Askery Canabarro

777 total citations
31 papers, 513 citations indexed

About

Askery Canabarro is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Askery Canabarro has authored 31 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atomic and Molecular Physics, and Optics, 11 papers in Artificial Intelligence and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Askery Canabarro's work include Quantum Information and Cryptography (10 papers), Quantum Mechanics and Applications (8 papers) and Advanced Fiber Laser Technologies (6 papers). Askery Canabarro is often cited by papers focused on Quantum Information and Cryptography (10 papers), Quantum Mechanics and Applications (8 papers) and Advanced Fiber Laser Technologies (6 papers). Askery Canabarro collaborates with scholars based in Brazil, United States and Italy. Askery Canabarro's co-authors include Rafael Chaves, M. L. Lyra, Samuraí Brito, Iram Gléria, Daniel Cavalcanti, Rodrigo G. Pereira, I. N. de Oliveira, F. F. Fanchini, A. L. Malvezzi and Bertúlio de Lima Bernardo and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Askery Canabarro

31 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Askery Canabarro Brazil 15 235 179 84 81 63 31 513
Roberto Mulet Cuba 14 115 0.5× 80 0.4× 149 1.8× 25 0.3× 6 0.1× 64 640
A. M. S. Macêdo Brazil 15 404 1.7× 80 0.4× 210 2.5× 18 0.2× 82 1.3× 71 635
Anupam Kundu India 19 289 1.2× 40 0.2× 812 9.7× 91 1.1× 58 0.9× 67 1.4k
Sebastián Gonçalves Brazil 16 86 0.4× 34 0.2× 239 2.8× 34 0.4× 41 0.7× 60 637
L.S. Lima Brazil 16 600 2.6× 61 0.3× 71 0.8× 12 0.1× 30 0.5× 113 808
A. Pal India 22 83 0.4× 53 0.3× 1.0k 12.4× 266 3.3× 55 0.9× 60 2.0k
Catherine Lepers France 13 199 0.8× 25 0.1× 79 0.9× 338 4.2× 46 0.7× 47 818
Francesco Caravelli United States 17 266 1.1× 241 1.3× 236 2.8× 16 0.2× 4 0.1× 61 889
Dafang Zheng China 17 197 0.8× 15 0.1× 298 3.5× 76 0.9× 16 0.3× 48 791
Jesús Cuevas–Maraver Spain 20 661 2.8× 36 0.2× 786 9.4× 25 0.3× 102 1.6× 77 1.1k

Countries citing papers authored by Askery Canabarro

Since Specialization
Citations

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

Fields of papers citing papers by Askery Canabarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Askery Canabarro

This figure shows the co-authorship network connecting the top 25 collaborators of Askery Canabarro. A scholar is included among the top collaborators of Askery Canabarro 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 Askery Canabarro. Askery Canabarro 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.
Canabarro, Askery, et al.. (2025). Predicting topological invariants and unconventional superconducting pairing from density of states and machine learning. Physical review. B.. 111(1). 2 indexed citations
2.
Silva, Leandro, et al.. (2024). Detecting quantum phase transitions in a frustrated spin chain via transfer learning of a quantum classifier algorithm. Physical review. A. 109(5). 3 indexed citations
3.
Lins, Isis Didier, et al.. (2024). Quantum machine learning for drowsiness detection with EEG signals. Process Safety and Environmental Protection. 186. 1197–1213. 10 indexed citations
4.
Moura, André L., Askery Canabarro, Emerson de Lima, et al.. (2023). 780 nm near-infrared photorefractive holograms recorded in undoped Bi12TiO20 crystal under the action of external electric field. Optical Materials. 142. 114032–114032. 2 indexed citations
5.
Polino, Emanuele, Davide Poderini, Iris Agresti, et al.. (2023). Experimental nonclassicality in a causal network without assuming freedom of choice. Nature Communications. 14(1). 909–909. 13 indexed citations
6.
Suprano, Alessia, Davide Poderini, Emanuele Polino, et al.. (2022). Experimental Genuine Tripartite Nonlocality in a Quantum Triangle Network. PRX Quantum. 3(3). 16 indexed citations
7.
Canabarro, Askery, et al.. (2022). Quantum Finance: um tutorial de computação quântica aplicada ao mercado financeiro. SHILAP Revista de lepidopterología. 44. 3 indexed citations
8.
Chaves, Rafael, Emanuele Polino, Davide Poderini, et al.. (2021). Causal Networks and Freedom of Choice in Bell’s Theorem. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 21 indexed citations
9.
Brito, Samuraí, Askery Canabarro, Daniel Cavalcanti, & Rafael Chaves. (2021). Satellite-Based Photonic Quantum Networks Are Small-World. PRX Quantum. 2(1). 28 indexed citations
11.
Brito, Samuraí, Askery Canabarro, Rafael Chaves, & Daniel Cavalcanti. (2020). Statistical Properties of the Quantum Internet. Physical Review Letters. 124(21). 210501–210501. 35 indexed citations
12.
Bernardo, Bertúlio de Lima, et al.. (2019). Greenberger–Horne–Zeilinger state generation with linear optical elements. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 1 indexed citations
13.
Canabarro, Askery, Samuraí Brito, & Rafael Chaves. (2019). Machine Learning Nonlocal Correlations. Physical Review Letters. 122(20). 200401–200401. 54 indexed citations
14.
Canabarro, Askery, F. F. Fanchini, A. L. Malvezzi, Rodrigo G. Pereira, & Rafael Chaves. (2019). Unveiling phase transitions with machine learning. Physical review. B.. 100(4). 57 indexed citations
15.
Canabarro, Askery, Bertúlio de Lima Bernardo, André L. Moura, et al.. (2016). Modulation instability in noninstantaneous Kerr media with walk-off and cross-phase modulation for mixed group-velocity-dispersion regimes. Physical review. A. 93(2). 21 indexed citations
16.
Canabarro, Askery, et al.. (2015). Stochastic noise amplification of partially coherent CW beam in the region of minimum GVD in lossless Kerr media with delayed response. Annals of Physics. 363. 476–484. 5 indexed citations
17.
Soares, W. C., André L. Moura, Askery Canabarro, Emerson de Lima, & Jandir M. Hickmann. (2015). Singular optical lattice generation using light beams with orbital angular momentum. Optics Letters. 40(22). 5129–5129. 6 indexed citations
18.
Canabarro, Askery, et al.. (2010). A molecular dynamics study of ferroelectric nanoparticles immersed in a nematic liquid crystal. The European Physical Journal E. 31(1). 81–87. 18 indexed citations
19.
Canabarro, Askery, I. N. de Oliveira, & M. L. Lyra. (2008). Homeotropic surface anchoring and the layer-thinning transition in free-standing films. Physical Review E. 77(1). 11704–11704. 22 indexed citations
20.
Canabarro, Askery, Iram Gléria, & M. L. Lyra. (2004). Periodic solutions and chaos in a non-linear model for the delayed cellular immune response. Physica A Statistical Mechanics and its Applications. 342(1-2). 234–241. 79 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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