Marco Gherardi

44 papers and 436 indexed citations i.

About

Marco Gherardi is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Marco Gherardi has authored 44 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 11 papers in Artificial Intelligence and 10 papers in Molecular Biology. Recurrent topics in Marco Gherardi’s work include Theoretical and Computational Physics (8 papers), Statistical Mechanics and Entropy (7 papers) and Complex Network Analysis Techniques (6 papers). Marco Gherardi is often cited by papers focused on Theoretical and Computational Physics (8 papers), Statistical Mechanics and Entropy (7 papers) and Complex Network Analysis Techniques (6 papers). Marco Gherardi collaborates with scholars based in Italy, France and United Kingdom. Marco Gherardi's co-authors include Marco Cosentino Lagomarsino, M. Tamm, Kirill Polovnikov, Valentina Bugelli, Marco Di Paolo, Stefano Vanin, Sergio Caracciolo, Matteo Osella, Andrea Pelissetto and Mauro Papinutto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Marco Gherardi i

Fields of papers citing papers by Marco Gherardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Gherardi

Since Specialization
Citations

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