Medical Imaging112 topics
  5. Predictive Modeling102 topics
  6. Quantitative Analysis91 topic
  7. Radiation Therapy91 topic
  8. Radiomics91 topic
  9. Screening91 topic
  10. Deep Learning83 topics
  11. Convolutional Neural Networks72 topics
  12. Histopathology Images61 topic
  13. Medical Image Analysis61 topic
  14. Androgen Receptor51 topic
  15. Genomic Profiling51 topic
  16. Healthcare32 topics
  17. Artificial Intelligence21 topic
  18. Clinical Decision Support21 topic
  19. Dual-Energy CT21 topic
  20. Material Differentiation21 topic
  21. Electronic Health Records11 topic
  22. Image Recognition11 topic
  23. Object Detection11 topic
  24. Patient Similarity11 topic

Where does Ana Sofia Castro Verde work?

Ana Sofia Castro Verde's main affiliation in the publication record is Champalimaud Foundation, Portugal.

How many publications and citations does Ana Sofia Castro Verde have?

OpenAlex counts 17 works and 110 citations for Ana Sofia Castro Verde, an h-index of 6, ranking #1,839,632 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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