Matteo Magnani

68 papers and 1.6k indexed citations i.

About

Matteo Magnani is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Matteo Magnani has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistical and Nonlinear Physics, 14 papers in Computer Networks and Communications and 13 papers in Molecular Biology. Recurrent topics in Matteo Magnani’s work include Complex Network Analysis Techniques (31 papers), Opinion Dynamics and Social Influence (25 papers) and Data Management and Algorithms (9 papers). Matteo Magnani is often cited by papers focused on Complex Network Analysis Techniques (31 papers), Opinion Dynamics and Social Influence (25 papers) and Data Management and Algorithms (9 papers). Matteo Magnani collaborates with scholars based in Italy, Sweden and Denmark. Matteo Magnani's co-authors include Luca Rossi, Maurizio Botta, Danilo Montesi, Fabrizio Manetti, Mark E. Dickison, Barbora Micenková, Cécile Bothorel, Davide Vega, Mostafa Salehi and Ira Assent and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Co-authorship network of co-authors of Matteo Magnani i

Fields of papers citing papers by Matteo Magnani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matteo Magnani

Since Specialization
Citations

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