Alexey Galda

1.1k total citations · 1 hit paper
28 papers, 530 citations indexed

About

Alexey Galda is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Alexey Galda has authored 28 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atomic and Molecular Physics, and Optics, 12 papers in Artificial Intelligence and 7 papers in Condensed Matter Physics. Recurrent topics in Alexey Galda's work include Quantum Computing Algorithms and Architecture (11 papers), Quantum and electron transport phenomena (7 papers) and Physics of Superconductivity and Magnetism (7 papers). Alexey Galda is often cited by papers focused on Quantum Computing Algorithms and Architecture (11 papers), Quantum and electron transport phenomena (7 papers) and Physics of Superconductivity and Magnetism (7 papers). Alexey Galda collaborates with scholars based in United States, Russia and Netherlands. Alexey Galda's co-authors include V. M. Vinokur, Yuri Alexeev, Alán Aspuru‐Guzik, Alba Cervera-Lierta, Mario Krenn, Xufeng Zhang, Xiaoyuan Liu, Andreas Glatz, Xu Han and Dafei Jin and has published in prestigious journals such as Chemical Reviews, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Alexey Galda

25 papers receiving 517 citations

Hit Papers

Quantum computing for finance 2023 2026 2024 2025 2023 25 50 75
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. Quantum computing for finance
    2023 97 citations Dylan Herman, Xiaoyuan Liu et al. Nature Reviews Physics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexey Galda United States 13 349 213 80 77 61 28 530
Fengping Jin Germany 16 452 1.3× 375 1.8× 79 1.0× 48 0.6× 148 2.4× 49 697
Alexander Grimm France 11 362 1.0× 351 1.6× 99 1.2× 64 0.8× 20 0.3× 18 553
Hekang Li China 14 712 2.0× 546 2.6× 84 1.1× 97 1.3× 79 1.3× 29 883
Stuart Flannigan United Kingdom 8 362 1.0× 301 1.4× 36 0.5× 44 0.6× 55 0.9× 10 508
Rami Pugatch Israel 12 725 2.1× 214 1.0× 67 0.8× 78 1.0× 172 2.8× 26 845
E. Ladizinsky United States 11 370 1.1× 396 1.9× 142 1.8× 102 1.3× 30 0.5× 16 573
Agustín Di Paolo United States 14 385 1.1× 374 1.8× 59 0.7× 48 0.6× 26 0.4× 19 520
Chu Guo China 18 638 1.8× 587 2.8× 91 1.1× 65 0.8× 143 2.3× 71 947
Xingze Qiu China 11 495 1.4× 216 1.0× 39 0.5× 38 0.5× 136 2.2× 23 593
Jin-Guo Liu China 8 285 0.8× 338 1.6× 97 1.2× 35 0.5× 51 0.8× 14 530

Countries citing papers authored by Alexey Galda

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Galda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Galda

This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Galda. A scholar is included among the top collaborators of Alexey Galda 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 Alexey Galda. Alexey Galda 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.
Farag, Marwa, et al.. (2025). Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries. Chemical Reviews. 125(12). 5436–5460. 4 indexed citations
3.
Yamamoto, Takahiro, et al.. (2024). mRNA Secondary Structure Prediction Using Utility-Scale Quantum Computers. 488–499. 6 indexed citations
4.
Herman, Dylan, Xiaoyuan Liu, Yue Sun, et al.. (2023). Quantum computing for finance. Nature Reviews Physics. 5(8). 450–465. 97 indexed citations breakdown →
5.
Huembeli, Patrick, et al.. (2023). Towards a scalable discrete quantum generative adversarial neural network. Quantum Science and Technology. 8(3). 35002–35002. 4 indexed citations
6.
Galda, Alexey, E Gupta, Xiaoyuan Liu, et al.. (2023). Similarity-based parameter transferability in the quantum approximate optimization algorithm. SHILAP Revista de lepidopterología. 2. 12 indexed citations
7.
Alexeev, Yuri, et al.. (2022). Augmenting QAOA Ansatz with Multiparameter Problem-Independent Layer. 97–103. 13 indexed citations
8.
Cervera-Lierta, Alba, Mario Krenn, Alán Aspuru‐Guzik, & Alexey Galda. (2022). Experimental High-Dimensional Greenberger-Horne-Zeilinger Entanglement with Superconducting Transmon Qutrits. Physical Review Applied. 17(2). 66 indexed citations
9.
10.
Smith, Kaitlin N., Gokul Subramanian Ravi, Thomas Alexander, et al.. (2022). Programming physical quantum systems with pulse-level control. Frontiers in Physics. 10. 4 indexed citations
11.
Lykov, Danylo, et al.. (2022). Tensor Network Quantum Simulator With Step-Dependent Parallelization. 582–593. 15 indexed citations
12.
Galda, Alexey, et al.. (2021). Toffoli Gate Depth Reduction in Fixed Frequency Transmon Qutrits. Bulletin of the American Physical Society. 2 indexed citations
13.
Golubev, Dmitry S., Zhenbing Tan, Alexey Galda, et al.. (2021). Nonlocal thermoelectricity in a hybrid superconducting graphene device. AIP conference proceedings. 2362. 30003–30003.
14.
Baudry, L., Anaïs Sené, Alexey Galda, et al.. (2020). Controllable skyrmion chirality in ferroelectrics. Scientific Reports. 10(1). 8657–8657. 35 indexed citations
15.
Varlamov, A. A., Alexey Galda, & Andreas Glatz. (2018). Fluctuation spectroscopy: From Rayleigh-Jeans waves to Abrikosov vortex clusters. Reviews of Modern Physics. 90(1). 40 indexed citations
16.
Lankhorst, M.H.R., Nicola Poccia, Alexey Galda, et al.. (2018). Scaling universality at the dynamic vortex Mott transition. Physical review. B.. 97(2). 15 indexed citations
17.
Galda, Alexey & V. M. Vinokur. (2017). Linear dynamics of classical spin as Möbius transformation. Scientific Reports. 7(1). 1168–1168. 10 indexed citations
18.
Rademaker, Louk, V. M. Vinokur, & Alexey Galda. (2017). Universality and critical behavior of the dynamical Mott transition in a system with long-range interactions. Scientific Reports. 7(1). 44044–44044. 3 indexed citations
19.
Galda, Alexey, A. S. Mel’nikov, & V. M. Vinokur. (2015). Resonant tunneling of fluctuation Cooper pairs. Scientific Reports. 5(1). 8315–8315.
20.
Yurkevich, I. V., Alexey Galda, Oleg M. Yevtushenko, & Igor V. Lerner. (2013). Duality of Weak and Strong Scatterer in a Luttinger Liquid Coupled to Massless Bosons. Physical Review Letters. 110(13). 136405–136405. 15 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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