Léon Bottou
Léon Bottou publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Neural Networks and Applications, Machine Learning and Algorithms and Machine Learning and Data Classification.
- World rank
- #25,388 of 7,710,434 ranked researchers
- Rank in United States
- #9,487 of 1,627,098
- Works
- 189
- Citations
- 128k
- Citations per work
- 675.0
What does Léon Bottou research?
Léon Bottou's work is mostly in Computer Science (75%), Decision Sciences (4%), Engineering (2%).
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
- Physical Sciences14978.6%
- Computer Science14174.8%
- Engineering42.0%
- Physics and Astronomy31.8%
- Everything else3417.8%
- Social Sciences73.6%
- Decision Sciences73.6%
- 1Artificial Intelligence49% of their works
- 2Computer Vision and Pattern Recognition20% of their works
- 3Signal Processing6% of their works
- 4Management Science and Operations Research4% of their works
- 5Computational Mechanics2% of their works
- 6Statistical and Nonlinear Physics2% of their works
Research topics
Which keywords describe Léon Bottou's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Semi-Supervised Learning, Image Classification, Backpropagation Learning, Self-Organizing Maps, Active Learning and Machine Learning.
- Image Recognition
- Compression
- Dimensionality Reduction
- Domain Adaptation
- Random Projections
- Hyperparameter Optimization
- Machine Learning
- Self-Organizing Maps
- Image Classification
- Neural Networks
- Deep Learning
- Semi-Supervised Learning
- Backpropagation Learning
- Active Learning
- Meta-Learning
- Noisy Labels
- Stochastic Gradient Descent
- Transfer Learning
- Face Recognition
- Convolutional Neural Networks
- Suffix Arrays
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 21 words, with their numbers
- Deep Learning1284 topics
- Neural Networks732 topics
- Semi-Supervised Learning602 topics
- Image Classification552 topics
- Backpropagation Learning511 topic
- Self-Organizing Maps511 topic
- Active Learning431 topic
- Machine Learning431 topic
- Meta-Learning392 topics
- Hyperparameter Optimization221 topic
- Noisy Labels221 topic
- Random Projections221 topic
- Stochastic Gradient Descent221 topic
- Domain Adaptation171 topic
- Transfer Learning171 topic
- Dimensionality Reduction131 topic
- Face Recognition131 topic
- Compression121 topic
- Convolutional Neural Networks121 topic
- Image Recognition121 topic
- Suffix Arrays121 topic
Where does Léon Bottou work?
Léon Bottou's main affiliation in the publication record is AT&T (United States), United States.
How many publications and citations does Léon Bottou have?
OpenAlex counts 189 works and 127,581 citations for Léon Bottou, an h-index of 68, ranking #25,388 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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