Malte Kuß
Impact in
- Artificial Intelligence top 5%
- Gaussian Processes and Bayesian Inference
- Reinforcement Learning in Robotics
- Neural Networks and Applications
- Bayesian Methods and Mixture Models
- Statistics and Probability top 5%
Papers in
-
- Gaussian Processes and Bayesian Inference 6
- Neural Networks and Applications 2
-
- Spectroscopy and Chemometric Analyses 3
- Co-authors
- Carl Edward Rasmussen (5 shared papers)Felix A. Wichmann (2 shared papers)Frank Jäkel (2 shared papers)Lehel Csató (1 shared paper)Andreas S. Tolias (1 shared paper)Bernhard Schölkopf (1 shared paper)Alexander Zien (1 shared paper)Nikos K. Logothetis (1 shared paper)
- Journals
- Journal of Machine Learning Research (1 paper)Journal of Vision (1 paper)Journal of Visualization (1 paper)Max Planck Institute for Plasma Physics (1 paper)MPG.PuRe (Max Planck Society) (4 papers)
- Partner nations
- Germany
In The Last Decade
Malte Kuß
11 papers receiving 506 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 302
- Statistics and Probability 60
- Cognitive Neuroscience 123
- Control and Systems Engineering 104
- Sensory Systems 19
Countries citing papers authored by Malte Kuß
This map shows the geographic impact of Malte Kuß's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Malte Kuß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malte Kuß more than expected).
Fields of papers citing papers by Malte Kuß
This network shows the impact of papers produced by Malte Kuß. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Malte Kuß. The network helps show where Malte Kuß may publish in the future.
Co-authors
The 10 scholars most cited alongside Malte Kuß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 167 | |
| 2 | Gaussian Processes in Reinforcement Learning | 2003 | 114 |
| 3 | 2005 | 111 | |
| 4 | The Geometry Of Kernel Canonical Correlation Analysis | 2003 | 61 |
| 5 | Prediction on Spike Data Using Kernel Algorithms | 2003 | 19 |
| 6 | Nonstationary Gaussian Process Regression using a Latent Extension of the Input Space | 2006 | 18 |
| 7 | Assessing Approximations for Gaussian Process Classification | 2005 | 16 |
| 8 | Bayesian inference for psychometric functions | 2005 | 13 |
| 9 | Approximate inference for robust Gaussian process regression | 2005 | 10 |
| 10 | Approximate Bayesian Inference for Psychometric Functions using MCMC Sampling | 2005 | 2 |
| 11 | Nonlinear Multivariate Analysis with Geodesic Kernels | 2002 | 1 |
About Malte Kuß
Malte Kuß is a scholar working on Artificial Intelligence, Analytical Chemistry, Statistics and Probability, Control and Systems Engineering and Cognitive Neuroscience, having authored 11 papers that have together received 532 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (6 papers), Spectroscopy and Chemometric Analyses (3 papers), Advanced Statistical Methods and Models (3 papers), Neural Networks and Applications (2 papers), Blind Source Separation Techniques (2 papers), Face and Expression Recognition (1 paper), Fault Detection and Control Systems (1 paper) and Statistical Mechanics and Entropy (1 paper). The work is most often cited by research in Artificial Intelligence (302 citations), Statistics and Probability (60 citations), Cognitive Neuroscience (123 citations), Control and Systems Engineering (104 citations) and Sensory Systems (19 citations). Malte Kuß has collaborated with scholars based in Germany. Frequent co-authors include Carl Edward Rasmussen, Felix A. Wichmann, Frank Jäkel, Lehel Csató, Andreas S. Tolias, Bernhard Schölkopf, Alexander Zien, Nikos K. Logothetis, J Eichhorn and Jason Weston. Their work appears in journals such as Journal of Machine Learning Research, Journal of Vision, Journal of Visualization, Max Planck Institute for Plasma Physics and MPG.PuRe (Max Planck Society).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.