Tomas Pfister
Tomas Pfister publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Natural Language Processing Techniques, Topic Modeling and Explainable Artificial Intelligence (XAI).
- World rank
- #53,982 of 1,633,909 ranked researchers
- Rank in United States
- #24,681 of 358,040
- Works
- 46
- Citations
- 394
- Citations per work
- 8.6
What does Tomas Pfister research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence51% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Computer Networks and Communications6% of their works
- 4Information Systems4% of their works
- 5Modeling and Simulation4% of their works
- 6Economics and Econometrics2% of their works
Research topics
Which keywords describe Tomas Pfister's research?
The keywords of their largest research topics: Neural Machine Translation, Neural Networks, Statistical Machine Translation, Word Representation, Deep Learning, Deep Neural Networks, Image Classification and Active Learning.
- Cognitive Control
- Modeling
- Machine Learning
- Image Recognition
- Convolutional Neural Networks
- Active Learning
- Deep Neural Networks
- Word Representation
- Neural Networks
- Neural Machine Translation
- Statistical Machine Translation
- Deep Learning
- Image Classification
- COVID-19
- Hyperparameter Optimization
- Interpretable Models
- Machine Learning Interpretability
- Noisy Labels
- Neural Mechanisms
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
- Neural Machine Translation61 topic
- Neural Networks61 topic
- Statistical Machine Translation61 topic
- Word Representation61 topic
- Deep Learning42 topics
- Deep Neural Networks42 topics
- Image Classification42 topics
- Active Learning21 topic
- COVID-1921 topic
- Convolutional Neural Networks21 topic
- Hyperparameter Optimization21 topic
- Image Recognition21 topic
- Interpretable Models21 topic
- Machine Learning21 topic
- Machine Learning Interpretability21 topic
- Modeling21 topic
- Noisy Labels21 topic
- Cognitive Control11 topic
- Neural Mechanisms11 topic
Where does Tomas Pfister work?
Tomas Pfister's main affiliation in the publication record is Google (United States), United States.
How many publications and citations does Tomas Pfister have?
Science Explorer counts 46 works and 394 citations for Tomas Pfister, ranking #53,982 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.