Julien Jacques
Julien Jacques publishes mostly in Artificial Intelligence, Organic Chemistry and Molecular Biology, on topics such as Bayesian Methods and Mixture Models, Gene expression and cancer classification and Organic Chemistry Cycloaddition Reactions.
- World rank
- #1,220,131 of 1,633,909 ranked researchers
- Rank in France
- #74,664 of 96,116
- Works
- 65
- Citations
- 30
- Citations per work
- 0.5
What does Julien Jacques research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence24% of their works
- 2Organic Chemistry9% of their works
- 3Molecular Biology8% of their works
- 4Electrical and Electronic Engineering4% of their works
- 5Statistics, Probability and Uncertainty4% of their works
- 6Statistics and Probability4% of their works
Research topics
- Bayesian Methods and Mixture Models
- Gene expression and cancer classification
- Organic Chemistry Cycloaddition Reactions
- Natural Language Processing Techniques
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Advanced Clustering Algorithms Research
- Data Management and Algorithms
Which keywords describe Julien Jacques's research?
The keywords of their largest research topics: Clustering, Clustering Algorithms, Deep Learning, High-Dimensional Data, Neural Networks, Bayesian Inference, Mixture Models and Anomaly Detection.
- Trajectory Data Mining
- Self-Organizing Maps
- Organic Chemistry
- Microarray
- Gene Expression
- Cluster Validation
- Anomaly Detection
- Bayesian Inference
- High-Dimensional Data
- Clustering Algorithms
- Clustering
- Deep Learning
- Neural Networks
- Mixture Models
- Backpropagation Learning
- GPS Trajectories
- K-means
- Neural Machine Translation
- Reactivity
- Statistical Machine Translation
- 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.
All 21 words, with their numbers
- Clustering52 topics
- Clustering Algorithms42 topics
- Deep Learning42 topics
- High-Dimensional Data42 topics
- Neural Networks42 topics
- Bayesian Inference31 topic
- Mixture Models31 topic
- Anomaly Detection21 topic
- Backpropagation Learning21 topic
- Cluster Validation21 topic
- GPS Trajectories21 topic
- Gene Expression21 topic
- K-means21 topic
- Microarray21 topic
- Neural Machine Translation21 topic
- Organic Chemistry21 topic
- Reactivity21 topic
- Self-Organizing Maps21 topic
- Statistical Machine Translation21 topic
- Trajectory Data Mining21 topic
- Unsupervised21 topic
Where does Julien Jacques work?
Julien Jacques's main affiliation in the publication record is Entrepôts, Représentation et Ingénierie des Connaissances, France.
How many publications and citations does Julien Jacques have?
Science Explorer counts 65 works and 30 citations for Julien Jacques, ranking #1,220,131 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.