Graziano Vernizzi
- Nuclear and High Energy Physics top 10%
- Black Holes and Theoretical Physics 7
- Statistics and Probability top 5%
- Random Matrices and Applications 4
-
- Electrostatics and Colloid Interactions 7
-
- Supramolecular Self-Assembly in Materials 5
-
- RNA and protein synthesis mechanisms 5
- Lipid Membrane Structure and Behavior 4
- RNA modifications and cancer 4
-
- Nanopore and Nanochannel Transport Studies 4
- Co-authors
- Mónica Olvera de la CruzRastko SknepnekGernot AkemannJun NishimuraHenri OrlandA. ZeeSamuel I. StuppLiam C. Palmer
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (1 paper)Physical Review Letters (4 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Graziano Vernizzi
35 papers receiving 805 citations
Peers
Comparison fields: 5 of 82
- Nuclear and High Energy Physics 163
- Statistical and Nonlinear Physics 139
- Statistics and Probability 88
- Discrete Mathematics and Combinatorics 25
- Physical and Theoretical Chemistry 70
Countries citing papers authored by Graziano Vernizzi
This map shows the geographic impact of Graziano Vernizzi'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 Graziano Vernizzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graziano Vernizzi more than expected).
Fields of papers citing papers by Graziano Vernizzi
This network shows the impact of papers produced by Graziano Vernizzi. 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 Graziano Vernizzi. The network helps show where Graziano Vernizzi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Graziano Vernizzi, 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 | 2020 | 0 | |
| 2 | 2016 | 6 | |
| 3 | Topological Properties of Combinational Logic Functions for Very Large Scale Integrated Circuits | 2014 | 2 |
| 4 | 2012 | 57 | |
| 5 | 2011 | 9 | |
| 6 | 2011 | 13 | |
| 7 | 2011 | 17 | |
| 8 | 2009 | 5 | |
| 9 | 2009 | 4 | |
| 10 | 2009 | 61 | |
| 11 | 2008 | 81 | |
| 12 | 2007 | 25 | |
| 13 | 2006 | 11 | |
| 14 | Large-N Random Matrices for RNA Folding | 2005 | 7 |
| 15 | 2004 | 17 | |
| 16 | Acousto-optic coupling of modes in quasi-periodic structures | 2003 | 1 |
| 17 | 2003 | 1 | |
| 18 | Lorentzian 3d Gravity with Wormholes via Matrix Models | 2001 | 27 |
| 19 | 2000 | 34 | |
| 20 | 1999 | 9 |
About Graziano Vernizzi
Graziano Vernizzi is a scholar working on Physical and Theoretical Chemistry, Nuclear and High Energy Physics and Statistical and Nonlinear Physics, having authored 38 papers that have together received 828 indexed citations. Recurring topics across this work include Electrostatics and Colloid Interactions (7 papers), Black Holes and Theoretical Physics (7 papers), Supramolecular Self-Assembly in Materials (5 papers), RNA and protein synthesis mechanisms (5 papers), Random Matrices and Applications (4 papers), Nanopore and Nanochannel Transport Studies (4 papers), Lipid Membrane Structure and Behavior (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (163 citations), Statistical and Nonlinear Physics (139 citations) and Statistics and Probability (88 citations). Graziano Vernizzi has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Mónica Olvera de la Cruz, Rastko Sknepnek, Gernot Akemann, Jun Nishimura, Henri Orland, A. Zee, Samuel I. Stupp, Liam C. Palmer, Megan Greenfield and Kevin L. Kohlstedt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.