Martin Rufli

13 papers and 347 indexed citations i.

About

Martin Rufli is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Martin Rufli has authored 13 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Martin Rufli’s work include Robotic Path Planning Algorithms (11 papers), Distributed Multi-Agent Coordination and Control (6 papers) and Robotics and Sensor-Based Localization (5 papers). Martin Rufli is often cited by papers focused on Robotic Path Planning Algorithms (11 papers), Distributed Multi-Agent Coordination and Control (6 papers) and Robotics and Sensor-Based Localization (5 papers). Martin Rufli collaborates with scholars based in Switzerland and United States. Martin Rufli's co-authors include Roland Siegwart, Javier Alonso–Mora, Paul Beardsley, Davide Scaramuzza, Andreas Breitenmoser, Paul Furgale, Ulrich Schwesinger, Dave Ferguson and Д. И. Рухович and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Co-authorship network of co-authors of Martin Rufli i

Fields of papers citing papers by Martin Rufli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Rufli

Since Specialization
Citations

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