Stephan Günnemann
Stephan Günnemann publishes mostly in Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing, on topics such as Complex Network Analysis Techniques, Adversarial Robustness in Machine Learning and Anomaly Detection Techniques and Applications.
- World rank
- #17,535 of 1,633,909 ranked researchers
- Rank in Germany
- #1,536 of 86,443
- Works
- 109
- Citations
- 1.5k
- Citations per work
- 13.7
What does Stephan Günnemann research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence44% of their works
- 2Statistical and Nonlinear Physics8% of their works
- 3Signal Processing7% of their works
- 4Computer Vision and Pattern Recognition6% of their works
- 5Materials Chemistry4% of their works
- 6Computer Networks and Communications4% of their works
Research topics
Which keywords describe Stephan Günnemann's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, High-Dimensional Data, Clustering Algorithms, Community Structure, Network Dynamics and Adversarial Examples.
- Clustering
- Materials Informatics
- High-Throughput
- GPS Trajectories
- Cluster Validation
- Anomaly Detection
- Adversarial Examples
- Community Structure
- High-Dimensional Data
- Neural Networks
- Deep Learning
- Machine Learning
- Clustering Algorithms
- Network Dynamics
- Robustness
- Unsupervised
- K-means
- Graph Neural Networks
- Knowledge Graph Embedding
- Trajectory Data Mining
- Mixture Models
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
- Deep Learning273 topics
- Neural Networks202 topics
- Machine Learning182 topics
- High-Dimensional Data172 topics
- Clustering Algorithms152 topics
- Community Structure131 topic
- Network Dynamics131 topic
- Adversarial Examples111 topic
- Robustness111 topic
- Anomaly Detection91 topic
- Unsupervised91 topic
- Cluster Validation81 topic
- K-means81 topic
- GPS Trajectories71 topic
- Graph Neural Networks71 topic
- High-Throughput71 topic
- Knowledge Graph Embedding71 topic
- Materials Informatics71 topic
- Trajectory Data Mining71 topic
- Clustering51 topic
- Mixture Models51 topic
Where does Stephan Günnemann work?
Stephan Günnemann's main affiliation in the publication record is Technical University of Munich, Germany.
How many publications and citations does Stephan Günnemann have?
Science Explorer counts 109 works and 1,497 citations for Stephan Günnemann, ranking #17,535 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.