Science Explorer Back to mapMap
Discussion
Researcher · IRT M2P · France

Franck Mamalet

Franck Mamalet publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Adversarial Robustness in Machine Learning, Advanced Neural Network Applications and Face and Expression Recognition.

OpenAlex
World rank
#1,703,103
of 7,710,434 ranked researchers
Rank in France
#75,382
of 324,115
Works
71
Citations
1.7k
Citations per work
23.6
h-index
15
i10-index 20Top 23% in Computer Vision and Pattern Recognition
Franck Mamalet

What does Franck Mamalet research?

Franck Mamalet's work is mostly in Computer Science (77%), Engineering (4%).

Physical Sciences: 58 works · 81.6% of their workComputer Science: 55 works · 77.1% of their workComputer Vision and Pattern Recognition: 29 works · 40.8% of their workArtificial Intelligence: 23 works · 31.8% of their workSignal Processing: 2 works · 2.5% of their workHuman-Computer Interaction: 1 works · 2.0% of their workEngineering: 3 works · 4.5% of their workMedia Technology: 2 works · 2.5% of their workElectrical and Electronic Engineering: 1 works · 2.0% of their workEverything else: 13 works · 18.4% of their workTHEIR WORKFranck Mamalet71works
Physical Sciences82%

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 Science5577.1%
    2. Engineering34.5%
  2. Everything else1318.4%
  1. 1Computer Vision and Pattern Recognition41% of their works
  2. 2Artificial Intelligence32% of their works
  3. 3Signal Processing2% of their works
  4. 4Media Technology2% of their works
  5. 5Human-Computer Interaction2% of their works
  6. 6Electrical and Electronic Engineering2% of their works

Research topics

Which keywords describe Franck Mamalet's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Adversarial Examples, Robustness, Convolutional Neural Networks, Image Recognition, Dimensionality Reduction and Face Recognition.

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 18 words, with their numbers
  1. Deep Learning706 topics
  2. Neural Networks403 topics
  3. Adversarial Examples221 topic
  4. Robustness221 topic
  5. Convolutional Neural Networks161 topic
  6. Image Recognition161 topic
  7. Dimensionality Reduction111 topic
  8. Face Recognition111 topic
  9. Backpropagation Learning101 topic
  10. Self-Organizing Maps101 topic
  11. Anomaly Detection81 topic
  12. Unsupervised81 topic
  13. Action Recognition71 topic
  14. Feature Matching71 topic
  15. Local Descriptors71 topic
  16. Pose Estimation71 topic
  17. Hyperparameter Optimization51 topic
  18. Noisy Labels51 topic

Where does Franck Mamalet work?

Franck Mamalet's main affiliation in the publication record is IRT M2P, France.

How many publications and citations does Franck Mamalet have?

OpenAlex counts 71 works and 1,673 citations for Franck Mamalet, an h-index of 15, ranking #1,703,103 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

Ask a question or share a note about Franck Mamalet. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.