Roland Hafner

12 papers and 356 indexed citations i.

About

Roland Hafner is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Roland Hafner has authored 12 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 2 papers in Computational Theory and Mathematics. Recurrent topics in Roland Hafner’s work include Reinforcement Learning in Robotics (8 papers), Adversarial Robustness in Machine Learning (3 papers) and Bayesian Methods and Mixture Models (2 papers). Roland Hafner is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Adversarial Robustness in Machine Learning (3 papers) and Bayesian Methods and Mixture Models (2 papers). Roland Hafner collaborates with scholars based in Germany, United States and United Kingdom. Roland Hafner's co-authors include Martin Riedmiller, Thomas Gabel, Sascha Lange, Thomas Lampe, Michael Neunert, Nicolas Heess, Jost Tobias Springenberg, Tom Van de Wiele, Jonas Degrave and Volodymyr Mnih and has published in prestigious journals such as Machine Learning, Journal of Applied Probability and Autonomous Robots.

In The Last Decade

Co-authorship network of co-authors of Roland Hafner i

Fields of papers citing papers by Roland Hafner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roland Hafner

Since Specialization
Citations

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