Roger G. Melko

9.8k total citations · 1 hit paper
130 papers, 6.3k citations indexed

About

Roger G. Melko is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence. According to data from OpenAlex, Roger G. Melko has authored 130 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Atomic and Molecular Physics, and Optics, 64 papers in Condensed Matter Physics and 31 papers in Artificial Intelligence. Recurrent topics in Roger G. Melko's work include Quantum many-body systems (74 papers), Physics of Superconductivity and Magnetism (48 papers) and Advanced Condensed Matter Physics (31 papers). Roger G. Melko is often cited by papers focused on Quantum many-body systems (74 papers), Physics of Superconductivity and Magnetism (48 papers) and Advanced Condensed Matter Physics (31 papers). Roger G. Melko collaborates with scholars based in Canada, United States and Germany. Roger G. Melko's co-authors include Juan Carrasquilla, Giacomo Torlai, Matthew B. Hastings, Michel J. P. Gingras, Ann B. Kallin, Ribhu K. Kaul, Sergei V. Isakov, B. C. den Hertog, Iván González and Stephen Inglis and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

Roger G. Melko

126 papers receiving 6.2k citations

Hit Papers

Machine learning phases of matter 2017 2026 2020 2023 2017 250 500 750
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.

  1. Machine learning phases of matter
    2017 921 citations Juan Carrasquilla, Roger G. Melko profile →

Peers

Roger G. Melko
Gerardo Ortíz United States
Claudio Chamon United States
Anatoli Polkovnikov United States
L. B. Ioffe United States
Paul M. Goldbart United States
J. E. Gubernatis United States
Nicolas Regnault France
Zohar Nussinov United States
Ehud Altman United States
Michael Freedman United States
Gerardo Ortíz United States
Roger G. Melko
Citations per year, relative to Roger G. Melko Roger G. Melko (= 1×) peers Gerardo Ortíz

Countries citing papers authored by Roger G. Melko

Since Specialization
Citations

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

Fields of papers citing papers by Roger G. Melko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roger G. Melko. 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 Roger G. Melko. The network helps show where Roger G. Melko may publish in the future.

Co-authorship network of co-authors of Roger G. Melko

This figure shows the co-authorship network connecting the top 25 collaborators of Roger G. Melko. A scholar is included among the top collaborators of Roger G. Melko 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 Roger G. Melko. Roger G. Melko 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.
Witczak‐Krempa, William, et al.. (2025). Neural network enhanced cross entropy benchmark for monitored circuits. Machine Learning Science and Technology. 6(4). 45030–45030.
2.
Torlai, Giacomo, et al.. (2025). Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice. Communications Physics. 8(1). 4 indexed citations
3.
4.
González, Sebastián, I-Hsuan Lu, C. Gay, et al.. (2025). Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions. npj Quantum Information. 11(1). 114–114.
5.
6.
Vale, T. Dias Do, et al.. (2024). CaloQVAE: Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models. The European Physical Journal C. 84(12). 1244–1244. 5 indexed citations
7.
MacLellan, Benjamin, et al.. (2024). End-to-end variational quantum sensing. npj Quantum Information. 10(1). 118–118. 4 indexed citations
8.
Melko, Roger G. & Juan Carrasquilla. (2024). Language models for quantum simulation. Nature Computational Science. 4(1). 11–18. 10 indexed citations
9.
Lemyre, Julien Camirand, et al.. (2021). Miniaturizing neural networks for charge state autotuning in quantum dots. arXiv (Cornell University). 13 indexed citations
10.
Bova, Frank J., Avi Goldfarb, & Roger G. Melko. (2021). Commercial applications of quantum computing. EPJ Quantum Technology. 8(1). 2–2. 117 indexed citations
11.
Morningstar, Alan & Roger G. Melko. (2018). Deep Learning the Ising Model Near Criticality. arXiv (Cornell University). 18(163). 1–17. 17 indexed citations
12.
Zhang, Yi, Roger G. Melko, & Eun-Ah Kim. (2018). Machine Learning Z 2 Quantum Spin Liquids with Quasi-particle Statistics. Bulletin of the American Physical Society. 2018. 4 indexed citations
13.
Andriyash, Evgeny, et al.. (2016). Quantum Boltzmann Machine. Bulletin of the American Physical Society. 2016. 16 indexed citations
14.
Herdman, Chris M., Stephen Inglis, Pierre–Nicholas Roy, Roger G. Melko, & Adrian Del Maestro. (2014). Path-integral Monte Carlo method for Rényi entanglement entropies. Physical Review E. 90(1). 13308–13308. 34 indexed citations
15.
Hao, Zhihao, Stephen Inglis, & Roger G. Melko. (2014). Destroying a topological quantum bit by condensing Ising vortices. Nature Communications. 5(1). 5781–5781. 7 indexed citations
16.
Block, Matthew S., Roger G. Melko, & Ribhu K. Kaul. (2013). Fate ofCPN−1Fixed Points withqMonopoles. Physical Review Letters. 111(13). 137202–137202. 85 indexed citations
17.
MacDonald, Andrew, P. C. W. Holdsworth, & Roger G. Melko. (2011). Classical topological order in kagome ice. Journal of Physics Condensed Matter. 23(16). 164208–164208. 22 indexed citations
18.
Kaul, Ribhu K., Roger G. Melko, Max A. Metlitski, & Subir Sachdev. (2008). Imaging Bond Order near Nonmagnetic Impurities in Square-Lattice Antiferromagnets. Physical Review Letters. 101(18). 187206–187206. 18 indexed citations
19.
Ruff, Jacob P. C., Roger G. Melko, & Michel J. P. Gingras. (2005). Finite-Temperature Transitions in Dipolar Spin Ice in a Large Magnetic Field. Physical Review Letters. 95(9). 97202–97202. 57 indexed citations
20.
Bramwell, S. T., Mark Harris, B. C. den Hertog, et al.. (2001). Spin Correlations inHo2Ti2O7: A Dipolar Spin Ice System. Physical Review Letters. 87(4). 47205–47205. 248 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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