Daniel Kappler

19 papers and 313 indexed citations i.

About

Daniel Kappler is a scholar working on Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Daniel Kappler has authored 19 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Daniel Kappler’s work include Robot Manipulation and Learning (11 papers), Reinforcement Learning in Robotics (4 papers) and Soft Robotics and Applications (3 papers). Daniel Kappler is often cited by papers focused on Robot Manipulation and Learning (11 papers), Reinforcement Learning in Robotics (4 papers) and Soft Robotics and Applications (3 papers). Daniel Kappler collaborates with scholars based in United States, Germany and United Kingdom. Daniel Kappler's co-authors include Jeannette Bohg, Stefan Schaal, Franziska Meier, Nathan Ratliff, Tamim Asfour, Stefan Schaal, Markus Przybylski, Manuel Wüthrich, Lillian Chang and Rüdiger Dillmann and has published in prestigious journals such as The International Journal of Robotics Research, Robotics and Autonomous Systems and IEEE Robotics and Automation Letters.

In The Last Decade

Co-authorship network of co-authors of Daniel Kappler i

Fields of papers citing papers by Daniel Kappler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Kappler

Since Specialization
Citations

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