Sepp Hochreiter
Sepp Hochreiter publishes mostly in Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, on topics such as Topic Modeling, Hydrological Forecasting Using AI and Hydrology and Watershed Management Studies.
- World rank
- #42,256 of 1,633,909 ranked researchers
- Rank in Austria
- #407 of 10,230
- Works
- 69
- Citations
- 657
- Citations per work
- 9.5
What does Sepp Hochreiter research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence29% of their works
- 2Molecular Biology14% of their works
- 3Computer Vision and Pattern Recognition6% of their works
- 4Water Science and Technology5% of their works
- 5Environmental Engineering5% of their works
- 6Global and Planetary Change4% of their works
Research topics
Which keywords describe Sepp Hochreiter's research?
The keywords of their largest research topics: Neural Networks, Machine Learning, Deep Learning, Water Resources, Climate Change, Hydrological Modeling, Support Vector Machines and Artificial Neural Networks.
- Self-Organizing Maps
- Backpropagation Learning
- Subcellular Localization
- Remote Sensing
- Protein
- Word Representation
- Machine Translation
- Global Hydrology
- Artificial Neural Networks
- Hydrological Modeling
- Water Resources
- Machine Learning
- Neural Networks
- Deep Learning
- Climate Change
- Support Vector Machines
- Forecasting
- Hydrology
- Model Evaluation
- Flood Risk
- Reinforcement Learning
- Robotics
- Adversarial Examples
- Robustness
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 24 words, with their numbers
- Neural Networks154 topics
- Machine Learning123 topics
- Deep Learning103 topics
- Water Resources102 topics
- Climate Change92 topics
- Hydrological Modeling92 topics
- Support Vector Machines92 topics
- Artificial Neural Networks82 topics
- Forecasting51 topic
- Global Hydrology51 topic
- Hydrology51 topic
- Machine Translation51 topic
- Model Evaluation51 topic
- Word Representation51 topic
- Flood Risk41 topic
- Protein41 topic
- Reinforcement Learning41 topic
- Remote Sensing41 topic
- Robotics41 topic
- Subcellular Localization41 topic
- Adversarial Examples31 topic
- Backpropagation Learning31 topic
- Robustness31 topic
- Self-Organizing Maps31 topic
Where does Sepp Hochreiter work?
Sepp Hochreiter's main affiliation in the publication record is Johannes Kepler University of Linz, Austria.
How many publications and citations does Sepp Hochreiter have?
Science Explorer counts 69 works and 657 citations for Sepp Hochreiter, ranking #42,256 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.