Matteo Polettini
- Statistical and Nonlinear Physics top 1%
- Atomic and Molecular Physics, and Optics
- Cognitive Neuroscience top 10%
- Molecular Biology
- Physical and Theoretical Chemistry top 5%
- Co-authors
- Massimiliano EspositoGatien VerleyAlexandre LazarescuBernhard AltanerGili BiskerTodd R. GingrichJordan M. HorowitzVivien Lecomte
- Topics
- Advanced Thermodynamics and Statistical Mechanics (25 papers)Statistical Mechanics and Entropy (9 papers)Neural dynamics and brain function (8 papers)
- Partner nations
- LuxembourgFranceUnited States
In The Last Decade
Matteo Polettini
26 papers receiving 640 citations
Peers
Comparison fields: 5 of 46
- Statistical and Nonlinear Physics 577
- Atomic and Molecular Physics, and Optics 152
- Cognitive Neuroscience 143
- Molecular Biology 100
- Physical and Theoretical Chemistry 93
Countries citing papers authored by Matteo Polettini
This map shows the geographic impact of Matteo Polettini'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 Matteo Polettini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Polettini more than expected).
Fields of papers citing papers by Matteo Polettini
This network shows the impact of papers produced by Matteo Polettini. 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 Matteo Polettini. The network helps show where Matteo Polettini may publish in the future.
Co-authorship network of co-authors of Matteo Polettini
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Polettini. A scholar is included among the top collaborators of Matteo Polettini 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 Matteo Polettini. Matteo Polettini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 16 | |
| 8 | 2 | |
| 9 | 57 | |
| 10 | 38 | |
| 11 | 20 | |
| 12 | 83 | |
| 13 | 93 | |
| 14 | 21 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 82 | |
| 18 | 26 | |
| 19 | 12 | |
| 20 | 13 |
About Matteo Polettini
Matteo Polettini is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Physical and Theoretical Chemistry, having authored 27 papers that have together received 646 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (25 papers), Statistical Mechanics and Entropy (9 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (577 citations), Physical and Theoretical Chemistry (93 citations) and Cognitive Neuroscience (143 citations). Matteo Polettini has collaborated with scholars based in Luxembourg, France and United States. Frequent co-authors include Massimiliano Esposito, Gatien Verley, Alexandre Lazarescu, Bernhard Altaner, Gili Bisker, Todd R. Gingrich, Jordan M. Horowitz, Vivien Lecomte, Izaak Neri and Édgar Roldán. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Europhysics Letters (EPL).
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.