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Researcher · University of Florence · Italy

Paolo Frasconi

Paolo Frasconi publishes mostly in Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, on topics such as Neural Networks and Applications, Machine Learning and Algorithms and Machine Learning in Bioinformatics.

ORCID 0000-0003-3117-9245 OpenAlex
World rank
#374,374
of 7,710,434 ranked researchers
Rank in Italy
#9,889
of 242,206
Works
234
Citations
17k
Citations per work
72.3
h-index
45
i10-index 99Top 1.4% in Artificial Intelligence
Paolo Frasconi

What does Paolo Frasconi research?

Paolo Frasconi's work is mostly in Computer Science (56%), Biochemistry, Genetics and Molecular Biology (23%).

Physical Sciences: 130 works · 55.6% of their workComputer Science: 130 works · 55.6% of their workArtificial Intelligence: 94 works · 40.1% of their workComputer Vision and Pattern Recognition: 17 works · 7.3% of their workComputational Theory and Mathematics: 10 works · 4.1% of their workInformation Systems: 10 works · 4.1% of their workLife Sciences: 54 works · 22.9% of their workBiochemistry, Genetics and Molecular Biology: 54 works · 22.9% of their workMolecular Biology: 39 works · 16.5% of their workBiophysics: 15 works · 6.4% of their workEverything else: 50 works · 21.5% of their workTHEIR WORKPaolo Frasconi234works
Life Sciences23%Physical Sciences56%

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 Science13055.6%
    1. Biochemistry, Genetics and Molecular Biology5422.9%
  3. Everything else5021.5%
  1. 1Artificial Intelligence40% of their works
  2. 2Molecular Biology16% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Biophysics6% of their works
  5. 5Information Systems4% of their works
  6. 6Computational Theory and Mathematics4% of their works

Research topics

Which keywords describe Paolo Frasconi's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Prediction, Protein, Neural Networks, Backpropagation Learning, Self-Organizing Maps and Active Learning.

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 Learning843 topics
  2. Machine Learning803 topics
  3. Prediction562 topics
  4. Protein562 topics
  5. Neural Networks522 topics
  6. Backpropagation Learning331 topic
  7. Self-Organizing Maps331 topic
  8. Active Learning301 topic
  9. Semi-Supervised Learning301 topic
  10. Amino Acid Composition291 topic
  11. Subcellular Localization291 topic
  12. Molecular Dynamics271 topic
  13. Structure271 topic
  14. Neural Machine Translation251 topic
  15. Statistical Machine Translation251 topic
  16. Bioimage Analysis211 topic
  17. High-Content Screening211 topic
  18. Machine Translation191 topic
  19. Word Representation191 topic
  20. Fluorescent Proteins181 topic
  21. Super-Resolution Imaging181 topic

Where does Paolo Frasconi work?

Paolo Frasconi's main affiliation in the publication record is University of Florence, Italy.

How many publications and citations does Paolo Frasconi have?

OpenAlex counts 234 works and 16,927 citations for Paolo Frasconi, an h-index of 45, ranking #374,374 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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