Giacomo Torlai

41 total papers · 2.1k total citations
16 papers, 1.1k citations indexed

About

Giacomo Torlai is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Giacomo Torlai has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 11 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Giacomo Torlai's work include Quantum many-body systems (10 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Information and Cryptography (3 papers). Giacomo Torlai is often cited by papers focused on Quantum many-body systems (10 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Information and Cryptography (3 papers). Giacomo Torlai collaborates with scholars based in Canada, United States and Switzerland. Giacomo Torlai's co-authors include Roger G. Melko, Juan Carrasquilla, Leandro Aolita, Hsin-Yuan Huang, Victor V. Albert, John Preskill, Richard Kueng, Evert van Nieuwenburg, Giuseppe Carleo and Ahmed Omran and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

Giacomo Torlai

16 papers receiving 1.1k citations

Hit Papers

Provably efficient machin... 2022 2026 2023 2024 2022 40 80 120
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Provably efficient machine learning for quantum many-body problems
    2022 146 citations Hsin-Yuan Huang, Richard Kueng et al. Science profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Giacomo Torlai 706 704 196 161 110 16 1.1k
Evert van Nieuwenburg 940 1.3× 403 0.6× 278 1.4× 356 2.2× 229 2.1× 37 1.2k
Károly F. Pál 614 0.9× 432 0.6× 179 0.9× 209 1.3× 67 0.6× 55 1.1k
Ye-Hua Liu 675 1.0× 273 0.4× 153 0.8× 423 2.6× 185 1.7× 18 1.0k
Troels F. Rønnow 515 0.7× 967 1.4× 68 0.3× 105 0.7× 122 1.1× 13 1.2k
Joshua M. Lapan 695 1.0× 1.1k 1.6× 184 0.9× 70 0.4× 29 0.3× 13 1.5k
Vinay Ramasesh 841 1.2× 722 1.0× 79 0.4× 107 0.7× 27 0.2× 12 1.1k
Pierre Barthelemy 487 0.7× 209 0.3× 173 0.9× 107 0.7× 104 0.9× 12 1.0k
Yichen Huang 1.1k 1.5× 703 1.0× 393 2.0× 176 1.1× 20 0.2× 58 1.4k
Jun Li 958 1.4× 808 1.1× 230 1.2× 80 0.5× 52 0.5× 70 1.3k
Ken Xuan Wei 780 1.1× 767 1.1× 142 0.7× 84 0.5× 26 0.2× 12 1.1k

Countries citing papers authored by Giacomo Torlai

Since Specialization
Citations

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

Fields of papers citing papers by Giacomo Torlai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giacomo Torlai

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

All Works

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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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2026