Alberto Fachechi

27 papers and 272 indexed citations i.

About

Alberto Fachechi is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Alberto Fachechi has authored 27 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistical and Nonlinear Physics, 10 papers in Artificial Intelligence and 7 papers in Condensed Matter Physics. Recurrent topics in Alberto Fachechi’s work include Neural Networks and Applications (9 papers), Theoretical and Computational Physics (7 papers) and Black Holes and Theoretical Physics (6 papers). Alberto Fachechi is often cited by papers focused on Neural Networks and Applications (9 papers), Theoretical and Computational Physics (7 papers) and Black Holes and Theoretical Physics (6 papers). Alberto Fachechi collaborates with scholars based in Italy and United States. Alberto Fachechi's co-authors include Adriano Barra, Elena Agliari, Matteo Beccaria, Francesco Alemanno, Guido Macorini, Luciano Moretti, M. S. Centonze, Eleonora Alfinito, Enza Lonardo and Roberto Vergallo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Alberto Fachechi i

Fields of papers citing papers by Alberto Fachechi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alberto Fachechi

Since Specialization
Citations

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