Marco Picco
Impact in
- Condensed Matter Physics top 2%
- Theoretical and Computational Physics
- Physics of Superconductivity and Magnetism
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
-
- Theoretical and Computational Physics 58
-
- Stochastic processes and statistical mechanics 27
- Co-authors
- Jesper Lykke Jacobsen (4 shared papers)Raoul Santachiara (14 shared papers)Nicolas Sourlas (7 shared papers)Leticia F. Cugliandolo (14 shared papers)Fèlix Ritort (6 shared papers)Nikolaos G. Fytas (5 shared papers)Pierre Pujol (4 shared papers)V. Martı́n-Mayor (4 shared papers)
In The Last Decade
Marco Picco
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 57
- Condensed Matter Physics 838
- Mathematical Physics 298
- Statistical and Nonlinear Physics 309
- Statistics and Probability 116
- Atomic and Molecular Physics, and Optics 413
Countries citing papers authored by Marco Picco
This map shows the geographic impact of Marco Picco'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 Picco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Picco more than expected).
Fields of papers citing papers by Marco Picco
This network shows the impact of papers produced by Marco Picco. 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 Picco. The network helps show where Marco Picco may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Picco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 198 | |
| 2 | 2001 | 72 | |
| 3 | 2013 | 47 | |
| 4 | 2016 | 42 | |
| 5 | 1998 | 37 | |
| 6 | 2019 | 35 | |
| 7 | 2013 | 35 | |
| 8 | 1997 | 35 | |
| 9 | 2017 | 34 | |
| 10 | 2016 | 32 | |
| 11 | 2008 | 29 | |
| 12 | 2001 | 23 | |
| 13 | 1996 | 23 | |
| 14 | 1999 | 21 | |
| 15 | 2013 | 20 | |
| 16 | 1993 | 20 | |
| 17 | 2017 | 18 | |
| 18 | 2019 | 17 | |
| 19 | 2009 | 17 | |
| 20 | 2005 | 17 |
About Marco Picco
Marco Picco is a scholar working on Condensed Matter Physics, Mathematical Physics, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Statistics and Probability, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (58 papers), Stochastic processes and statistical mechanics (27 papers), Quantum many-body systems (14 papers), Complex Network Analysis Techniques (14 papers), Complex Systems and Time Series Analysis (13 papers), Material Dynamics and Properties (9 papers), Black Holes and Theoretical Physics (8 papers) and Random Matrices and Applications (8 papers). The work is most often cited by research in Condensed Matter Physics (838 citations), Mathematical Physics (298 citations), Statistical and Nonlinear Physics (309 citations), Statistics and Probability (116 citations) and Atomic and Molecular Physics, and Optics (413 citations). Marco Picco has collaborated with scholars based in France, Italy and Spain. Frequent co-authors include Jesper Lykke Jacobsen, Raoul Santachiara, Nicolas Sourlas, Leticia F. Cugliandolo, Fèlix Ritort, Nikolaos G. Fytas, Pierre Pujol, V. Martı́n-Mayor, A. Honecker and Giorgio Parisi. Their work appears in journals such as Physical Review Letters, Physical review. E, Nuclear Physics B, Europhysics Letters (EPL) and Physics Letters B.
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.