Lorenzo Buffoni

1.7k total citations
33 papers, 453 citations indexed

About

Lorenzo Buffoni is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Lorenzo Buffoni has authored 33 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 17 papers in Statistical and Nonlinear Physics and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Lorenzo Buffoni's work include Quantum Information and Cryptography (15 papers), Quantum Computing Algorithms and Architecture (13 papers) and Advanced Thermodynamics and Statistical Mechanics (11 papers). Lorenzo Buffoni is often cited by papers focused on Quantum Information and Cryptography (15 papers), Quantum Computing Algorithms and Architecture (13 papers) and Advanced Thermodynamics and Statistical Mechanics (11 papers). Lorenzo Buffoni collaborates with scholars based in Italy, Portugal and Belgium. Lorenzo Buffoni's co-authors include Michele Campisi, Filippo Caruso, Alessandro Cuccoli, Andrea Solfanelli, Paola Verrucchi, Stefano Gherardini, Duccio Fanelli, Evgeny Andriyash, M. H. S. Amin and Valeria Cimini and has published in prestigious journals such as Science, Physical Review Letters and Scientific Reports.

In The Last Decade

Lorenzo Buffoni

30 papers receiving 444 citations

Peers

Lorenzo Buffoni

SNP

AMPO

CSE

EEE

Lei Feng United States

Wenjun Wang China

Shi-Qing Tang China

Bo-Lun Chen China

Gan Qin China

X. P. Xu China

Jiayuan Huang China

Xiangyi Meng United States

Feiran Wang China

Lei Feng United States

Lorenzo Buffoni

226 ×0.8

146 ×0.7

SNP

702 ×3.6

AMPO

4 ×0.1

CSE

17 ×0.7

EEE

Citations per year, relative to Lorenzo Buffoni Lorenzo Buffoni (= 1×) peers Lei Feng

Countries citing papers authored by Lorenzo Buffoni

Since Specialization

Citations

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

Fields of papers citing papers by Lorenzo Buffoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Buffoni

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Buffoni. A scholar is included among the top collaborators of Lorenzo Buffoni 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 Lorenzo Buffoni. Lorenzo Buffoni 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

Tiezzi, Antonio, Lorenzo Buffoni, Ilaria Pagnini, et al.. (2025). Learning-Based Models for Predicting IVIG Resistance and Coronary Artery Lesions in Kawasaki Disease: A Review of Technical Aspects and Study Features. Pediatric Drugs. 27(4). 465–479. 1 indexed citations

Buffoni, Lorenzo & Michele Campisi. (2025). Collective preparation of large quantum registers with high fidelity. Quantum Science and Technology. 10(2). 25053–25053.

Fanelli, Duccio, et al.. (2025). Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise. Machine Learning Science and Technology. 6(3). 35054–35054.

Buffoni, Lorenzo, et al.. (2024). Complex Recurrent Spectral Network. Chaos Solitons & Fractals. 184. 114998–114998. 4 indexed citations

Gherardini, Stefano, Lorenzo Buffoni, & Nicolò Defenu. (2024). Universal Defects Statistics with Strong Long-Range Interactions. Physical Review Letters. 133(11). 113401–113401. 3 indexed citations

Buffoni, Lorenzo, et al.. (2024). Generalized Landauer bound from absolute irreversibility. Physical review. E. 109(2). 24138–24138. 1 indexed citations

Buffoni, Lorenzo, et al.. (2024). Competition of decoherence and quantum speed limits for quantum-gate fidelity in the Jaynes-Cummings model. Physical Review Research. 6(2).

Krenn, Mario, Lorenzo Buffoni, Bruno Coutinho, et al.. (2023). Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nature Machine Intelligence. 5(11). 1326–1335. 36 indexed citations

Buffoni, Lorenzo, et al.. (2023). Quantum density peak clustering. Quantum Machine Intelligence. 5(1). 1 indexed citations

10.

Buffoni, Lorenzo, Stefano Gherardini, Emmanuel Zambrini Cruzeiro, & Yasser Omar. (2022). Third Law of Thermodynamics and the Scaling of Quantum Computers. INO Open Portal. 16 indexed citations

11.

Gherardini, Stefano, et al.. (2022). Energy fluctuation relations and repeated quantum measurements. Chaos Solitons & Fractals. 156. 111890–111890. 5 indexed citations

12.

Hodis, Eran, Elena Torlai Triglia, John Kwon, et al.. (2022). Stepwise-edited, human melanoma models reveal mutations’ effect on tumor and microenvironment. Science. 376(6592). eabi8175–eabi8175. 32 indexed citations

13.

Gianani, Ilaria, Lorenzo Buffoni, Natalia Bruno, et al.. (2022). Experimental Quantum Embedding for Machine Learning. Advanced Quantum Technologies. 5(8). 14 indexed citations

14.

Buffoni, Lorenzo, et al.. (2022). Spectral pruning of fully connected layers. Scientific Reports. 12(1). 11201–11201. 10 indexed citations

15.

Buffoni, Lorenzo, et al.. (2022). Learning the noise fingerprint of quantum devices. INO Open Portal. 17 indexed citations

16.

Campisi, Michele & Lorenzo Buffoni. (2021). Improved bound on entropy production in a quantum annealer. Physical review. E. 104(2). L022102–L022102. 10 indexed citations

17.

Buffoni, Lorenzo, et al.. (2021). Training of sparse and dense deep neural networks: Fewer parameters, same performance. Physical review. E. 104(5). 54312–54312. 8 indexed citations

18.

Cimini, Valeria, Stefano Gherardini, Marco Barbieri, et al.. (2020). Experimental characterization of the energetics of quantum logic gates. npj Quantum Information. 6(1). 29 indexed citations

19.

Buffoni, Lorenzo & Michele Campisi. (2020). Thermodynamics of a quantum annealer. Quantum Science and Technology. 5(3). 35013–35013. 25 indexed citations

20.

Buffoni, Lorenzo, Andrea Solfanelli, Paola Verrucchi, Alessandro Cuccoli, & Michele Campisi. (2019). Quantum Measurement Cooling. Physical Review Letters. 122(7). 70603–70603. 114 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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