Francesco Buscemi

2.9k total citations · 1 hit paper
68 papers, 1.8k citations indexed

About

Francesco Buscemi is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Francesco Buscemi has authored 68 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Atomic and Molecular Physics, and Optics, 53 papers in Artificial Intelligence and 23 papers in Statistical and Nonlinear Physics. Recurrent topics in Francesco Buscemi's work include Quantum Mechanics and Applications (53 papers), Quantum Information and Cryptography (50 papers) and Quantum Computing Algorithms and Architecture (34 papers). Francesco Buscemi is often cited by papers focused on Quantum Mechanics and Applications (53 papers), Quantum Information and Cryptography (50 papers) and Quantum Computing Algorithms and Architecture (34 papers). Francesco Buscemi collaborates with scholars based in Japan, Italy and United Kingdom. Francesco Buscemi's co-authors include Nilanjana Datta, Gilad Gour, David Jennings, Iman Marvian, Runyao Duan, Giacomo Mauro D’Ariano, Mark M. Wilde, Masanao Ozawa, Chiara Macchiavello and Valerio Scarani and has published in prestigious journals such as Physical Review Letters, Nature Communications and IEEE Transactions on Information Theory.

In The Last Decade

Francesco Buscemi

63 papers receiving 1.8k 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 majorization and a complete set of entropic conditions for quantum thermodynamics

2018 382 citations Gilad Gour, David Jennings et al. Nature Communications profile →

Peers

Francesco Buscemi

AMPO

AI

SNP

MB

EEE

Iman Marvian United States

Maximilian Schlosshauer United States

Gregg Jaeger United States

Gilad Gour Canada

A. E. Allahverdyan Armenia

Marcin Pawłowski Poland

Runyao Duan China

Mário Motta United States

J. J. Mazo Spain

A. Messina Italy

Iman Marvian United States

Francesco Buscemi

1.2k ×0.9

AMPO

1.2k ×0.9

AI

399 ×0.9

SNP

97 ×1.0

MB

54 ×0.6

EEE

Citations per year, relative to Francesco Buscemi Francesco Buscemi (= 1×) peers Iman Marvian

Countries citing papers authored by Francesco Buscemi

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Buscemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Buscemi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Mohammady, Majid, et al.. (2025). Universal validity of the second law of information thermodynamics. npj Quantum Information. 11(1). 4 indexed citations

2.

Buscemi, Francesco, et al.. (2025). Quantum Bayes’ Rule and Petz Transpose Map from the Minimum Change Principle. Physical Review Letters. 135(9). 90203–90203. 1 indexed citations

3.

Buscemi, Francesco, et al.. (2024). A complete and operational resource theory of measurement sharpness. Quantum. 8. 1235–1235. 5 indexed citations

4.

Šafránek, Dominik, et al.. (2024). Observational entropy with general quantum priors. Quantum. 8. 1524–1524. 3 indexed citations

5.

Buscemi, Francesco, et al.. (2023). Unifying different notions of quantum incompatibility into a strict hierarchy of resource theories of communication. Quantum. 7. 1035–1035. 14 indexed citations

6.

Buscemi, Francesco, Joseph Schindler, & Dominik Šafránek. (2023). Observational entropy, coarse-grained states, and the Petz recovery map: information-theoretic properties and bounds. New Journal of Physics. 25(5). 53002–53002. 14 indexed citations

7.

Dall’Arno, Michele, Francesco Buscemi, & Takeshi Koshiba. (2023). Computing the quantumguesswork: a quadratic assignment problem. Quantum Information and Computation. 23(9&10). 721–732. 1 indexed citations

8.

Skrzypczyk, Paul, et al.. (2023). Maxwell’s Demon Walks into Wall Street: Stochastic Thermodynamics Meets Expected Utility Theory. Physical Review Letters. 131(19). 197103–197103. 9 indexed citations

9.

Buscemi, Francesco, et al.. (2022). Von Neumann's information engine without the spectral theorem. Physical Review Research. 4(3). 5 indexed citations

10.

Buscemi, Francesco, et al.. (2021). Fluctuation theorems with retrodiction rather than reverse processes. National University of Singapore. 27 indexed citations

11.

Gour, Gilad, David Jennings, Francesco Buscemi, Runyao Duan, & Iman Marvian. (2018). Quantum majorization and a complete set of entropic conditions for quantum thermodynamics. Nature Communications. 9(1). 5352–5352. 382 indexed citations breakdown →

12.

Dall’Arno, Michele, Francesco Buscemi, & Vlatko Vedral. (2018). Device-Independent Inference of Physical Devices: Theory and Implementation. arXiv (Cornell University). 1 indexed citations

13.

Dall’Arno, Michele, et al.. (2017). No-Hypersignaling Principle. Physical Review Letters. 119(2). 20401–20401. 24 indexed citations

14.

Buscemi, Francesco. (2014). Complete Positivity, Markovianity, and the Quantum Data-Processing Inequality, in the Presence of Initial System-Environment Correlations. Physical Review Letters. 113(14). 140502–140502. 60 indexed citations

15.

Buscemi, Francesco. (2010). Comparison of quantum statistical models: a "Quantum Blackwell Theorem". arXiv (Cornell University). 1 indexed citations

16.

Buscemi, Francesco & Nilanjana Datta. (2009). One-shot quantum capacities of quantum channels. arXiv (Cornell University). 1 indexed citations

17.

Buscemi, Francesco & Nilanjana Datta. (2009). How many singlets are needed to create a state using LOCC. arXiv (Cornell University). 1 indexed citations

18.

Buscemi, Francesco, Masahito Hayashi, & Michał Horodecki. (2007). Information gain and approximate reversibility of quantum measurements: an entropic approach. arXiv (Cornell University). 1 indexed citations

19.

Macchiavello, Chiara, et al.. (2005). Economical phase-covariant cloning of qudits (7 pages). Physical Review A. 71(4). 42327. 4 indexed citations

20.

Buscemi, Francesco, Giacomo Mauro D’Ariano, & Paolo Perinotti. (2004). There Exist Nonorthogonal Quantum Measurements that are Perfectly Repeatable. Physical Review Letters. 92(7). 70403–70403. 8 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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