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Researcher · Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" · Italy

Gabriele Lagani

Gabriele Lagani publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, on topics such as Advanced Memory and Neural Computing, Cell Image Analysis Techniques and Neural Networks and Applications.

ORCID 0000-0003-4739-5778 OpenAlex
World rank
#4,741,840
of 7,710,434 ranked researchers
Rank in Italy
#160,032
of 242,206
Works
34
Citations
171
Citations per work
5.0
h-index
7
i10-index 5Top 65% in Artificial Intelligence
Gabriele Lagani

What does Gabriele Lagani research?

Gabriele Lagani's work is mostly in Computer Science (46%), Engineering (22%), Neuroscience (14%).

Physical Sciences: 23 works · 68.0% of their workComputer Science: 16 works · 46.0% of their workArtificial Intelligence: 10 works · 29.0% of their workComputer Vision and Pattern Recognition: 6 works · 17.0% of their workEngineering: 7 works · 22.0% of their workElectrical and Electronic Engineering: 7 works · 22.0% of their workLife Sciences: 7 works · 22.0% of their workNeuroscience: 5 works · 14.0% of their workCellular and Molecular Neuroscience: 2 works · 7.0% of their workCognitive Neuroscience: 2 works · 7.0% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 8.0% of their workBiophysics: 3 works · 8.0% of their workEverything else: 3 works · 10.0% of their workTHEIR WORKGabriele Lagani34works
Life Sciences22%Physical Sciences68%

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 Science1646.0%
    2. Engineering722.0%
    1. Neuroscience514.0%
    2. Biochemistry, Genetics and Molecular Biology38.0%
  3. Everything else310.0%
  1. 1Artificial Intelligence29% of their works
  2. 2Electrical and Electronic Engineering22% of their works
  3. 3Computer Vision and Pattern Recognition17% of their works
  4. 4Biophysics8% of their works
  5. 5Cognitive Neuroscience7% of their works
  6. 6Cellular and Molecular Neuroscience7% of their works

Research topics

Which keywords describe Gabriele Lagani's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Neuromorphic Computing, Machine Learning, Memristor, Resistive Switching, Backpropagation Learning and Bioimage Analysis.

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 20 words, with their numbers
  1. Deep Learning233 topics
  2. Neural Networks222 topics
  3. Neuromorphic Computing222 topics
  4. Machine Learning152 topics
  5. Memristor141 topic
  6. Resistive Switching141 topic
  7. Backpropagation Learning81 topic
  8. Bioimage Analysis81 topic
  9. Ferroelectricity81 topic
  10. Hafnium Oxide81 topic
  11. High-Content Screening81 topic
  12. Self-Organizing Maps81 topic
  13. Convolutional Neural Networks71 topic
  14. Cortical Networks71 topic
  15. Domain Adaptation71 topic
  16. Image Recognition71 topic
  17. Neuromorphic Photonics71 topic
  18. Neuronal Oscillations71 topic
  19. Photonic Reservoir Computing71 topic
  20. Transfer Learning71 topic

Where does Gabriele Lagani work?

Gabriele Lagani's main affiliation in the publication record is Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Italy.

How many publications and citations does Gabriele Lagani have?

OpenAlex counts 34 works and 171 citations for Gabriele Lagani, an h-index of 7, ranking #4,741,840 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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