Peter J. Huber
Peter J. Huber publishes mostly in Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, on topics such as Advanced Statistical Methods and Models, Advanced Statistical Process Monitoring and Statistical Methods and Inference.
- World rank
- #44,104 of 1,633,909 ranked researchers
- Rank in Germany
- #3,154 of 86,443
- Works
- 29
- Citations
- 2.7k
- Citations per work
- 94.7
What does Peter J. Huber research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Statistics and Probability25% of their works
- 2Statistics, Probability and Uncertainty10% of their works
- 3Artificial Intelligence8% of their works
- 4Signal Processing8% of their works
- 5Software5% of their works
- 6Management Science and Operations Research5% of their works
Research topics
Which keywords describe Peter J. Huber's research?
The keywords of their largest research topics: Principal Component Analysis, Multicollinearity, Regression Analysis, Healthcare Improvement, Statistical Process Control, Variable Selection, Deep Learning and Lasso.
- Multivariate Calibration
- Gaussian Processes
- Neuronal Oscillations
- Independent Component Analysis
- Blind Separation
- Lasso
- Variable Selection
- Healthcare Improvement
- Multicollinearity
- Principal Component Analysis
- Regression Analysis
- Statistical Process Control
- Deep Learning
- Regularization
- Cortical Networks
- Neural Networks
- Self-Organizing Maps
- Machine Learning
- Near-Infrared Spectroscopy
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
- Principal Component Analysis72 topics
- Multicollinearity61 topic
- Regression Analysis61 topic
- Healthcare Improvement41 topic
- Statistical Process Control41 topic
- Variable Selection42 topics
- Deep Learning32 topics
- Lasso31 topic
- Regularization31 topic
- Blind Separation21 topic
- Cortical Networks21 topic
- Independent Component Analysis21 topic
- Neural Networks21 topic
- Neuronal Oscillations21 topic
- Self-Organizing Maps21 topic
- Gaussian Processes11 topic
- Machine Learning11 topic
- Multivariate Calibration11 topic
- Near-Infrared Spectroscopy11 topic
Where does Peter J. Huber work?
Peter J. Huber's main affiliation in the publication record is University of Bayreuth, Germany.
How many publications and citations does Peter J. Huber have?
Science Explorer counts 29 works and 2,745 citations for Peter J. Huber, ranking #44,104 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.