Matthias Kerzel

About

Matthias Kerzel is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthias Kerzel has authored 39 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Control and Systems Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthias Kerzel’s work include Robot Manipulation and Learning (14 papers), Reinforcement Learning in Robotics (9 papers) and Social Robot Interaction and HRI (6 papers). Matthias Kerzel is often cited by papers focused on Robot Manipulation and Learning (14 papers), Reinforcement Learning in Robotics (9 papers) and Social Robot Interaction and HRI (6 papers). Matthias Kerzel collaborates with scholars based in Germany, China and Egypt. Matthias Kerzel's co-authors include Stefan Wermter, Erik Strahl, Cornelius Weber, Manfred Eppe, Martin V. Butz, Chu Kiong Loo, Pablo Barros, Stefan Heinrich, Nikhil Churamani and Haiyan Wu and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Matthias Kerzel i

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Fields of papers citing papers by Matthias Kerzel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthias Kerzel

Since Specialization

Citations

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