Christoph Dann

59 total papers · 1.2k total citations
14 papers, 401 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 401 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 Gaussian Processes and Bayesian Inference (2 papers). Christoph Dann is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Advanced Bandit Algorithms Research (3 papers) and Gaussian Processes and Bayesian Inference (2 papers). Christoph Dann collaborates with scholars based in United States, Canada and Israel. Christoph Dann's co-authors include Christopher G. Lucas, Andrew Gordon Wilson, Eric P. Xing, Jan Peters, Gerhard Neumann, Emma Brunskill, Justin Reich, Michael Yeomans, Selen Türkay and René F. Kizilcec 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 384 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Christoph Dann	186	56	54	46	46	14	401
Andrew Kwok-Fai Lui	162 0.9×	76 1.4×	14 0.3×	63 1.4×	35 0.8×	43	405
Chan‐Jin Chung	218 1.2×	40 0.7×	14 0.3×	47 1.0×	89 1.9×	31	390
Antonio González-Pardo	121 0.7×	34 0.6×	31 0.6×	47 1.0×	19 0.4×	33	443
Sanjay Jasola	214 1.2×	29 0.5×	10 0.2×	54 1.2×	36 0.8×	21	437
Lily D. Li	98 0.5×	75 1.3×	21 0.4×	10 0.2×	18 0.4×	20	346
Elham S. Khorasani	135 0.7×	19 0.3×	68 1.3×	62 1.3×	50 1.1×	21	362
Thomas W. Mastaglio	114 0.6×	40 0.7×	38 0.7×	43 0.9×	6 0.1×	26	417
Daniel W. Lewis	85 0.5×	18 0.3×	17 0.3×	54 1.2×	24 0.5×	11	404
Susan Conry	151 0.8×	82 1.5×	35 0.6×	5 0.1×	26 0.6×	20	377
Albert N. Badre	64 0.3×	26 0.5×	35 0.6×	88 1.9×	14 0.3×	25	369

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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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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