Francesco Amigoni

84 papers and 1.0k indexed citations i.

About

Francesco Amigoni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Francesco Amigoni has authored 84 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 32 papers in Artificial Intelligence and 32 papers in Computer Networks and Communications. Recurrent topics in Francesco Amigoni’s work include Robotic Path Planning Algorithms (28 papers), Robotics and Sensor-Based Localization (23 papers) and Optimization and Search Problems (21 papers). Francesco Amigoni is often cited by papers focused on Robotic Path Planning Algorithms (28 papers), Robotics and Sensor-Based Localization (23 papers) and Optimization and Search Problems (21 papers). Francesco Amigoni collaborates with scholars based in Italy, United States and Germany. Francesco Amigoni's co-authors include Nicola Basilico, Nicola Gatti, Jacopo Banfi, Matteo Luperto, Vincenzo Caglioti, Viola Schiaffonati, Alberto Quattrini Li, Α. Gallo, Simone Gasparini and Andrea Castelletti and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Water Resources Research and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of Francesco Amigoni i

Fields of papers citing papers by Francesco Amigoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Amigoni

Since Specialization
Citations

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