Francesco Alemanno

22 papers and 181 indexed citations i.

About

Francesco Alemanno is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Francesco Alemanno has authored 22 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Statistical and Nonlinear Physics and 5 papers in Cognitive Neuroscience. Recurrent topics in Francesco Alemanno’s work include Neural Networks and Applications (12 papers), Model Reduction and Neural Networks (6 papers) and Theoretical and Computational Physics (5 papers). Francesco Alemanno is often cited by papers focused on Neural Networks and Applications (12 papers), Model Reduction and Neural Networks (6 papers) and Theoretical and Computational Physics (5 papers). Francesco Alemanno collaborates with scholars based in Italy, Israel and China. Francesco Alemanno's co-authors include Adriano Barra, Elena Agliari, Alberto Fachechi, M. S. Centonze, Ido Kanter, Loretta L. del Mercato, Riccardo Rizzo, Giuseppe Gigli, Anil Chandra and Dino Pedreschi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and ACS Nano.

In The Last Decade

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

Fields of papers citing papers by Francesco Alemanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Alemanno

Since Specialization
Citations

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