Sepp Hochreiter
Sepp Hochreiter publishes mostly in Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, on topics such as Computational Drug Discovery Methods, Neural Networks and Applications and Hydrology and Watershed Management Studies.
- World rank
- #91,769 of 7,710,434 ranked researchers
- Rank in Austria
- #839 of 43,330
- Works
- 318
- Citations
- 129k
- Citations per work
- 404.5
What does Sepp Hochreiter research?
Sepp Hochreiter's work is mostly in Computer Science (40%), Biochemistry, Genetics and Molecular Biology (16%), Environmental Science (8%).
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 Sciences15348.0%
- Computer Science12739.9%
- Environmental Science268.1%
- Everything else11636.5%
- Life Sciences4915.5%
- 1Artificial Intelligence26% of their works
- 2Molecular Biology16% of their works
- 3Computer Vision and Pattern Recognition8% of their works
- 4Computational Theory and Mathematics6% of their works
- 5Environmental Engineering4% of their works
- 6Water Science and Technology4% of their works
Research topics
Which keywords describe Sepp Hochreiter's research?
The keywords of their largest research topics: Machine Learning, Artificial Neural Networks, Water Resources, Climate Change, Hydrological Modeling, Neural Networks, Molecular Docking and Virtual Screening.
- Word Representation
- Machine Translation
- Microarray
- Remote Sensing
- Hydrology
- Model Evaluation
- Self-Organizing Maps
- Virtual Screening
- Neural Networks
- Climate Change
- Artificial Neural Networks
- Machine Learning
- Water Resources
- Hydrological Modeling
- Molecular Docking
- Backpropagation Learning
- Global Hydrology
- Forecasting
- Flood Risk
- Gene Expression
- High-Throughput
- Materials Informatics
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 22 words, with their numbers
- Machine Learning1204 topics
- Artificial Neural Networks642 topics
- Water Resources632 topics
- Climate Change602 topics
- Hydrological Modeling602 topics
- Neural Networks582 topics
- Molecular Docking401 topic
- Virtual Screening401 topic
- Backpropagation Learning341 topic
- Self-Organizing Maps341 topic
- Global Hydrology331 topic
- Model Evaluation331 topic
- Forecasting301 topic
- Hydrology301 topic
- Flood Risk271 topic
- Remote Sensing271 topic
- Gene Expression261 topic
- Microarray261 topic
- High-Throughput241 topic
- Machine Translation241 topic
- Materials Informatics241 topic
- Word Representation241 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?
OpenAlex counts 318 works and 128,644 citations for Sepp Hochreiter, an h-index of 54, ranking #91,769 of 7,710,434 researchers worldwide on the quality 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.
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