Mario di Bernardo

280 papers and 9.9k indexed citations i.

About

Mario di Bernardo is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Mario di Bernardo has authored 280 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Computer Networks and Communications, 79 papers in Control and Systems Engineering and 78 papers in Statistical and Nonlinear Physics. Recurrent topics in Mario di Bernardo’s work include Nonlinear Dynamics and Pattern Formation (99 papers), Gene Regulatory Network Analysis (63 papers) and Neural Networks Stability and Synchronization (56 papers). Mario di Bernardo is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (99 papers), Gene Regulatory Network Analysis (63 papers) and Neural Networks Stability and Synchronization (56 papers). Mario di Bernardo collaborates with scholars based in Italy, United Kingdom and United States. Mario di Bernardo's co-authors include Pietro De Lellis, Alan R. Champneys, Stefania Santini, Giovanni Russo, F. Garofalo, Francesco Vasca, Chris Budd, Maurizio Porfiri, Arne Nordmark and S. J. Hogan and has published in prestigious journals such as Cell, Physical Review Letters and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Mario di Bernardo i

Fields of papers citing papers by Mario di Bernardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario di Bernardo. 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 Mario di Bernardo. The network helps show where Mario di Bernardo may publish in the future.

Countries citing papers authored by Mario di Bernardo

Since Specialization
Citations

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