Dario Poletti

3.6k total citations · 1 hit paper
93 papers, 2.4k citations indexed

About

Dario Poletti is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Dario Poletti has authored 93 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Atomic and Molecular Physics, and Optics, 33 papers in Artificial Intelligence and 32 papers in Statistical and Nonlinear Physics. Recurrent topics in Dario Poletti's work include Quantum many-body systems (53 papers), Cold Atom Physics and Bose-Einstein Condensates (34 papers) and Quantum Information and Cryptography (26 papers). Dario Poletti is often cited by papers focused on Quantum many-body systems (53 papers), Cold Atom Physics and Bose-Einstein Condensates (34 papers) and Quantum Information and Cryptography (26 papers). Dario Poletti collaborates with scholars based in Singapore, China and Germany. Dario Poletti's co-authors include Corinna Kollath, Chu Guo, Peter Barmettler, Marc Cheneau, Takeshi Fukuhara, Peter Schauß, Immanuel Bloch, Christian Groß, Stefan Kuhr and Manuel Endres and has published in prestigious journals such as Nature, Physical Review Letters and Physical Review B.

In The Last Decade

Dario Poletti

90 papers receiving 2.4k citations

Hit Papers

Light-cone-like spreading of correlations in a quantum ma... 2012 2026 2016 2021 2012 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Light-cone-like spreading of correlations in a quantum many-body system
    2012 525 citations Dario Poletti, Corinna Kollath et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dario Poletti Singapore 28 2.0k 857 736 418 196 93 2.4k
Gabriele De Chiara United Kingdom 34 3.4k 1.7× 1.5k 1.8× 2.0k 2.8× 486 1.2× 145 0.7× 106 3.9k
Jochen Gemmer Germany 20 1.5k 0.7× 1.0k 1.2× 521 0.7× 265 0.6× 126 0.6× 65 1.7k
Davide Rossini Italy 38 3.5k 1.7× 1.1k 1.3× 1.5k 2.0× 729 1.7× 57 0.3× 114 3.7k
André Eckardt Germany 29 4.6k 2.2× 634 0.7× 799 1.1× 878 2.1× 228 1.2× 78 4.8k
Yuto Ashida Japan 22 2.6k 1.3× 1.2k 1.4× 404 0.5× 166 0.4× 105 0.5× 51 2.7k
Marin Bukov United States 20 2.0k 1.0× 531 0.6× 550 0.7× 501 1.2× 159 0.8× 46 2.3k
Paolo Solinas Italy 27 1.5k 0.8× 676 0.8× 806 1.1× 458 1.1× 202 1.0× 65 1.9k
Rajibul Islam United States 17 3.2k 1.5× 602 0.7× 2.0k 2.7× 536 1.3× 67 0.3× 36 3.5k
Manas Kulkarni India 20 1.0k 0.5× 523 0.6× 365 0.5× 194 0.5× 124 0.6× 85 1.3k
Sylvain Ravets France 20 2.2k 1.1× 336 0.4× 937 1.3× 212 0.5× 111 0.6× 40 2.5k

Countries citing papers authored by Dario Poletti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Dario Poletti

This figure shows the co-authorship network connecting the top 25 collaborators of Dario Poletti. A scholar is included among the top collaborators of Dario Poletti 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 Dario Poletti. Dario Poletti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Mazza, Leonardo, et al.. (2025). Hydrodynamics and the Eigenstate Thermalization Hypothesis. Physical Review X. 15(1). 6 indexed citations
3.
Poletti, Dario, et al.. (2024). Supervised training of neural-network quantum states for the next-nearest neighbor Ising model. Computer Physics Communications. 300. 109169–109169. 2 indexed citations
4.
Munro, William J., et al.. (2024). Tensor-networks-based learning of probabilistic cellular automata dynamics. Physical Review Research. 6(4).
5.
Bharti, Kishor, et al.. (2023). NISQ algorithm for the matrix elements of a generic observable. SciPost Physics. 15(4). 1 indexed citations
6.
Poletti, Dario, et al.. (2023). Efficacy of noisy dynamical decoupling. Physical review. A. 107(3). 4 indexed citations
7.
Poletti, Dario, et al.. (2023). Diagrammatic method for many-body non-Markovian dynamics: Memory effects and entanglement transitions. Physical review. B.. 108(7). 14 indexed citations
8.
Poletti, Dario, et al.. (2021). Analysis of a density matrix renormalization group approach for transport in open quantum systems. Computer Physics Communications. 267. 108060–108060. 13 indexed citations
9.
Guo, Chu & Dario Poletti. (2021). Scheme for automatic differentiation of complex loss functions with applications in quantum physics. Physical review. E. 103(1). 13309–13309. 18 indexed citations
10.
Balachandran, Vinitha, et al.. (2021). Giant rectification in segmented, strongly interacting spin chains despite the presence of perturbations. Physical review. E. 103(5). 52143–52143. 7 indexed citations
11.
Yum, Dahyun, et al.. (2020). Single-atom energy-conversion device with a quantum load. npj Quantum Information. 6(1). 60 indexed citations
12.
Hébert, F., et al.. (2020). Transfer learning for scalability of neural-network quantum states. Physical review. E. 101(5). 53301–53301. 32 indexed citations
13.
Carlo, Gabriel G., et al.. (2018). Period doubling in period-one steady states. Physical review. E. 97(2). 20202–20202. 34 indexed citations
14.
Bernier, Jean-Sébastien, et al.. (2018). Light-Cone and Diffusive Propagation of Correlations in a Many-Body Dissipative System. Physical Review Letters. 120(2). 20401–20401. 27 indexed citations
15.
Bissbort, Ulf, et al.. (2017). Converting heat into directed transport on a tilted lattice. Physical review. E. 95(3). 30102–30102. 4 indexed citations
16.
Hänggi, Peter, et al.. (2016). Occurrence of discontinuities in the performance of finite-time quantum Otto cycles. Physical review. E. 94(1). 12137–12137. 33 indexed citations
17.
Poletti, Dario, et al.. (2015). Quantum statistics and the performance of engine cycles. Physical Review E. 92(1). 12110–12110. 35 indexed citations
18.
Sun, Gaoyong, et al.. (2014). Density-Dependent Synthetic Gauge Fields Using Periodically Modulated Interactions. Physical Review Letters. 113(21). 215303–215303. 76 indexed citations
19.
Poletti, Dario, Giuliano Benenti, Giulio Casati, Peter Hänggi, & Baowen Li. (2009). Steering Bose-Einstein Condensates despite Time Symmetry. Physical Review Letters. 102(13). 130604–130604. 21 indexed citations
20.
Poletti, Dario, Libin Fu, Jie Liu, & Baowen Li. (2006). Quantum resonance and antiresonance for a periodically kicked Bose-Einstein condensate in a one-dimensional box. Physical Review E. 73(5). 56203–56203. 6 indexed citations

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.

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