Francesco Biscani

About

Francesco Biscani is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Francesco Biscani has authored 18 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 5 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Francesco Biscani’s work include Astro and Planetary Science (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Quantum chaos and dynamical systems (3 papers). Francesco Biscani is often cited by papers focused on Astro and Planetary Science (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Quantum chaos and dynamical systems (3 papers). Francesco Biscani collaborates with scholars based in Netherlands, Germany and France. Francesco Biscani's co-authors include Dario Izzo, Sante Carloni, Chit Hong Yam, James Biggs, Patricia Kenny, Paul T. Bauman, Amit Kapadia, Sumith Kulal and Jean‐Paul Pelteret and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Acta Astronautica and Parallel Computing.

In The Last Decade

Co-authorship network of co-authors of Francesco Biscani

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Biscani. A scholar is included among the top collaborators of Francesco Biscani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco Biscani. Francesco Biscani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Francesco Biscani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Biscani

Since Specialization

Citations

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