B. Cannas

79 papers and 1.4k indexed citations i.

About

B. Cannas is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, B. Cannas has authored 79 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Nuclear and High Energy Physics, 26 papers in Artificial Intelligence and 14 papers in Aerospace Engineering. Recurrent topics in B. Cannas’s work include Magnetic confinement fusion research (32 papers), Chaos control and synchronization (13 papers) and Neural Networks and Applications (13 papers). B. Cannas is often cited by papers focused on Magnetic confinement fusion research (32 papers), Chaos control and synchronization (13 papers) and Neural Networks and Applications (13 papers). B. Cannas collaborates with scholars based in Italy, Germany and France. B. Cannas's co-authors include Alessandra Fanni, G. Sias, Silvano Cincotti, P. Sonato, Linda See, A. Murari, A. Pau, F. Pisano, G. Pautasso and Sara Carcangiu and has published in prestigious journals such as Review of Scientific Instruments, Neurocomputing and Chaos Solitons & Fractals.

In The Last Decade

Co-authorship network of co-authors of B. Cannas i

Fields of papers citing papers by B. Cannas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by B. Cannas

Since Specialization
Citations

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