Marco Gherardi
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- Complex Network Analysis Techniques 6
- Statistical Mechanics and Entropy 6
- Model Reduction and Neural Networks 3
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- Neural Networks and Applications 4
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- Theoretical and Computational Physics 6
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- Stochastic processes and statistical mechanics 4
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- Ultrasound in Clinical Applications 3
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- Pleural and Pulmonary Diseases 3
- Co-authors
- Marco Cosentino LagomarsinoM. TammKirill PolovnikovValentina BugelliStefano VaninMarco Di PaoloDaniele IudiconeMaurizio Ribera d’Alcalà
- Journals
- Physical review. E (11 papers)Physical Review Letters (3 papers)Scientific Reports (2 papers)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Marco Gherardi
37 papers receiving 365 citations
Peers
Comparison fields: 5 of 91
- Statistical and Nonlinear Physics 68
- Insect Science 38
- Oceanography 29
- Artificial Intelligence 70
- Condensed Matter Physics 25
Countries citing papers authored by Marco Gherardi
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).
Fields of papers citing papers by Marco Gherardi
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.
Co-authorship network
The 25 scholars most cited alongside Marco Gherardi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 11 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 5 | |
| 12 | 2017 | 25 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 6 | |
| 15 | 2016 | 9 | |
| 16 | 2016 | 2 | |
| 17 | 2015 | 24 | |
| 18 | 2014 | 2 | |
| 19 | 2013 | 3 | |
| 20 | 2011 | 37 |
About Marco Gherardi
Marco Gherardi is a scholar working on Statistical and Nonlinear Physics, Critical Care and Intensive Care Medicine and Condensed Matter Physics, having authored 40 papers that have together received 366 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (6 papers), Complex Network Analysis Techniques (6 papers), Statistical Mechanics and Entropy (6 papers), Neural Networks and Applications (4 papers), Stochastic processes and statistical mechanics (4 papers), Ultrasound in Clinical Applications (3 papers), Pleural and Pulmonary Diseases (3 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (68 citations), Insect Science (38 citations) and Oceanography (29 citations). Marco Gherardi has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Marco Cosentino Lagomarsino, M. Tamm, Kirill Polovnikov, Valentina Bugelli, Stefano Vanin, Marco Di Paolo, Daniele Iudicone, Maurizio Ribera d’Alcalà, Alberto Amato and Maria Immacolata Ferrante. Their work appears in journals such as Physical review. E, Physical Review Letters, Scientific Reports, Journal of Clinical Medicine and Journal of Statistical Physics.
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.