Guglielmo Mazzola

2.0k total citations
33 papers, 947 citations indexed

About

Guglielmo Mazzola is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Geophysics. According to data from OpenAlex, Guglielmo Mazzola has authored 33 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atomic and Molecular Physics, and Optics, 18 papers in Artificial Intelligence and 6 papers in Geophysics. Recurrent topics in Guglielmo Mazzola's work include Quantum Computing Algorithms and Architecture (17 papers), Quantum many-body systems (11 papers) and Quantum and electron transport phenomena (10 papers). Guglielmo Mazzola is often cited by papers focused on Quantum Computing Algorithms and Architecture (17 papers), Quantum many-body systems (11 papers) and Quantum and electron transport phenomena (10 papers). Guglielmo Mazzola collaborates with scholars based in Switzerland, Italy and United States. Guglielmo Mazzola's co-authors include Sandro Sorella, Ivano Tavernelli, Pauline J. Ollitrault, Bingqing Cheng, Chris J. Pickard, Michele Ceriotti, Matthias Troyer, Vadim Smelyanskiy, Ravit Helled and Seiji Yunoki and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Guglielmo Mazzola

31 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guglielmo Mazzola Switzerland 20 594 453 158 113 95 33 947
Jonathan L. DuBois United States 17 806 1.4× 392 0.9× 117 0.7× 110 1.0× 211 2.2× 55 1.1k
Dolev Bluvstein United States 15 1.0k 1.7× 641 1.4× 224 1.4× 60 0.5× 195 2.1× 24 1.4k
Norm M. Tubman United States 14 802 1.4× 234 0.5× 200 1.3× 46 0.4× 191 2.0× 41 1.1k
James S. Spencer United Kingdom 17 702 1.2× 82 0.2× 395 2.5× 54 0.5× 178 1.9× 26 1.0k
Ilya G. Ryabinkin Canada 19 864 1.5× 267 0.6× 201 1.3× 21 0.2× 46 0.5× 39 1.1k
Bryan K. Clark United States 20 1.1k 1.8× 583 1.3× 191 1.2× 40 0.4× 353 3.7× 55 1.5k
James McClain United States 10 1.1k 1.8× 304 0.7× 591 3.7× 19 0.2× 170 1.8× 11 1.6k
Károly F. Pál Hungary 20 621 1.0× 438 1.0× 67 0.4× 17 0.2× 209 2.2× 55 1.1k
Pablo Serra Argentina 19 661 1.1× 156 0.3× 115 0.7× 33 0.3× 154 1.6× 74 882
Xi Chu United States 18 1.3k 2.2× 462 1.0× 104 0.7× 11 0.1× 123 1.3× 32 1.4k

Countries citing papers authored by Guglielmo Mazzola

Since Specialization
Citations

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

Fields of papers citing papers by Guglielmo Mazzola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guglielmo Mazzola

This figure shows the co-authorship network connecting the top 25 collaborators of Guglielmo Mazzola. A scholar is included among the top collaborators of Guglielmo Mazzola 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 Guglielmo Mazzola. Guglielmo Mazzola 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.
Nakano, Kousuke, et al.. (2026). Denser hydrogen inferred from first-principles simulations challenges Jupiter’s interior models. Physical Review Research. 8(1).
2.
3.
Mazzola, Guglielmo, et al.. (2025). From quantum-enhanced to quantum-inspired Monte Carlo. Physical review. A. 111(4). 3 indexed citations
4.
Mazzola, Guglielmo, et al.. (2024). The Linear Mixing Approximation in Silica–Water Mixtures at Planetary Conditions. The Astrophysical Journal. 975(2). 255–255. 1 indexed citations
5.
Layden, David, Guglielmo Mazzola, Ryan V. Mishmash, et al.. (2023). Quantum-enhanced Markov chain Monte Carlo. Nature. 619(7969). 282–287. 39 indexed citations
6.
García-Pérez, Guillermo, Matteo A. C. Rossi, Francesco Tacchino, et al.. (2021). Learning to Measure: Adaptive Informationally Complete Generalized Measurements for Quantum Algorithms. PRX Quantum. 2(4). 61 indexed citations
7.
García-Pérez, Guillermo, Matteo A. C. Rossi, Francesco Tacchino, et al.. (2021). Supporting data for arXiv:2104.00569. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Mazzola, Guglielmo, et al.. (2021). Gauge-invariant quantum circuits for U(1) and Yang-Mills lattice gauge theories. Physical Review Research. 3(4). 24 indexed citations
9.
Cheng, Bingqing, Guglielmo Mazzola, Chris J. Pickard, & Michele Ceriotti. (2020). Evidence for supercritical behaviour of high-pressure liquid hydrogen. Nature. 585(7824). 217–220. 108 indexed citations
10.
Nakano, Kousuke, Claudio Attaccalite, Luca Capriotti, et al.. (2020). TurboRVB: A many-body toolkit for ab initio electronic simulations by quantum Monte Carlo. The Journal of Chemical Physics. 152(20). 204121–204121. 43 indexed citations
11.
Ollitrault, Pauline J., Guglielmo Mazzola, & Ivano Tavernelli. (2020). Nonadiabatic Molecular Quantum Dynamics with Quantum Computers. Physical Review Letters. 125(26). 260511–260511. 57 indexed citations
12.
Mazzola, Guglielmo, Pauline J. Ollitrault, Panagiotis Kl. Barkoutsos, & Ivano Tavernelli. (2019). Nonunitary Operations for Ground-State Calculations in Near-Term Quantum Computers. Physical Review Letters. 123(13). 130501–130501. 35 indexed citations
13.
Carleo, Giuseppe, Kenny Choo, James E. T. Smith, et al.. (2019). NetKet: A machine learning toolkit for many-body quantum systems. Repository for Publications and Research Data (ETH Zurich). 68 indexed citations
14.
Mazzola, Guglielmo, et al.. (2019). Uncertain fate of fair sampling in quantum annealing. Physical review. A. 100(3). 23 indexed citations
15.
Mazzola, Guglielmo & Sandro Sorella. (2017). Acceleratingab initioMolecular Dynamics and Probing the Weak Dispersive Forces in Dense Liquid Hydrogen. Physical Review Letters. 118(1). 15703–15703. 18 indexed citations
16.
Isakov, Sergei V., Guglielmo Mazzola, Vadim Smelyanskiy, et al.. (2016). Understanding Quantum Tunneling through Quantum Monte Carlo Simulations. Physical Review Letters. 117(18). 180402–180402. 61 indexed citations
17.
Sorella, Sandro, et al.. (2015). Geminal embedding scheme for optimal atomic basis set construction in correlated calculations. The Journal of Chemical Physics. 143(24). 244112–244112. 16 indexed citations
18.
Mazzola, Guglielmo, Seiji Yunoki, & Sandro Sorella. (2014). Unexpectedly high pressure for molecular dissociation in liquid hydrogen by electronic simulation. Nature Communications. 5(1). 3487–3487. 55 indexed citations
19.
Mazzola, Guglielmo, S. a Beccara, Pietro Faccioli, & Henri Orland. (2011). Fluctuations in the ensemble of reaction pathways. The Journal of Chemical Physics. 134(16). 164109–164109. 12 indexed citations
20.
Pasta, Piero, Guglielmo Mazzola, Giacomo Carrea, & Sergio Riva. (1989). Subtilisin-catalyzed transesterification in supercritical carbon dioxide. Biotechnology Letters. 11(9). 643–648. 38 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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