Thomas Rückstieß

About

Thomas Rückstieß is a scholar working on Artificial Intelligence, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Thomas Rückstieß has authored 4 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Thomas Rückstieß’s work include Reinforcement Learning in Robotics (2 papers), Gene Regulatory Network Analysis (1 paper) and Evolutionary Algorithms and Applications (1 paper). Thomas Rückstieß is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Gene Regulatory Network Analysis (1 paper) and Evolutionary Algorithms and Applications (1 paper). Thomas Rückstieß collaborates with scholars based in Germany and Switzerland. Thomas Rückstieß's co-authors include Jürgen Schmidhuber, Frank Sehnke, Christian Osendorfer, Alex Graves, Jan Peters, Tom Schaul, Yi Sun, Daan Wierstra and Patrick van der Smagt and has published in prestigious journals such as Neural Networks, International Journal of Machine Learning and Cybernetics and Paladyn Journal of Behavioral Robotics.

In The Last Decade

Co-authorship network of co-authors of Thomas Rückstieß i

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Fields of papers citing papers by Thomas Rückstieß

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Rückstieß

Since Specialization

Citations

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