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Researcher · École Nationale Supérieure de Techniques Avancées · France

Gianni Franchi

Gianni Franchi publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, on topics such as Adversarial Robustness in Machine Learning, Advanced Neural Network Applications and Anomaly Detection Techniques and Applications.

ORCID 0000-0002-2184-1381 OpenAlex
World rank
#2,278,208
of 7,710,434 ranked researchers
Rank in France
#98,005
of 324,115
Works
101
Citations
584
Citations per work
5.8
h-index
12
i10-index 15Top 32% in Artificial Intelligence
Gianni Franchi

What does Gianni Franchi research?

Gianni Franchi's work is mostly in Computer Science (77%), Engineering (9%), Health Professions (2%).

Physical Sciences: 87 works · 85.9% of their workComputer Science: 77 works · 76.7% of their workArtificial Intelligence: 39 works · 39.1% of their workComputer Vision and Pattern Recognition: 36 works · 35.4% of their workSignal Processing: 2 works · 2.2% of their workEngineering: 9 works · 9.2% of their workMedia Technology: 7 works · 7.0% of their workControl and Systems Engineering: 2 works · 2.2% of their workEverything else: 13 works · 12.6% of their workHealth Sciences: 2 works · 1.5% of their workHealth Professions: 2 works · 1.5% of their workGeneral Health Professions: 2 works · 1.5% of their workTHEIR WORKGianni Franchi101works
Physical Sciences86%Health Sciences2%

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 Science7776.7%
    2. Engineering99.2%
  2. Everything else1312.6%
    1. Health Professions21.5%
  1. 1Artificial Intelligence39% of their works
  2. 2Computer Vision and Pattern Recognition35% of their works
  3. 3Media Technology7% of their works
  4. 4Control and Systems Engineering2% of their works
  5. 5Signal Processing2% of their works
  6. 6General Health Professions2% of their works

Research topics

Which keywords describe Gianni Franchi's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Adversarial Examples, Robustness, Convolutional Neural Networks, Image Recognition, Anomaly Detection and Unsupervised.

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 19 words, with their numbers
  1. Deep Learning995 topics
  2. Neural Networks643 topics
  3. Adversarial Examples291 topic
  4. Robustness291 topic
  5. Convolutional Neural Networks261 topic
  6. Image Recognition261 topic
  7. Anomaly Detection211 topic
  8. Unsupervised211 topic
  9. Unsupervised Learning212 topics
  10. Interpretable Models151 topic
  11. Machine Learning Interpretability151 topic
  12. Image Captioning141 topic
  13. Visual Question Answering141 topic
  14. Domain Adaptation131 topic
  15. Transfer Learning131 topic
  16. Hyperspectral91 topic
  17. Image Analysis91 topic
  18. Depth Estimation81 topic
  19. Stereo Vision81 topic

Where does Gianni Franchi work?

Gianni Franchi's main affiliation in the publication record is École Nationale Supérieure de Techniques Avancées, France.

How many publications and citations does Gianni Franchi have?

OpenAlex counts 101 works and 584 citations for Gianni Franchi, an h-index of 12, ranking #2,278,208 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.

Discussion

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