Dirk Ormoneit

1.2k total citations
17 papers, 714 citations indexed

About

Dirk Ormoneit is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Dirk Ormoneit has authored 17 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Management Science and Operations Research. Recurrent topics in Dirk Ormoneit's work include Reinforcement Learning in Robotics (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Dirk Ormoneit is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Dirk Ormoneit collaborates with scholars based in United States, Germany and Sweden. Dirk Ormoneit's co-authors include Peter W. Glynn, Volker Tresp, Trevor Hastie, Hannah J. White, Michael J. Black, Daphne Koller, Urszula Chajewska, Hedvig Sidenbladh, Hedvig Kjellström and Ralph Neuneier and has published in prestigious journals such as IEEE Transactions on Automatic Control, Neural Networks and Machine Learning.

In The Last Decade

Dirk Ormoneit

17 papers receiving 661 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dirk Ormoneit United States	13	319	157	121	115	90	17	714
T. Downs Australia	13	326 1.0×	170 1.1×	65 0.5×	63 0.5×	45 0.5×	36	569
Qi Lei China	12	266 0.8×	96 0.6×	26 0.2×	55 0.5×	35 0.4×	35	656
Zhuoran Yang United States	15	461 1.4×	49 0.3×	127 1.0×	150 1.3×	171 1.9×	79	843
Fuyuan Xiao China	16	442 1.4×	62 0.4×	99 0.8×	334 2.9×	194 2.2×	53	1.0k
Olivia Mendoza Mexico	16	654 2.1×	364 2.3×	160 1.3×	221 1.9×	113 1.3×	42	1.2k
Patrick Maupin Canada	12	470 1.5×	129 0.8×	61 0.5×	134 1.2×	93 1.0×	36	705
Alessio Benavoli Switzerland	15	491 1.5×	31 0.2×	157 1.3×	76 0.7×	67 0.7×	72	754
John T. Rickard United States	11	347 1.1×	43 0.3×	41 0.3×	177 1.5×	86 1.0×	39	695
K. Mehrotra United States	15	585 1.8×	167 1.1×	113 0.9×	38 0.3×	46 0.5×	41	1.0k
Thomas B�ck Netherlands	3	547 1.7×	93 0.6×	158 1.3×	63 0.5×	189 2.1×	3	1.0k

Countries citing papers authored by Dirk Ormoneit

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dirk Ormoneit

This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Ormoneit. A scholar is included among the top collaborators of Dirk Ormoneit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dirk Ormoneit. Dirk Ormoneit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Guestrin, Carlos & Dirk Ormoneit. (2013). Robust Combination of Local Controllers. arXiv (Cornell University). 178–185. 2 indexed citations

Ormoneit, Dirk, Michael J. Black, Trevor Hastie, & Hedvig Kjellström. (2005). Representing cyclic human motion using functional analysis. Image and Vision Computing. 23(14). 1264–1276. 52 indexed citations

Ormoneit, Dirk & Ralph Neuneier. (2002). Experiments in predicting the German stock index DAX with density estimating neural networks. 66–71. 26 indexed citations

Glynn, Peter W. & Dirk Ormoneit. (2002). Hoeffding's inequality for uniformly ergodic Markov chains. Statistics & Probability Letters. 56(2). 143–146. 76 indexed citations

Ormoneit, Dirk, et al.. (2002). Kernel-Based Reinforcement Learning. Machine Learning. 49(2-3). 161–178. 176 indexed citations

Ormoneit, Dirk & Peter W. Glynn. (2002). Kernel-based reinforcement learning in average-cost problems. IEEE Transactions on Automatic Control. 47(10). 1624–1636. 40 indexed citations

Segal, Eran, Daphne Koller, & Dirk Ormoneit. (2001). Probabilistic Abstraction Hierarchies. Neural Information Processing Systems. 14. 913–920. 17 indexed citations

Chajewska, Urszula, Daphne Koller, & Dirk Ormoneit. (2001). Learning an Agent's Utility Function by Observing Behavior. International Conference on Machine Learning. 35–42. 53 indexed citations

Ormoneit, Dirk & Peter W. Glynn. (2000). Kernel-Based Reinforcement Learning in Average-Cost Problems: An Application to Optimal Portfolio Choice. Neural Information Processing Systems. 13. 1068–1074. 12 indexed citations

10.

Ormoneit, Dirk, Hedvig Sidenbladh, Michael J. Black, & Trevor Hastie. (2000). Learning and Tracking Cyclic Human Motion. Neural Information Processing Systems. 894–900. 57 indexed citations

11.

Ormoneit, Dirk, Hedvig Sidenbladh, & Michael J. Black. (2000). Stochastic modeling and tracking of human motion. 1 indexed citations

12.

Ormoneit, Dirk, Hedvig Sidenbladh, Trevor Hastie, & David J. Fleet. (2000). Learning and Tracking Human Motion Using Functional Analysis. 14 indexed citations

13.

Ormoneit, Dirk. (1999). A regularization approach to continuous learning with an application to financial derivatives pricing. Neural Networks. 12(10). 1405–1412. 14 indexed citations

14.

Ormoneit, Dirk & Hannah J. White. (1999). An efficient algorithm to compute maximum entropy densities. Econometric Reviews. 18(2). 127–140. 57 indexed citations

15.

Ormoneit, Dirk & Trevor Hastie. (1999). Optimal kernel shapes for local linear regression. 7 indexed citations

16.

Ormoneit, Dirk & Volker Tresp. (1998). Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates. IEEE Transactions on Neural Networks. 9(4). 639–650. 66 indexed citations

17.

Ormoneit, Dirk & Volker Tresp. (1995). Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging. Neural Information Processing Systems. 8. 542–548. 44 indexed citations

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.

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