Volker Tresp
Volker Tresp publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Topic Modeling, Advanced Graph Neural Networks and Multimodal Machine Learning Applications.
- World rank
- #105,033 of 7,710,434 ranked researchers
- Rank in Germany
- #5,597 of 364,343
- Works
- 450
- Citations
- 17k
- Citations per work
- 36.9
What does Volker Tresp research?
Volker Tresp's work is mostly in Computer Science (71%), Biochemistry, Genetics and Molecular Biology (4%), Decision Sciences (3%).
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 Sciences32071.0%
- Computer Science32071.0%
- Everything else10122.5%
- Life Sciences173.7%
- Social Sciences132.8%
- Decision Sciences132.8%
- 1Artificial Intelligence49% of their works
- 2Computer Vision and Pattern Recognition14% of their works
- 3Signal Processing4% of their works
- 4Information Systems4% of their works
- 5Molecular Biology4% of their works
- 6Management Science and Operations Research3% of their works
Research topics
Which keywords describe Volker Tresp's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Representation Learning, Semi-Supervised Learning, Machine Translation, Word Representation, Graph Neural Networks and Knowledge Graph Embedding.
- Record Linkage
- Data Cleaning
- Bayesian Networks
- Domain Adaptation
- Backpropagation Learning
- Image Captioning
- Knowledge Graph Embedding
- Word Representation
- Semi-Supervised Learning
- Deep Learning
- Neural Networks
- Representation Learning
- Machine Translation
- Graph Neural Networks
- Data Integration
- Visual Question Answering
- Self-Organizing Maps
- Transfer Learning
- Causal Inference
- Ontology
- Semantic Web
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Neural Networks1873 topics
- Deep Learning1753 topics
- Representation Learning1172 topics
- Semi-Supervised Learning1172 topics
- Machine Translation911 topic
- Word Representation911 topic
- Graph Neural Networks791 topic
- Knowledge Graph Embedding791 topic
- Data Integration602 topics
- Image Captioning511 topic
- Visual Question Answering511 topic
- Backpropagation Learning451 topic
- Self-Organizing Maps451 topic
- Domain Adaptation381 topic
- Transfer Learning381 topic
- Bayesian Networks311 topic
- Causal Inference311 topic
- Data Cleaning301 topic
- Ontology301 topic
- Record Linkage301 topic
- Semantic Web301 topic
Where does Volker Tresp work?
Volker Tresp's main affiliation in the publication record is Siemens (Germany), Germany.
How many publications and citations does Volker Tresp have?
OpenAlex counts 450 works and 16,597 citations for Volker Tresp, an h-index of 59, ranking #105,033 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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.
Discussion
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