Dirk Ormoneit
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Bayesian Methods and Mixture Models
- Neural Networks and Applications
Papers in
-
- Gaussian Processes and Bayesian Inference 3
- Reinforcement Learning in Robotics 3
- Anomaly Detection Techniques and Applications 3
- Bayesian Methods and Mixture Models 2
- Target Tracking and Data Fusion in Sensor Networks 2
- Neural Networks and Applications 2
-
- Stock Market Forecasting Methods 2
- Co-authors
- P. Glynn (3 shared papers)Volker Tresp (2 shared papers)Trevor Hastie (4 shared papers)Michael J. Black (2 shared papers)Daphne Koller (2 shared papers)Hannah J. White (1 shared paper)Ralph Neuneier (2 shared papers)Urszula Chajewska (1 shared paper)
- Journals
- Neural Networks (1 paper)Econometric Reviews (1 paper)IEEE Transactions on Automatic Control (1 paper)Image and Vision Computing (1 paper)Machine Learning (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Dirk Ormoneit
17 papers receiving 784 citations
Peers
Comparison fields: 5 of 96
- Statistics and Probability 97
- Artificial Intelligence 393
- Management Science and Operations Research 126
- Computer Vision and Pattern Recognition 189
- Control and Systems Engineering 145
Countries citing papers authored by Dirk Ormoneit
This map shows the geographic impact of Dirk Ormoneit'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 Dirk Ormoneit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Ormoneit more than expected).
Fields of papers citing papers by Dirk Ormoneit
This network shows the impact of papers produced by Dirk Ormoneit. 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 Dirk Ormoneit. The network helps show where Dirk Ormoneit may publish in the future.
Co-authors
The 15 scholars most cited alongside Dirk Ormoneit, 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 | 2002 | 213 | |
| 2 | 2002 | 85 | |
| 3 | 1998 | 76 | |
| 4 | Learning and Tracking Cyclic Human Motion | 2000 | 68 |
| 5 | Learning an Agent's Utility Function by Observing Behavior | 2001 | 66 |
| 6 | 2005 | 56 | |
| 7 | 1999 | 55 | |
| 8 | Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging | 1995 | 48 |
| 9 | 1994 | 40 | |
| 10 | 2002 | 39 | |
| 11 | 2002 | 25 | |
| 12 | Probabilistic Abstraction Hierarchies | 2001 | 18 |
| 13 | Learning and Tracking Human Motion Using Functional Analysis | 2000 | 18 |
| 14 | 1999 | 12 | |
| 15 | Kernel-Based Reinforcement Learning in Average-Cost Problems: An Application to Optimal Portfolio Choice | 2000 | 12 |
| 16 | Optimal kernel shapes for local linear regression | 1999 | 7 |
| 17 | Stochastic modeling and tracking of human motion | 2000 | 1 |
About Dirk Ormoneit
Dirk Ormoneit is a scholar working on Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, Computer Vision and Pattern Recognition and Physical Therapy, Sports Therapy and Rehabilitation, having authored 17 papers that have together received 839 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (3 papers), Reinforcement Learning in Robotics (3 papers), Anomaly Detection Techniques and Applications (3 papers), Bayesian Methods and Mixture Models (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Neural Networks and Applications (2 papers), Stock Market Forecasting Methods (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Statistics and Probability (97 citations), Artificial Intelligence (393 citations), Management Science and Operations Research (126 citations), Computer Vision and Pattern Recognition (189 citations) and Control and Systems Engineering (145 citations). Dirk Ormoneit has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include P. Glynn, Volker Tresp, Trevor Hastie, Michael J. Black, Daphne Koller, Hannah J. White, Ralph Neuneier, Urszula Chajewska, Hedvig Sidenbladh and Hedvig Kjellström. Their work appears in journals such as Neural Networks, Econometric Reviews, IEEE Transactions on Automatic Control, Image and Vision Computing and Machine Learning.
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.