Alexandre Perez-Lebel
Alexandre Perez-Lebel publishes mostly in Artificial Intelligence, Cognitive Neuroscience and Statistics and Probability, on topics such as Functional Brain Connectivity Studies, Bayesian Modeling and Causal Inference and Explainable Artificial Intelligence (XAI).
- World rank
- #2,433,166 of 7,710,434 ranked researchers
- Rank in Canada
- #79,815 of 183,316
- Works
- 41
- Citations
- 1.4k
- Citations per work
- 34.1
What does Alexandre Perez-Lebel research?
Alexandre Perez-Lebel's work is mostly in Computer Science (33%), Neuroscience (13%), Mathematics (13%).
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 Sciences2152.1%
- Computer Science1332.6%
- Mathematics513.0%
- Environmental Science36.5%
- Everything else1126.3%
- Life Sciences513.0%
- Neuroscience513.0%
- Health Sciences24.3%
- Medicine24.3%
- Social Sciences24.3%
- Decision Sciences24.3%
- 1Artificial Intelligence33% of their works
- 2Cognitive Neuroscience13% of their works
- 3Statistics and Probability13% of their works
- 4Health, Toxicology and Mutagenesis6% of their works
- 5Statistics, Probability and Uncertainty4% of their works
- 6Epidemiology4% of their works
Research topics
- Functional Brain Connectivity Studies
- Bayesian Modeling and Causal Inference
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Healthcare
- Health, Environment, Cognitive Aging
- Adversarial Robustness in Machine Learning
- Imbalanced Data Classification Techniques
- Statistical Methods and Bayesian Inference
Which keywords describe Alexandre Perez-Lebel's research?
The keywords of their largest research topics: Deep Learning, Functional Connectivity, Resting-State fMRI, Bayesian Networks, Causal Inference, Electronic Health Records, Environmental Exposure and Exposome.
- Multiple Imputation
- Classification
- Adversarial Examples
- Interpretable Models
- Exposome
- Electronic Health Records
- Bayesian Networks
- Functional Connectivity
- Deep Learning
- Resting-State fMRI
- Causal Inference
- Environmental Exposure
- Healthcare
- Machine Learning Interpretability
- Bayesian Modeling
- Imbalanced Data
- Robustness
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 17 words, with their numbers
- Deep Learning52 topics
- Functional Connectivity51 topic
- Resting-State fMRI51 topic
- Bayesian Networks31 topic
- Causal Inference31 topic
- Electronic Health Records31 topic
- Environmental Exposure31 topic
- Exposome31 topic
- Healthcare31 topic
- Interpretable Models31 topic
- Machine Learning Interpretability31 topic
- Adversarial Examples21 topic
- Bayesian Modeling21 topic
- Classification21 topic
- Imbalanced Data21 topic
- Multiple Imputation21 topic
- Robustness21 topic
Where does Alexandre Perez-Lebel work?
Alexandre Perez-Lebel's main affiliation in the publication record is McGill University, Canada.
How many publications and citations does Alexandre Perez-Lebel have?
OpenAlex counts 41 works and 1,397 citations for Alexandre Perez-Lebel, an h-index of 5, ranking #2,433,166 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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