Andrea Censi

66 papers and 1.8k indexed citations i.

About

Andrea Censi is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Andrea Censi has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aerospace Engineering, 20 papers in Computer Vision and Pattern Recognition and 18 papers in Artificial Intelligence. Recurrent topics in Andrea Censi’s work include Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (9 papers) and Advanced Memory and Neural Computing (7 papers). Andrea Censi is often cited by papers focused on Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (9 papers) and Advanced Memory and Neural Computing (7 papers). Andrea Censi collaborates with scholars based in United States, Switzerland and Italy. Andrea Censi's co-authors include Davide Scaramuzza, Tobi Delbrück, Luca Carlone, Kostas Daniilidis, Emilio Frazzoli, Guillermo Gallego, Stefan Leutenegger, Andrew J. Davison, Garrick Orchard and Jörg Conradt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

In The Last Decade

Co-authorship network of co-authors of Andrea Censi i

Fields of papers citing papers by Andrea Censi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Censi

Since Specialization
Citations

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