Kai Huebner

9 papers and 159 indexed citations
i
.

About

Kai Huebner is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai Huebner has authored 9 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 4 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai Huebner’s work include Robot Manipulation and Learning (8 papers), Reinforcement Learning in Robotics (3 papers) and Visual Attention and Saliency Detection (2 papers). Kai Huebner is often cited by papers focused on Robot Manipulation and Learning (8 papers), Reinforcement Learning in Robotics (3 papers) and Visual Attention and Saliency Detection (2 papers). Kai Huebner collaborates with scholars based in Sweden. Kai Huebner's co-authors include Danica Kragić, Carl Henrik Ek, Dan Song, Mårten Björkman, Jeannette Bohg and Yasemin Bekiroglu and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

Co-authorship network of co-authors of Kai Huebner

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

Fields of papers citing papers by Kai Huebner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Huebner

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026