Dario Rosa

1.5k total citations · 1 hit paper
30 papers, 882 citations indexed

About

Dario Rosa is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Dario Rosa has authored 30 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 21 papers in Atomic and Molecular Physics, and Optics and 10 papers in Artificial Intelligence. Recurrent topics in Dario Rosa's work include Quantum many-body systems (13 papers), Quantum Computing Algorithms and Architecture (8 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). Dario Rosa is often cited by papers focused on Quantum many-body systems (13 papers), Quantum Computing Algorithms and Architecture (8 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). Dario Rosa collaborates with scholars based in South Korea, Italy and United States. Dario Rosa's co-authors include Dominik Šafránek, Matteo Carrega, Gian Marcello Andolina, Marco Polini, Davide Rossini, J. J. M. Verbaarschot, Alessandro Tomasiello, Marco Fazzi, Fabio Apruzzi and Antonio M. Garcı́a-Garcı́a and has published in prestigious journals such as Physical Review Letters, Journal of High Energy Physics and New Journal of Physics.

In The Last Decade

Dario Rosa

29 papers receiving 869 citations

Hit Papers

align trajectories

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.

Quantum Advantage in the Charging Process of Sachdev-Ye-Kitaev Batteries

2020 172 citations Davide Rossini, Gian Marcello Andolina et al. Physical Review Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dario Rosa South Korea	14	532	460	402	227	161	30	882
Walter Vinci United States	17	285 0.5×	131 0.3×	290 0.7×	417 1.8×	178 1.1×	32	825
Shunji Matsuura Japan	15	391 0.7×	112 0.2×	155 0.4×	255 1.1×	179 1.1×	23	682
David Reeb Germany	12	307 0.6×	237 0.5×	250 0.6×	168 0.7×	140 0.9×	23	548
Spyridon Michalakis United States	9	811 1.5×	255 0.6×	323 0.8×	58 0.3×	43 0.3×	14	905
I. A. Pedrosa Brazil	15	753 1.4×	341 0.7×	327 0.8×	83 0.4×	124 0.8×	49	838
Mitsuhiro Nishida Japan	13	147 0.3×	136 0.3×	136 0.3×	129 0.6×	89 0.6×	32	398
Gregory Bentsen United States	10	752 1.4×	222 0.5×	433 1.1×	61 0.3×	37 0.2×	17	853
René Meyer Germany	16	369 0.7×	196 0.4×	48 0.1×	493 2.2×	368 2.3×	41	770
Guo‐Hua Sun Mexico	19	825 1.6×	465 1.0×	349 0.9×	49 0.2×	43 0.3×	44	917
Ruihua Fan United States	9	776 1.5×	323 0.7×	306 0.8×	108 0.5×	35 0.2×	11	848

Countries citing papers authored by Dario Rosa

Since Specialization

Citations

This map shows the geographic impact of Dario Rosa'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 Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dario Rosa more than expected).

Fields of papers citing papers by Dario Rosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dario Rosa. 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 Rosa. The network helps show where Dario Rosa may publish in the future.

Co-authorship network of co-authors of Dario Rosa

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

All Works

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20 of 20 papers shown

1.

Murugan, Jeff, et al.. (2025). Sachdev-Ye-Kitaev charging advantage as a random walk on graphs. Physical review. B.. 111(7). 3 indexed citations

2.

Andreanov, Alexei, et al.. (2025). From Dyson models to many-body quantum chaos. Physical review. B.. 111(3). 1 indexed citations

3.

Rosa, Dario, et al.. (2024). Minimal time required to charge a quantum system. Physical review. A. 109(2). 7 indexed citations

4.

Rosa, Dario, et al.. (2024). The Rosenzweig–Porter model revisited for the three Wigner–Dyson symmetry classes. New Journal of Physics. 26(8). 83018–83018. 4 indexed citations

5.

Kim, Joonho, Yaron Oz, & Dario Rosa. (2023). Quantum chaos and circuit parameter optimization. Journal of Statistical Mechanics Theory and Experiment. 2023(2). 23104–23104. 2 indexed citations

6.

Bondani, Maria, et al.. (2023). Generation of Pseudo-Random Quantum States on Actual Quantum Processors. Entropy. 25(4). 607–607. 2 indexed citations

7.

Šafránek, Dominik & Dario Rosa. (2023). Measuring energy by measuring any other observable. Physical review. A. 108(2). 5 indexed citations

8.

Šafránek, Dominik, Dario Rosa, & Felix C. Binder. (2023). Work Extraction from Unknown Quantum Sources. Physical Review Letters. 130(21). 210401–210401. 37 indexed citations

9.

Dietz, Barbara, et al.. (2023). Entanglement Dynamics and Classical Complexity. Entropy. 25(1). 97–97. 1 indexed citations

10.

Dietz, Barbara, et al.. (2023). Machine learning wave functions to identify fractal phases. Physical review. B.. 108(18). 4 indexed citations

11.

Rosa, Dario, et al.. (2023). Artificial intelligence discovery of a charging protocol in a micromaser quantum battery. Physical review. A. 108(4). 27 indexed citations

12.

Šafránek, Dominik, et al.. (2022). Quantum Charging Advantage Cannot Be Extensive without Global Operations. Physical Review Letters. 128(14). 140501–140501. 120 indexed citations

13.

Garcı́a-Garcı́a, Antonio M., et al.. (2022). Replica Symmetry Breaking in Random Non-Hermitian Systems. arXiv (Cornell University). 18 indexed citations

14.

Garcı́a-Garcı́a, Antonio M., et al.. (2022). Dominance of Replica Off-Diagonal Configurations and Phase Transitions in a PT Symmetric Sachdev-Ye-Kitaev Model. Physical Review Letters. 128(8). 81601–81601. 26 indexed citations

15.

Rosa, Dario, et al.. (2022). Replica symmetry breaking for the integrable two-site Sachdev–Ye–Kitaev model. Journal of Mathematical Physics. 63(10). 5 indexed citations

16.

Kim, Joonho, et al.. (2021). Universal effectiveness of high-depth circuits in variational eigenproblems. Physical Review Research. 3(2). 35 indexed citations

17.

Rossini, Davide, Gian Marcello Andolina, Dario Rosa, Matteo Carrega, & Marco Polini. (2020). Quantum Advantage in the Charging Process of Sachdev-Ye-Kitaev Batteries. Physical Review Letters. 125(23). 236402–236402. 172 indexed citations breakdown →

18.

Rosa, Dario, Davide Rossini, Gian Marcello Andolina, Marco Polini, & Matteo Carrega. (2019). Ultra stable charging of fastest scrambling quantum batteries. arXiv (Cornell University). 5 indexed citations

19.

Rosa, Dario. (2014). Generalized geometry of two-dimensional vacua. Journal of High Energy Physics. 2014(7). 8 indexed citations

20.

Apruzzi, Fabio, Marco Fazzi, Achilleas Passias, Dario Rosa, & Alessandro Tomasiello. (2014). AdS6 solutions of type II supergravity. Journal of High Energy Physics. 2014(11). 56 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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