François Fouss
François Fouss publishes mostly in Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems, on topics such as Complex Network Analysis Techniques, Advanced Clustering Algorithms Research and Recommender Systems and Techniques.
- World rank
- #98,172 of 1,633,909 ranked researchers
- Rank in Belgium
- #881 of 18,604
- Works
- 25
- Citations
- 346
- Citations per work
- 13.8
What does François Fouss research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Statistical and Nonlinear Physics24% of their works
- 2Artificial Intelligence21% of their works
- 3Information Systems21% of their works
- 4Computer Networks and Communications7% of their works
- 5Signal Processing7% of their works
- 6Software3% of their works
Research topics
Which keywords describe François Fouss's research?
The keywords of their largest research topics: Community Structure, Network Dynamics, Clustering Algorithms, Cluster Validation, Deep Learning, K-means, Neural Networks and Collaborative Filtering.
- Reinforcement Learning
- Machine Learning Interpretability
- Gene Set Enrichment Analysis
- Web Crawling
- Matrix Factorization
- Collaborative Filtering
- K-means
- Cluster Validation
- Network Dynamics
- Community Structure
- Clustering Algorithms
- Deep Learning
- Neural Networks
- GPS Trajectories
- Trajectory Data Mining
- Web Data Extraction
- Interpretable Models
- Protein-Protein Interaction Networks
- Robotics
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 19 words, with their numbers
- Community Structure61 topic
- Network Dynamics61 topic
- Clustering Algorithms52 topics
- Cluster Validation31 topic
- Deep Learning32 topics
- K-means31 topic
- Neural Networks32 topics
- Collaborative Filtering21 topic
- GPS Trajectories21 topic
- Matrix Factorization21 topic
- Trajectory Data Mining21 topic
- Web Crawling21 topic
- Web Data Extraction21 topic
- Gene Set Enrichment Analysis11 topic
- Interpretable Models11 topic
- Machine Learning Interpretability11 topic
- Protein-Protein Interaction Networks11 topic
- Reinforcement Learning11 topic
- Robotics11 topic
Where does François Fouss work?
François Fouss's main affiliation in the publication record is UCLouvain, Belgium.
How many publications and citations does François Fouss have?
Science Explorer counts 25 works and 346 citations for François Fouss, ranking #98,172 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.