Massimo Vergassola
- Computational Mechanics top 0.1%
- Molecular Biology top 2%
- Biomedical Engineering top 2%
- Genetics top 2%
- Global and Planetary Change top 2%
- Co-authors
- Roberto BenziSauro SucciAntonio CelaniKrzysztof GawędzkiGregory FalkovichU. FrischBoris I. ShraimanEmmanuel Villermaux
- Topics
- Fluid Dynamics and Turbulent Flows (38 papers)Neurobiology and Insect Physiology Research (10 papers)Gene Regulatory Network Analysis (10 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Massimo Vergassola
117 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Computational Mechanics 3.6k
- Molecular Biology 2.6k
- Biomedical Engineering 1.1k
- Genetics 819
- Global and Planetary Change 760
Countries citing papers authored by Massimo Vergassola
This map shows the geographic impact of Massimo Vergassola'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 Massimo Vergassola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Vergassola more than expected).
Fields of papers citing papers by Massimo Vergassola
This network shows the impact of papers produced by Massimo Vergassola. 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 Massimo Vergassola. The network helps show where Massimo Vergassola may publish in the future.
Co-authorship network of co-authors of Massimo Vergassola
This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Vergassola. A scholar is included among the top collaborators of Massimo Vergassola based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Massimo Vergassola. Massimo Vergassola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 8 | |
| 4 | 8 | |
| 5 | 13 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | Statistical Distribution of Quantum Entanglement for a Random Bipartite State | 25 |
| 9 | 95 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | 45 | |
| 13 | Cell-Size Control and Homeostasis in Bacteriabreakdown → | 463 |
| 14 | 9 | |
| 15 | The Listeria transcriptional landscape from saprophytism to virulencebreakdown → | 700 |
| 16 | 300 | |
| 17 | 81 | |
| 18 | 171 | |
| 19 | 185 | |
| 20 | 66 |
About Massimo Vergassola
Massimo Vergassola is a scholar working on Computational Mechanics, Aging and Statistical and Nonlinear Physics, having authored 118 papers that have together received 9.4k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (38 papers), Neurobiology and Insect Physiology Research (10 papers) and Gene Regulatory Network Analysis (10 papers). The work is most often cited by research in Computational Mechanics (3.6k citations), Statistical and Nonlinear Physics (744 citations) and Condensed Matter Physics (668 citations). Massimo Vergassola has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Roberto Benzi, Sauro Succi, Antonio Celani, Krzysztof Gawędzki, Gregory Falkovich, U. Frisch, Boris I. Shraiman, Emmanuel Villermaux, Andrea Mazzino and Eduardo P. C. Rocha. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.