Oleksandr Kyriienko

2.1k total citations
59 papers, 1.3k citations indexed

About

Oleksandr Kyriienko is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Oleksandr Kyriienko has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Atomic and Molecular Physics, and Optics, 19 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Oleksandr Kyriienko's work include Strong Light-Matter Interactions (35 papers), Quantum and electron transport phenomena (18 papers) and Quantum Information and Cryptography (13 papers). Oleksandr Kyriienko is often cited by papers focused on Strong Light-Matter Interactions (35 papers), Quantum and electron transport phenomena (18 papers) and Quantum Information and Cryptography (13 papers). Oleksandr Kyriienko collaborates with scholars based in Iceland, United Kingdom and Singapore. Oleksandr Kyriienko's co-authors include I. A. Shelykh, T. C. H. Liew, Vincent E. Elfving, Valerii K. Kozin, V. Shahnazaryan, I. A. Shelykh, O. V. Kibis, Ivan Iorsh, Anders S. Sørensen and D. N. Krizhanovskii and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical Review B.

In The Last Decade

Oleksandr Kyriienko

55 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oleksandr Kyriienko Iceland 21 1.0k 410 375 240 175 59 1.3k
B. Royall United Kingdom 16 906 0.9× 326 0.8× 413 1.1× 77 0.3× 226 1.3× 28 1.0k
Elena del Valle Spain 24 1.9k 1.9× 968 2.4× 463 1.2× 50 0.2× 318 1.8× 58 2.0k
René Reimann Switzerland 21 1.1k 1.1× 346 0.8× 439 1.2× 65 0.3× 193 1.1× 37 1.4k
Abdelmounaïm Harouri France 17 745 0.7× 271 0.7× 237 0.6× 96 0.4× 173 1.0× 43 941
Carlos Sánchez Muñoz Spain 22 1.1k 1.0× 710 1.7× 208 0.6× 41 0.2× 127 0.7× 40 1.2k
Tingge Gao China 19 1.4k 1.4× 146 0.4× 220 0.6× 86 0.4× 324 1.9× 38 1.5k
P. Roulleau France 20 1.6k 1.5× 594 1.4× 538 1.4× 393 1.6× 58 0.3× 39 1.7k
Jared Hertzberg United States 12 1.8k 1.7× 573 1.4× 1.2k 3.2× 102 0.4× 110 0.6× 19 1.9k
C. Gómez France 7 1.1k 1.0× 524 1.3× 667 1.8× 136 0.6× 310 1.8× 8 1.3k
Benjamin A. Stickler Germany 19 943 0.9× 275 0.7× 190 0.5× 71 0.3× 121 0.7× 52 1.1k

Countries citing papers authored by Oleksandr Kyriienko

Since Specialization
Citations

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

Fields of papers citing papers by Oleksandr Kyriienko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oleksandr Kyriienko

This figure shows the co-authorship network connecting the top 25 collaborators of Oleksandr Kyriienko. A scholar is included among the top collaborators of Oleksandr Kyriienko 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 Oleksandr Kyriienko. Oleksandr Kyriienko 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.
2.
Gentile, Antonio A., et al.. (2025). Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics. Advanced Quantum Technologies. 9(2).
3.
Kyriienko, Oleksandr, P. Tolias, Panagiotis Kl. Barkoutsos, et al.. (2024). Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications. Open Research Exeter (University of Exeter). 310–313. 1 indexed citations
4.
Wu, Hsin‐Yu, Vincent E. Elfving, & Oleksandr Kyriienko. (2024). Multidimensional Quantum Generative Modeling by Quantum Hartley Transform. Advanced Quantum Technologies. 8(3).
5.
Makhonin, M. N., P. M. Walker, Sai Kiran Rajendran, et al.. (2024). Nonlinear Rydberg exciton-polaritons in Cu2O microcavities. Light Science & Applications. 13(1). 47–47. 12 indexed citations
6.
Kyriienko, Oleksandr, et al.. (2024). Protocols for trainable and differentiable quantum generative modeling. Physical Review Research. 6(3). 1 indexed citations
7.
Elfving, Vincent E., et al.. (2023). Quantum kernel methods for solving regression problems and differential equations. Physical review. A. 107(3). 24 indexed citations
8.
Genco, Armando, Thomas P. Lyons, Chiara Trovatello, et al.. (2023). Interspecies exciton interactions lead to enhanced nonlinearity of dipolar excitons and polaritons in MoS2 homobilayers. Nature Communications. 14(1). 3818–3818. 30 indexed citations
9.
Kasture, Sachin, Oleksandr Kyriienko, & Vincent E. Elfving. (2023). Protocols for classically training quantum generative models on probability distributions. Physical review. A. 108(4). 3 indexed citations
10.
Sørensen, Anders S., et al.. (2023). Quantum manipulation of a two-level mechanical system. Quantum. 7. 943–943. 4 indexed citations
11.
Walker, P. M., Oleksandr Kyriienko, I. A. Shelykh, et al.. (2022). Few-photon all-optical phase rotation in a quantum-well micropillar cavity. Nature Photonics. 16(8). 566–569. 18 indexed citations
12.
Sigurðsson, Helgi, Valerii K. Kozin, Ivan Iorsh, et al.. (2022). Machine learning of phase transitions in nonlinear polariton lattices. Communications Physics. 5(1). 14 indexed citations
13.
Gulevich, D. R., et al.. (2022). Microscopic theory of exciton and trion polaritons in doped monolayers of transition metal dichalcogenides. npj Computational Materials. 8(1). 12 indexed citations
14.
Kyriienko, Oleksandr, et al.. (2021). Solving nonlinear differential equations with differentiable quantum circuits. Physical review. A. 103(5). 112 indexed citations
15.
Kyriienko, Oleksandr, et al.. (2014). Semiconductor cavity QED: Band gap induced by vacuum fluctuations. Physical Review A. 89(6). 6 indexed citations
16.
Kyriienko, Oleksandr, A. V. Kavokin, & I. A. Shelykh. (2013). Superradiant Terahertz Emission by Dipolaritons. Physical Review Letters. 111(17). 176401–176401. 42 indexed citations
17.
Kyriienko, Oleksandr & I. A. Shelykh. (2013). Intersubband polaritons with spin-orbit interaction. Physical Review B. 87(7). 4 indexed citations
18.
Kibis, O. V., Oleksandr Kyriienko, & I. A. Shelykh. (2013). Persistent current induced by vacuum fluctuations in a quantum ring. Physical Review B. 87(24). 26 indexed citations
19.
Kyriienko, Oleksandr & I. A. Shelykh. (2011). Elementary excitations in spinor polariton-electron systems. Physical Review B. 84(12). 6 indexed citations
20.
Еvtukh, А.А., Oktay Yilmazoglu, В. Г. Литовченко, et al.. (2010). Peculiarities of the photon-assisted field emissions from GaN nanorods. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 28(2). C2A72–C2A76. 9 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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