M. Portesi
Impact in
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- Statistical Mechanics and Entropy
- Advanced Thermodynamics and Statistical Mechanics
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- Quantum Mechanics and Applications
- Quantum Mechanics and Non-Hermitian Physics
- Cold Atom Physics and Bose-Einstein Condensates
Papers in
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- Statistical Mechanics and Entropy 22
- Advanced Thermodynamics and Statistical Mechanics 12
- Quantum chaos and dynamical systems 4
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- Quantum Mechanics and Applications 16
- Quantum, superfluid, helium dynamics 5
- Co-authors
- A. Plastino (6 shared papers)Steeve Zozor (8 shared papers)Christophe Vignat (1 shared paper)F. Pennini (4 shared papers)R. Guardiola (6 shared papers)R. Rossignoli (4 shared papers)N. Canosa (4 shared papers)A. Plastino (4 shared papers)
In The Last Decade
M. Portesi
39 papers receiving 398 citations
Peers
Comparison fields: 5 of 55
- Statistical and Nonlinear Physics 260
- Atomic and Molecular Physics, and Optics 246
- Modeling and Simulation 21
- Artificial Intelligence 145
- Applied Mathematics 26
Countries citing papers authored by M. Portesi
This map shows the geographic impact of M. Portesi'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 M. Portesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Portesi more than expected).
Fields of papers citing papers by M. Portesi
This network shows the impact of papers produced by M. Portesi. 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 M. Portesi. The network helps show where M. Portesi may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Portesi, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 54 | |
| 2 | 2012 | 35 | |
| 3 | 1996 | 33 | |
| 4 | 2011 | 26 | |
| 5 | 1995 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2013 | 20 | |
| 8 | 2006 | 19 | |
| 9 | 1992 | 17 | |
| 10 | 1999 | 14 | |
| 11 | 2006 | 13 | |
| 12 | 2015 | 11 | |
| 13 | 2011 | 11 | |
| 14 | 2014 | 10 | |
| 15 | 2003 | 10 | |
| 16 | 2006 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2006 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2019 | 7 |
About M. Portesi
M. Portesi is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Economics and Econometrics and Nuclear and High Energy Physics, having authored 40 papers that have together received 408 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (22 papers), Quantum Mechanics and Applications (16 papers), Advanced Thermodynamics and Statistical Mechanics (12 papers), Quantum Information and Cryptography (9 papers), Complex Systems and Time Series Analysis (9 papers), Quantum, superfluid, helium dynamics (5 papers), Quantum chaos and dynamical systems (4 papers) and Nuclear physics research studies (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (260 citations), Atomic and Molecular Physics, and Optics (246 citations), Modeling and Simulation (21 citations), Artificial Intelligence (145 citations) and Applied Mathematics (26 citations). M. Portesi has collaborated with scholars based in Argentina, France and Spain. Frequent co-authors include A. Plastino, Steeve Zozor, Christophe Vignat, F. Pennini, R. Guardiola, R. Rossignoli, N. Canosa, A. Plastino, J. Navarro and Pedro W. Lamberti. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physical Review A, Physical review. A, Journal of Physics G Nuclear and Particle Physics and Physical review. B, Condensed matter.
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.