Elia Kaufmann

21 papers and 972 indexed citations i.

About

Elia Kaufmann is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Elia Kaufmann has authored 21 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Elia Kaufmann’s work include Robotic Path Planning Algorithms (13 papers), Robotics and Sensor-Based Localization (10 papers) and Reinforcement Learning in Robotics (6 papers). Elia Kaufmann is often cited by papers focused on Robotic Path Planning Algorithms (13 papers), Robotics and Sensor-Based Localization (10 papers) and Reinforcement Learning in Robotics (6 papers). Elia Kaufmann collaborates with scholars based in Switzerland, United States and Germany. Elia Kaufmann's co-authors include Davide Scaramuzza, Philipp Foehn, Titus Cieslewski, Vladlen Koltun, Yunlong Song, Antonio Loquercio, Leonard Bauersfeld, Sihao Sun, Matthias Müller and René Ranftl and has published in prestigious journals such as Nature, IEEE Transactions on Robotics and Science Robotics.

In The Last Decade

Co-authorship network of co-authors of Elia Kaufmann i

Fields of papers citing papers by Elia Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elia Kaufmann

Since Specialization
Citations

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