Juan Carrasquilla

4.5k total citations · 1 hit paper
60 papers, 2.4k citations indexed

About

Juan Carrasquilla is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence. According to data from OpenAlex, Juan Carrasquilla has authored 60 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Atomic and Molecular Physics, and Optics, 17 papers in Condensed Matter Physics and 15 papers in Artificial Intelligence. Recurrent topics in Juan Carrasquilla's work include Quantum many-body systems (34 papers), Quantum Computing Algorithms and Architecture (14 papers) and Physics of Superconductivity and Magnetism (14 papers). Juan Carrasquilla is often cited by papers focused on Quantum many-body systems (34 papers), Quantum Computing Algorithms and Architecture (14 papers) and Physics of Superconductivity and Magnetism (14 papers). Juan Carrasquilla collaborates with scholars based in Canada, United States and Italy. Juan Carrasquilla's co-authors include Roger G. Melko, Marcos Rigol, Giacomo Torlai, Simon Trebst, Leandro Aolita, Giuseppe Carleo, Federico Becca, J. I. Cirac, Román Castañeda and Salvatore R. Manmana and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical Review B.

In The Last Decade

Juan Carrasquilla

60 papers receiving 2.3k citations

Hit Papers

align trajectories

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.

Machine learning phases of matter

2017 921 citations Juan Carrasquilla, Roger G. Melko Nature Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Juan Carrasquilla Canada	21	1.5k	810	666	417	403	60	2.4k
Hengyun Zhou United States	17	2.2k 1.5×	608 0.8×	213 0.3×	698 1.7×	470 1.2×	37	2.8k
C. M. Marcus United States	23	2.1k 1.4×	651 0.8×	516 0.8×	313 0.8×	402 1.0×	35	2.5k
Tzu-Chieh Wei United States	32	3.9k 2.6×	3.3k 4.0×	510 0.8×	238 0.6×	234 0.6×	119	4.7k
Luca Leuzzi Italy	22	442 0.3×	166 0.2×	796 1.2×	463 1.1×	447 1.1×	81	1.5k
Michael J. Biercuk Australia	28	2.5k 1.7×	1.8k 2.2×	189 0.3×	267 0.6×	613 1.5×	69	3.3k
Giuliano Benenti Italy	32	2.1k 1.4×	1.2k 1.5×	208 0.3×	1.5k 3.5×	480 1.2×	141	3.0k
Tim Byrnes United States	28	2.7k 1.8×	1.5k 1.8×	251 0.4×	271 0.6×	148 0.4×	128	3.2k
Arnab Das India	22	1.8k 1.2×	703 0.9×	876 1.3×	668 1.6×	115 0.3×	66	2.6k
R. N. Schouten Netherlands	20	3.2k 2.1×	2.4k 3.0×	245 0.4×	264 0.6×	501 1.2×	34	3.9k
Huitao Shen United States	14	1.8k 1.2×	249 0.3×	348 0.5×	754 1.8×	298 0.7×	24	2.1k

Countries citing papers authored by Juan Carrasquilla

Since Specialization

Citations

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

Fields of papers citing papers by Juan Carrasquilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Carrasquilla

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

Wiersema, Roeland, et al.. (2025). Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the square lattice. Physical review. B.. 112(13). 1 indexed citations

Torlai, Giacomo, et al.. (2025). Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice. Communications Physics. 8(1). 4 indexed citations

Wiersema, Roeland, et al.. (2025). Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the triangular lattice. Physical review. B.. 112(13). 1 indexed citations

Carrasquilla, Juan, et al.. (2024). Composite Qdrift-product formulas for quantum and classical simulations in real and imaginary time. Physical Review Research. 6(1). 5 indexed citations

Carrasquilla, Juan, et al.. (2024). Characterization of overparametrization in the simulation of realistic quantum systems. Physical review. A. 109(6). 2 indexed citations

Carrasquilla, Juan, et al.. (2024). Neural network approach to quasiparticle dispersions in doped antiferromagnets. Communications Physics. 7(1). 11 indexed citations

Melko, Roger G. & Juan Carrasquilla. (2024). Language models for quantum simulation. Nature Computational Science. 4(1). 11–18. 10 indexed citations

Torlai, Giacomo, et al.. (2023). Quantum process tomography with unsupervised learning and tensor networks. Nature Communications. 14(1). 2858–2858. 40 indexed citations

Carrasquilla, Juan, et al.. (2023). Synthetic dataset of speckle images for fiber optic temperature sensor. Data in Brief. 48. 109134–109134. 5 indexed citations

10.

López‐Bezanilla, Alejandro, Jack Raymond, Kelly Boothby, et al.. (2023). Kagome qubit ice. Nature Communications. 14(1). 1105–1105. 14 indexed citations

11.

Carrasquilla, Juan & Roger G. Melko. (2017). Machine learning phases of matter. Nature Physics. 13(5). 431–434. 921 indexed citations breakdown →

12.

Carrasquilla, Juan. (2017). Neural Networks Identify Topological Phases. Physics. 10. 6 indexed citations

13.

Carrasquilla, Juan, Salvatore R. Manmana, & Marcos Rigol. (2013). Scaling of the gap, fidelity susceptibility, and Bloch oscillations across the superfluid-to-Mott-insulator transition in the one-dimensional Bose-Hubbard model. Physical Review A. 87(4). 62 indexed citations

14.

Carrasquilla, Juan & Marcos Rigol. (2013). Superfluid to normal phase transition in strongly correlated bosons in two dimensions. Journal of Physics Conference Series. 414. 12028–12028. 1 indexed citations

15.

Mishra, Tapan, Juan Carrasquilla, & Marcos Rigol. (2011). Phase diagram of the half-filled one-dimensionalt-V-V′model. Physical Review B. 84(11). 39 indexed citations

16.

Carrasquilla, Juan, Federico Becca, Andrea Trombettoni, & Michele Fabrizio. (2010). Characterization of the Bose-glass phase in low-dimensional lattices. Physical Review B. 81(19). 13 indexed citations

17.

Castañeda, Román, Juan Carrasquilla, & Jorge Garcı́a-Sucerquia. (2009). Definition and invariance properties of the complex degree of spatial coherence. Journal of the Optical Society of America A. 26(11). 2459–2459. 2 indexed citations

18.

Castañeda, Román & Juan Carrasquilla. (2008). Spatial coherence wavelets and phase-space representation of diffraction. Applied Optics. 47(22). E76–E76. 11 indexed citations

19.

Castañeda, Román, Juan Carrasquilla, & Jorge Garcı́a-Sucerquia. (2006). Young's experiment with electromagnetic spatial coherence wavelets. Journal of the Optical Society of America A. 23(10). 2519–2519. 8 indexed citations

20.

Garcı́a-Sucerquia, Jorge, et al.. (2004). Wavemeter based on moiré effect. Applied Optics. 43(33). 6095–6095. 2 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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