Philipp Schillinger

16 papers and 175 indexed citations i.

About

Philipp Schillinger is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Philipp Schillinger has authored 16 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Philipp Schillinger’s work include Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (7 papers) and Formal Methods in Verification (5 papers). Philipp Schillinger is often cited by papers focused on Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (7 papers) and Formal Methods in Verification (5 papers). Philipp Schillinger collaborates with scholars based in Germany, Sweden and United States. Philipp Schillinger's co-authors include Dimos V. Dimarogonas, Mathias Bürger, David C. Conner, Stefan Kohlbrecher, Oskar von Stryk, Leonel Rozo, Marco Todescato, Markus Spies, Andras Kupcsik and Hadas Kress‐Gazit and has published in prestigious journals such as The International Journal of Robotics Research, Robotics and Autonomous Systems and Robotics and Computer-Integrated Manufacturing.

In The Last Decade

Co-authorship network of co-authors of Philipp Schillinger i

Fields of papers citing papers by Philipp Schillinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philipp Schillinger

Since Specialization
Citations

This map shows the geographic impact of Philipp Schillinger'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 Philipp Schillinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Schillinger 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
2025