Francisco Silva
Francisco Silva publishes mostly in Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence, on topics such as Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment and AI in cancer detection.
- World rank
- #2,050,511 of 7,710,434 ranked researchers
- Rank in Portugal
- #8,968 of 41,760
- Works
- 50
- Citations
- 717
- Citations per work
- 14.3
What does Francisco Silva research?
Francisco Silva's work is mostly in Medicine (43%), Computer Science (18%), Biochemistry, Genetics and Molecular Biology (4%).
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
- Health Sciences2243.1%
- Medicine2243.1%
- Everything else1734.6%
- Physical Sciences918.1%
- Computer Science918.1%
- Life Sciences24.2%
- 1Radiology, Nuclear Medicine and Imaging21% of their works
- 2Pulmonary and Respiratory Medicine19% of their works
- 3Artificial Intelligence14% of their works
- 4Molecular Biology4% of their works
- 5Computer Vision and Pattern Recognition4% of their works
- 6Genetics4% of their works
Research topics
Which keywords describe Francisco Silva's research?
The keywords of their largest research topics: Machine Learning, Medical Imaging, Deep Learning, Quantitative Analysis, Radiomics, Convolutional Neural Networks, Medical Image Analysis and CT Screening.
- Vertebrae Detection
- Spine Segmentation
- Mesenchymal Stem Cells
- Generative Adversarial Networks
- Chest X-Ray
- Artificial Intelligence
- Computer-Aided Detection
- CT Screening
- Convolutional Neural Networks
- Quantitative Analysis
- Medical Imaging
- Machine Learning
- Deep Learning
- Radiomics
- Medical Image Analysis
- Lung Cancer
- Histopathology Images
- COVID-19
- EGFR Mutations
- Image Synthesis
- Multipotent
- Targeted Therapy
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 22 words, with their numbers
- Machine Learning372 topics
- Medical Imaging262 topics
- Deep Learning234 topics
- Quantitative Analysis231 topic
- Radiomics231 topic
- Convolutional Neural Networks172 topics
- Medical Image Analysis172 topics
- CT Screening151 topic
- Lung Cancer151 topic
- Computer-Aided Detection141 topic
- Histopathology Images141 topic
- Artificial Intelligence62 topics
- COVID-1931 topic
- Chest X-Ray31 topic
- EGFR Mutations31 topic
- Generative Adversarial Networks31 topic
- Image Synthesis31 topic
- Mesenchymal Stem Cells31 topic
- Multipotent31 topic
- Spine Segmentation31 topic
- Targeted Therapy31 topic
- Vertebrae Detection31 topic
Where does Francisco Silva work?
Francisco Silva's main affiliation in the publication record is INESC TEC, Portugal.
How many publications and citations does Francisco Silva have?
OpenAlex counts 50 works and 717 citations for Francisco Silva, an h-index of 16, ranking #2,050,511 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.
Other researchers named Francisco Silva
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- francisco-silva-pontificia-universidad-catolica-de-chile
- francisco-silva-universidade-federal-rural-do-rio-de-janeiro
- francisco-silva-escola-superior-de-hotelaria-e-turismo-do-estoril
- francisco-silva-universidade-da-madeira
- francisco-silva-universidade-federal-do-cariri
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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