Rasmus Pagh
Rasmus Pagh publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Advanced Image and Video Retrieval Techniques, Algorithms and Data Compression and Privacy-Preserving Technologies in Data.
- World rank
- #208,549 of 1,633,909 ranked researchers
- Rank in Denmark
- #1,565 of 10,734
- Works
- 62
- Citations
- 457
- Citations per work
- 7.4
What does Rasmus Pagh research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence37% of their works
- 2Computer Vision and Pattern Recognition25% of their works
- 3Computer Networks and Communications9% of their works
- 4Computational Theory and Mathematics8% of their works
- 5Signal Processing6% of their works
- 6Hardware and Architecture3% of their works
Research topics
Which keywords describe Rasmus Pagh's research?
The keywords of their largest research topics: Deep Learning, Feature Matching, Local Descriptors, Compression, Suffix Arrays, Machine Learning, Approximation Algorithms and Combinatorial Optimization.
- Random Projections
- Active Learning
- Homomorphic Encryption
- GPS Trajectories
- Differential Privacy
- Combinatorial Optimization
- Machine Learning
- Compression
- Feature Matching
- Deep Learning
- Local Descriptors
- Suffix Arrays
- Approximation Algorithms
- Complexity Theory
- Federated Learning
- Trajectory Data Mining
- Identity-Based Encryption
- Semi-Supervised Learning
- Stochastic Gradient Descent
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
- Deep Learning213 topics
- Feature Matching141 topic
- Local Descriptors141 topic
- Compression111 topic
- Suffix Arrays111 topic
- Machine Learning102 topics
- Approximation Algorithms92 topics
- Combinatorial Optimization61 topic
- Complexity Theory61 topic
- Differential Privacy61 topic
- Federated Learning61 topic
- GPS Trajectories61 topic
- Trajectory Data Mining61 topic
- Homomorphic Encryption51 topic
- Identity-Based Encryption51 topic
- Active Learning41 topic
- Semi-Supervised Learning41 topic
- Random Projections31 topic
- Stochastic Gradient Descent31 topic
Where does Rasmus Pagh work?
Rasmus Pagh's main affiliation in the publication record is IT University of Copenhagen, Denmark.
How many publications and citations does Rasmus Pagh have?
Science Explorer counts 62 works and 457 citations for Rasmus Pagh, ranking #208,549 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.