Dario Poletti
- Statistical and Nonlinear Physics top 0.5%
- Advanced Thermodynamics and Statistical Mechanics 20
-
- Quantum many-body systems 53
- Cold Atom Physics and Bose-Einstein Condensates 34
- Quantum and electron transport phenomena 24
- Quantum, superfluid, helium dynamics 13
- Computational Mathematics top 5%
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism 11
- Artificial Intelligence top 2%
- Quantum Information and Cryptography 26
- Quantum Computing Algorithms and Architecture 15
- Co-authors
- Corinna KollathChu GuoPeter BarmettlerMarc CheneauTakeshi FukuharaPeter SchaußImmanuel BlochChristian Groß
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsComputational Mathematics
In The Last Decade
Dario Poletti
90 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Statistical and Nonlinear Physics 857
- Atomic and Molecular Physics, and Optics 2.0k
- Computational Mathematics 34
- Condensed Matter Physics 418
- Artificial Intelligence 736
Countries citing papers authored by Dario Poletti
This map shows the geographic impact of Dario Poletti'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 Dario Poletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dario Poletti more than expected).
Fields of papers citing papers by Dario Poletti
This network shows the impact of papers produced by Dario Poletti. 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 Dario Poletti. The network helps show where Dario Poletti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dario Poletti, 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 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 60 | |
| 12 | 2020 | 32 | |
| 13 | 2018 | 34 | |
| 14 | 2018 | 27 | |
| 15 | 2017 | 4 | |
| 16 | 2016 | 33 | |
| 17 | 2015 | 35 | |
| 18 | 2014 | 76 | |
| 19 | 2009 | 21 | |
| 20 | 2006 | 6 |
About Dario Poletti
Dario Poletti is a scholar working on Computational Mathematics, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Condensed Matter Physics and Artificial Intelligence, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Quantum many-body systems (53 papers), Cold Atom Physics and Bose-Einstein Condensates (34 papers), Quantum Information and Cryptography (26 papers), Quantum and electron transport phenomena (24 papers), Advanced Thermodynamics and Statistical Mechanics (20 papers), Quantum Computing Algorithms and Architecture (15 papers), Quantum, superfluid, helium dynamics (13 papers) and Physics of Superconductivity and Magnetism (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (857 citations), Atomic and Molecular Physics, and Optics (2.0k citations), Computational Mathematics (34 citations), Condensed Matter Physics (418 citations) and Artificial Intelligence (736 citations). Dario Poletti has collaborated with scholars based in Singapore, China and Germany. Frequent co-authors include Corinna Kollath, Chu Guo, Peter Barmettler, Marc Cheneau, Takeshi Fukuhara, Peter Schauß, Immanuel Bloch, Christian Groß, Stefan Kuhr and Manuel Endres. Their work appears in journals such as Physical review. B., Physical review. A, Physical Review Letters, Physical review. E and Physical Review A.
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.