Agustin Martin Picard
Agustin Martin Picard publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, on topics such as Explainable Artificial Intelligence (XAI), Topic Modeling and Model Reduction and Neural Networks.
- World rank
- #5,005,654 of 7,710,434 ranked researchers
- Rank in France
- #211,070 of 324,115
- Works
- 31
- Citations
- 126
- Citations per work
- 4.1
What does Agustin Martin Picard research?
Agustin Martin Picard's work is mostly in Computer Science (58%), Physics and Astronomy (7%), Materials Science (5%).
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 Sciences2477.7%
- Computer Science1858.0%
- Physics and Astronomy27.4%
- Materials Science24.9%
- Earth and Planetary Sciences13.7%
- Engineering13.7%
- Everything else722.3%
- 1Artificial Intelligence46% of their works
- 2Computer Vision and Pattern Recognition12% of their works
- 3Statistical and Nonlinear Physics7% of their works
- 4Materials Chemistry5% of their works
- 5Control and Systems Engineering4% of their works
- 6Atmospheric Science4% of their works
Research topics
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
- Model Reduction and Neural Networks
- Generative Adversarial Networks and Image Synthesis
- Adversarial Robustness in Machine Learning
- Target Tracking and Data Fusion in Sensor Networks
- Machine Learning in Materials Science
- Multimodal Machine Learning Applications
Which keywords describe Agustin Martin Picard's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Machine Learning, Interpretable Models, Machine Learning Interpretability, Machine Translation, Word Representation and Model Reduction.
- Image Captioning
- Particle Filters
- Materials Informatics
- Adversarial Examples
- Generative Adversarial Networks
- Model Reduction
- Machine Translation
- Interpretable Models
- Deep Learning
- Neural Networks
- Machine Learning
- Machine Learning Interpretability
- Word Representation
- Partial Differential Equations
- Image Synthesis
- High-Throughput
- Nonlinear Estimation
- Robustness
- Visual Question Answering
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
- Neural Networks194 topics
- Deep Learning184 topics
- Machine Learning143 topics
- Interpretable Models121 topic
- Machine Learning Interpretability121 topic
- Machine Translation71 topic
- Word Representation71 topic
- Model Reduction61 topic
- Partial Differential Equations61 topic
- Generative Adversarial Networks51 topic
- Image Synthesis51 topic
- Adversarial Examples41 topic
- High-Throughput41 topic
- Materials Informatics41 topic
- Nonlinear Estimation41 topic
- Particle Filters41 topic
- Robustness41 topic
- Image Captioning31 topic
- Visual Question Answering31 topic
Where does Agustin Martin Picard work?
Agustin Martin Picard's main affiliation in the publication record is IRT M2P, France.
How many publications and citations does Agustin Martin Picard have?
OpenAlex counts 31 works and 126 citations for Agustin Martin Picard, an h-index of 4, ranking #5,005,654 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.
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