Federico Magistri

25 papers and 264 indexed citations i.

About

Federico Magistri is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Federico Magistri has authored 25 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Aerospace Engineering. Recurrent topics in Federico Magistri’s work include Smart Agriculture and AI (16 papers), Robotics and Sensor-Based Localization (7 papers) and Remote Sensing and LiDAR Applications (7 papers). Federico Magistri is often cited by papers focused on Smart Agriculture and AI (16 papers), Robotics and Sensor-Based Localization (7 papers) and Remote Sensing and LiDAR Applications (7 papers). Federico Magistri collaborates with scholars based in Germany, United Kingdom and Italy. Federico Magistri's co-authors include Cyrill Stachniss, Nived Chebrolu, Jens Behley, Thomas Läbe, Marija Popović, Sven Behnke, Heiner Kuhlmann, Radu Alexandru Roşu, Stefan Paulus and Lasse Klingbeil and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Robotics.

In The Last Decade

Co-authorship network of co-authors of Federico Magistri i

Fields of papers citing papers by Federico Magistri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federico Magistri

Since Specialization
Citations

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