Christoph Dann

14 papers and 264 indexed citations i.

About

Christoph Dann is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Christoph Dann has authored 14 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Computer Networks and Communications. Recurrent topics in Christoph Dann’s work include Reinforcement Learning in Robotics (8 papers), Machine Learning and Algorithms (4 papers) and Advanced Bandit Algorithms Research (3 papers). Christoph Dann is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Machine Learning and Algorithms (4 papers) and Advanced Bandit Algorithms Research (3 papers). Christoph Dann collaborates with scholars based in United States, Canada and Australia. Christoph Dann's co-authors include Emma Brunskill, Gerhard Neumann, Jan Peters, Joseph Jay Williams, Justin Reich, Selen Türkay, Dustin Tingley, Glenn Lopez, René F. Kizilcec and Michael Yeomans 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

Co-authorship network of co-authors of Christoph Dann i

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.

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).

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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2025