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Researcher · Politecnico di Torino · Italy

Francesco Ponzio

Francesco Ponzio publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Cell Image Analysis Techniques.

ORCID 0000-0002-8472-8247 OpenAlex
World rank
#4,806,365
of 7,710,434 ranked researchers
Rank in Italy
#162,128
of 242,206
Works
50
Citations
253
Citations per work
5.1
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Francesco Ponzio

What does Francesco Ponzio research?

Francesco Ponzio's work is mostly in Computer Science (36%), Medicine (18%), Biochemistry, Genetics and Molecular Biology (6%).

Physical Sciences: 20 works · 41.0% of their workComputer Science: 18 works · 36.0% of their workArtificial Intelligence: 13 works · 26.6% of their workComputer Vision and Pattern Recognition: 5 works · 9.4% of their workEngineering: 2 works · 5.0% of their workIndustrial and Manufacturing Engineering: 2 works · 5.0% of their workEverything else: 17 works · 34.5% of their workHealth Sciences: 9 works · 18.0% of their workMedicine: 9 works · 18.0% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 14.4% of their workGenetics: 2 works · 3.6% of their workLife Sciences: 3 works · 6.5% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 6.5% of their workBiophysics: 3 works · 6.5% of their workTHEIR WORKFrancesco Ponzio50works
Life Sciences6%Physical Sciences41%Health Sciences18%

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. Computer Science1836.0%
    2. Engineering25.0%
  2. Everything else1734.5%
    1. Medicine918.0%
    1. Biochemistry, Genetics and Molecular Biology36.5%
  1. 1Artificial Intelligence27% of their works
  2. 2Radiology, Nuclear Medicine and Imaging14% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Biophysics6% of their works
  5. 5Industrial and Manufacturing Engineering5% of their works
  6. 6Genetics4% of their works

Research topics

Which keywords describe Francesco Ponzio's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Medical Image Analysis, Computer-Aided Detection, Histopathology Images, Texture Analysis, Medical Imaging 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.

All 21 words, with their numbers
  1. Deep Learning405 topics
  2. Machine Learning393 topics
  3. Medical Image Analysis212 topics
  4. Computer-Aided Detection171 topic
  5. Histopathology Images171 topic
  6. Texture Analysis172 topics
  7. Medical Imaging131 topic
  8. Radiomics131 topic
  9. Neural Networks102 topics
  10. Bioimage Analysis91 topic
  11. High-Content Screening91 topic
  12. Anomaly Detection61 topic
  13. Unsupervised61 topic
  14. Glioblastoma51 topic
  15. Temozolomide51 topic
  16. Generative Adversarial Networks41 topic
  17. Graph Cuts41 topic
  18. Image Segmentation41 topic
  19. Image Synthesis41 topic
  20. Interpretable Models31 topic
  21. Machine Learning Interpretability31 topic

Where does Francesco Ponzio work?

Francesco Ponzio's main affiliation in the publication record is Politecnico di Torino, Italy.

How many publications and citations does Francesco Ponzio have?

OpenAlex counts 50 works and 253 citations for Francesco Ponzio, an h-index of 8, ranking #4,806,365 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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