Philipp Krüsi

7 papers and 317 indexed citations i.

About

Philipp Krüsi is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Philipp Krüsi has authored 7 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Biomedical Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Philipp Krüsi’s work include Robotic Path Planning Algorithms (7 papers), Robotic Locomotion and Control (5 papers) and Robotics and Sensor-Based Localization (4 papers). Philipp Krüsi is often cited by papers focused on Robotic Path Planning Algorithms (7 papers), Robotic Locomotion and Control (5 papers) and Robotics and Sensor-Based Localization (4 papers). Philipp Krüsi collaborates with scholars based in Switzerland. Philipp Krüsi's co-authors include Roland Siegwart, Martin Wermelinger, Remo Diethelm, Marco Hutter, Péter Fankhauser, Paul Furgale, Michael Bosse, François Pomerleau, Ulrich Schwesinger and Marcin Dymczyk and has published in prestigious journals such as Journal of Field Robotics, Repository for Publications and Research Data (ETH Zurich) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

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

Fields of papers citing papers by Philipp Krüsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philipp Krüsi

Since Specialization
Citations

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