Federico Musciotto

21 papers and 249 indexed citations i.

About

Federico Musciotto is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Molecular Biology. According to data from OpenAlex, Federico Musciotto has authored 21 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistical and Nonlinear Physics, 6 papers in Economics and Econometrics and 4 papers in Molecular Biology. Recurrent topics in Federico Musciotto’s work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (8 papers) and Complex Systems and Time Series Analysis (5 papers). Federico Musciotto is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (8 papers) and Complex Systems and Time Series Analysis (5 papers). Federico Musciotto collaborates with scholars based in Italy, Austria and Switzerland. Federico Musciotto's co-authors include Federico Battiston, Rosario N. Mantegna, Alberto Montresor, Jyrki Piilo, Salvatore Miccichè, Albert‐László Barabási, Roberta Sinatra, Gerardo Íñiguez, Michael Szell and Dashun Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Federico Musciotto i

Fields of papers citing papers by Federico Musciotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federico Musciotto

Since Specialization
Citations

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