Matteo Lostaglio

2.6k total citations · 2 hit papers
25 papers, 1.7k citations indexed

About

Matteo Lostaglio is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Matteo Lostaglio has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atomic and Molecular Physics, and Optics, 21 papers in Statistical and Nonlinear Physics and 19 papers in Artificial Intelligence. Recurrent topics in Matteo Lostaglio's work include Advanced Thermodynamics and Statistical Mechanics (19 papers), Quantum Information and Cryptography (19 papers) and Quantum Mechanics and Applications (13 papers). Matteo Lostaglio is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (19 papers), Quantum Information and Cryptography (19 papers) and Quantum Mechanics and Applications (13 papers). Matteo Lostaglio collaborates with scholars based in United Kingdom, Spain and Netherlands. Matteo Lostaglio's co-authors include David Jennings, Terry Rudolph, Kamil Korzekwa, Jonathan Oppenheim, Markus P. Müller, Matthew F. Pusey, Ravi Kunjwal, Álvaro M. Alhambra, Christopher Perry and Alessio Belenchia and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical Review A.

In The Last Decade

Matteo Lostaglio

25 papers receiving 1.6k citations

Hit Papers

Description of quantum coherence in thermodynamic process... 2015 2026 2018 2022 2015 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Lostaglio United Kingdom 18 1.4k 1.3k 937 67 35 25 1.7k
Tillmann Baumgratz Germany 6 2.1k 1.5× 2.0k 1.6× 453 0.5× 21 0.3× 16 0.5× 6 2.4k
Mário Ziman Slovakia 22 1.6k 1.1× 1.7k 1.3× 454 0.5× 18 0.3× 18 0.5× 71 1.9k
Manabendra Nath Bera India 15 1.6k 1.1× 1.6k 1.2× 414 0.4× 19 0.3× 13 0.4× 27 1.8k
D. J. Saunders United Kingdom 13 1.1k 0.8× 971 0.8× 309 0.3× 72 1.1× 12 0.3× 27 1.3k
Alessandro Ferraro United Kingdom 25 2.1k 1.5× 1.9k 1.5× 509 0.5× 61 0.9× 20 0.6× 85 2.4k
Oscar Dahlsten United Kingdom 15 828 0.6× 811 0.6× 578 0.6× 57 0.9× 46 1.3× 50 1.2k
Steve Campbell Ireland 26 1.8k 1.3× 1.5k 1.2× 1.0k 1.1× 69 1.0× 36 1.0× 76 2.2k
Fernando Galve Spain 23 1.2k 0.9× 957 0.7× 475 0.5× 77 1.1× 27 0.8× 55 1.5k
Kamil Korzekwa Poland 14 727 0.5× 690 0.5× 474 0.5× 30 0.4× 21 0.6× 29 885
R. M. Serra Brazil 23 2.2k 1.5× 1.9k 1.5× 1.0k 1.1× 205 3.1× 34 1.0× 53 2.5k

Countries citing papers authored by Matteo Lostaglio

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Lostaglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Lostaglio

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Lostaglio. A scholar is included among the top collaborators of Matteo Lostaglio 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 Lostaglio. Matteo Lostaglio 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.
Gherardini, Stefano, et al.. (2024). Projective measurements can probe nonclassical work extraction and time correlations. Physical Review Research. 6(2). 18 indexed citations
2.
Jennings, David, Matteo Lostaglio, Robert B. Lowrie, Sam Pallister, & Andrew Sornborger. (2024). The cost of solving linear differential equations on a quantum computer: fast-forwarding to explicit resource counts. Quantum. 8. 1553–1553. 1 indexed citations
3.
Arvidsson-Shukur, David R. M., William F. Braasch, Stephan De Bièvre, et al.. (2024). Properties and applications of the Kirkwood–Dirac distribution. New Journal of Physics. 26(12). 121201–121201. 14 indexed citations
4.
Lostaglio, Matteo, et al.. (2023). Kirkwood-Dirac quasiprobability approach to the statistics of incompatible observables. Quantum. 7. 1128–1128. 39 indexed citations
5.
Lostaglio, Matteo & Kamil Korzekwa. (2022). Continuous thermomajorization and a complete set of laws for Markovian thermal processes. Physical review. A. 106(1). 19 indexed citations
6.
Korzekwa, Kamil & Matteo Lostaglio. (2022). Optimizing Thermalization. Physical Review Letters. 129(4). 40602–40602. 17 indexed citations
7.
Lostaglio, Matteo. (2020). Certifying Quantum Signatures in Thermodynamics and Metrology via Contextuality of Quantum Linear Response. Physical Review Letters. 125(23). 230603–230603. 53 indexed citations
8.
Serafini, Alessio, et al.. (2020). Gaussian Thermal Operations and The Limits of Algorithmic Cooling. Physical Review Letters. 124(1). 10602–10602. 18 indexed citations
9.
Kunjwal, Ravi, Matteo Lostaglio, & Matthew F. Pusey. (2019). Anomalous weak values and contextuality: Robustness, tightness, and imaginary parts. Physical review. A. 100(4). 63 indexed citations
10.
Lostaglio, Matteo & Markus P. Müller. (2019). Coherence and Asymmetry Cannot be Broadcast. Physical Review Letters. 123(2). 20403–20403. 41 indexed citations
11.
Lostaglio, Matteo. (2018). Quantum Fluctuation Theorems, Contextuality, and Work Quasiprobabilities. Physical Review Letters. 120(4). 40602–40602. 77 indexed citations
12.
Lostaglio, Matteo. (2018). Thermodynamic laws for populations and quantum coherence: A self-contained introduction to the resource theory approach to thermodynamics. 5 indexed citations
13.
Alhambra, Álvaro M., Matteo Lostaglio, & Christopher Perry. (2018). Heat-Bath Algorithmic Cooling with Thermal Operations. 1 indexed citations
14.
Lostaglio, Matteo, et al.. (2017). Markovian evolution of quantum coherence under symmetric dynamics. Physical review. A. 96(3). 26 indexed citations
15.
Lostaglio, Matteo, David Jennings, & Terry Rudolph. (2017). Thermodynamic resource theories, non-commutativity and maximum entropy principles. New Journal of Physics. 19(4). 43008–43008. 66 indexed citations
16.
Korzekwa, Kamil, Matteo Lostaglio, Jonathan Oppenheim, & David Jennings. (2016). The extraction of work from quantum coherence. New Journal of Physics. 18(2). 23045–23045. 202 indexed citations
17.
Lostaglio, Matteo, David Jennings, & Terry Rudolph. (2015). Description of quantum coherence in thermodynamic processes requires constraints beyond free energy. Nature Communications. 6(1). 6383–6383. 490 indexed citations breakdown →
18.
Lostaglio, Matteo, et al.. (2015). Stochastic Independence as a Resource in Small-Scale Thermodynamics. Physical Review Letters. 115(15). 150402–150402. 49 indexed citations
19.
Lostaglio, Matteo, David Jennings, & Terry Rudolph. (2014). Thermodynamic laws beyond free energy relations. arXiv (Cornell University). 1 indexed citations
20.
Barbour, Julian, Matteo Lostaglio, & Flavio Mercati. (2013). Scale anomaly as the origin of time. General Relativity and Gravitation. 45(5). 911–938. 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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