Christoph Dann

1.2k total citations
14 papers, 406 citations indexed

About

Christoph Dann is a scholar working on Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, Christoph Dann has authored 14 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Control and Systems Engineering. Recurrent topics in Christoph Dann's work include Reinforcement Learning in Robotics (7 papers), Advanced Bandit Algorithms Research (3 papers) and Evolutionary Algorithms and Applications (2 papers). Christoph Dann is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Advanced Bandit Algorithms Research (3 papers) and Evolutionary Algorithms and Applications (2 papers). Christoph Dann collaborates with scholars based in United States, Canada and United Kingdom. Christoph Dann's co-authors include Eric P. Xing, Andrew Gordon Wilson, Christopher G. Lucas, Gerhard Neumann, Jan Peters, Emma Brunskill, René F. Kizilcec, Justin Reich, Michael Yeomans and Dustin Tingley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Machine Learning Research.

In The Last Decade

Christoph Dann

13 papers receiving 387 citations

Peers

Christoph Dann

CSA

MSOR

CVPR

CTM

Dario Malchiodi Italy

Andrew Kwok-Fai Lui Hong Kong

Dunwei Wen Canada

Chan‐Jin Chung United States

Mahadevan Subramaniam United States

Sanjay Jasola India

Dante Augusto Couto Barone Brazil

Chi‐Un Lei Hong Kong

Marjorie Darrah United States

Mohamed El Bachir Menaï Saudi Arabia

Dario Malchiodi Italy

Christoph Dann

139 ×0.7

84 ×1.5

CSA

15 ×0.3

MSOR

47 ×1.0

CVPR

43 ×0.9

CTM

Citations per year, relative to Christoph Dann Christoph Dann (= 1×) peers Dario Malchiodi

Countries citing papers authored by Christoph Dann

Since Specialization

Citations

This map shows the geographic impact of Christoph Dann'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 Christoph Dann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Dann more than expected).

Fields of papers citing papers by Christoph Dann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christoph Dann. 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 Christoph Dann. The network helps show where Christoph Dann may publish in the future.

Co-authorship network of co-authors of Christoph Dann

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Dann. A scholar is included among the top collaborators of Christoph Dann 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 Christoph Dann. Christoph Dann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Dann, Christoph, et al.. (2022). A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning. arXiv (Cornell University). 34. 1 indexed citations

Dann, Christoph, et al.. (2021). Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations. Neural Information Processing Systems. 34. 1 indexed citations

Cutkosky, Ashok, Christoph Dann, Abhimanyu Das, et al.. (2021). Dynamic Balancing for Model Selection in Bandits and RL. 2276–2285. 1 indexed citations

Kizilcec, René F., Justin Reich, Michael Yeomans, et al.. (2020). Scaling up behavioral science interventions in online education. Proceedings of the National Academy of Sciences. 117(26). 14900–14905. 100 indexed citations

Dann, Christoph, Nan Jiang, Akshay Krishnamurthy, et al.. (2018). On Oracle-Efficient PAC RL with Rich Observations. arXiv (Cornell University). 31. 1422–1432. 1 indexed citations

Dann, Christoph, Tor Lattimore, & Emma Brunskill. (2017). Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning. Neural Information Processing Systems. 30. 5713–5723. 20 indexed citations

Dann, Christoph, et al.. (2017). Automated matching of pipeline corrosion features from in-line inspection data. Reliability Engineering & System Safety. 162. 40–50. 29 indexed citations

Thomas, Philip S., Bruno Castro da Silva, Christoph Dann, & Emma Brunskill. (2016). Energetic natural gradient descent. International Conference on Machine Learning. 2887–2895. 2 indexed citations

Dann, Christoph, et al.. (2016). Bayesian Time-of-Flight for Realtime Shape, Illumination and Albedo. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(5). 851–864. 27 indexed citations

10.

Dann, Christoph & Emma Brunskill. (2015). Sample complexity of episodic fixed-horizon reinforcement learning. arXiv (Cornell University). 28. 2818–2826. 9 indexed citations

11.

Wilson, Andrew Gordon, Christoph Dann, Christopher G. Lucas, & Eric P. Xing. (2015). The human kernel. Neural Information Processing Systems. 28. 2854–2862. 6 indexed citations

12.

Geramifard, Alborz, et al.. (2015). RLPy: a value-function-based reinforcement learning framework for education and research. Journal of Machine Learning Research. 16(1). 1573–1578. 17 indexed citations

13.

Wilson, Andrew Gordon, Christoph Dann, Christopher G. Lucas, & Eric P. Xing. (2015). Proceedings for 20th Annual Conference on Neural Information Processing Systems (NIPS). 117 indexed citations

14.

Dann, Christoph, Gerhard Neumann, & Jan Peters. (2014). Policy evaluation with temporal differences: a survey and comparison. Journal of Machine Learning Research. 15(1). 809–883. 75 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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