Alexey Melnikov

2.2k total citations · 1 hit paper
115 papers, 1.4k citations indexed

About

Alexey Melnikov is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Alexey Melnikov has authored 115 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atomic and Molecular Physics, and Optics, 32 papers in Artificial Intelligence and 25 papers in Materials Chemistry. Recurrent topics in Alexey Melnikov's work include Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (16 papers) and Photochemistry and Electron Transfer Studies (8 papers). Alexey Melnikov is often cited by papers focused on Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (16 papers) and Photochemistry and Electron Transfer Studies (8 papers). Alexey Melnikov collaborates with scholars based in Russia, Austria and Germany. Alexey Melnikov's co-authors include Hans J. Briegel, С. В. Чекалин, Vedran Dunjko, O. V. Misochko, Mario Krenn, Anton Zeilinger, Hendrik Poulsen Nautrup, Markus Tiersch, Ivan P. Pozdnyakov and Wolfgang Dür and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Alexey Melnikov

100 papers receiving 1.3k citations

Hit Papers

Active learning machine learns to create new quantum expe... 2018 2026 2020 2023 2018 50 100 150
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. Active learning machine learns to create new quantum experiments
    2018 177 citations Alexey Melnikov et al. 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 Melnikov Russia 20 551 405 256 243 107 115 1.4k
Yanjun Ma United States 25 654 1.2× 466 1.2× 300 1.2× 449 1.8× 73 0.7× 96 2.0k
Yuhua Li China 24 397 0.7× 520 1.3× 343 1.3× 368 1.5× 107 1.0× 97 1.9k
Ji-Gen Chen China 22 158 0.3× 1.2k 3.0× 398 1.6× 452 1.9× 263 2.5× 85 2.0k
Mario Geiger Switzerland 11 203 0.4× 152 0.4× 189 0.7× 918 3.8× 36 0.3× 20 1.4k
Susanta Ghosh United States 19 108 0.2× 244 0.6× 77 0.3× 231 1.0× 157 1.5× 51 1.2k
Peter Gräf United States 24 92 0.2× 316 0.8× 704 2.8× 292 1.2× 63 0.6× 95 1.8k
Ryo Tamura Japan 25 218 0.4× 415 1.0× 453 1.8× 1.3k 5.3× 53 0.5× 117 2.2k

Countries citing papers authored by Alexey Melnikov

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Melnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Melnikov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Melnikov. A scholar is included among the top collaborators of Alexey Melnikov 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 Melnikov. Alexey Melnikov 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.
Baklanov, Alexey V., Ivan P. Pozdnyakov, Yuri P. Tsentalovich, et al.. (2025). Photophysics and photochemistry of a prospective light-activated anticancer dirhodium complex. Physical Chemistry Chemical Physics. 27(21). 11089–11101.
2.
Melnikov, Alexey, et al.. (2024). Quantum machine learning for image classification. Machine Learning Science and Technology. 5(1). 15040–15040. 48 indexed citations
3.
Grivin, Vjacheslav P., Ivan P. Pozdnyakov, Alexey V. Baklanov, et al.. (2024). Photophysical properties of benzo[i]dipyrido[3,2-a:2′,3′-c] phenazine (dppn) – A prospective ligand for light-activated anticancer complexes. Journal of Luminescence. 275. 120804–120804. 1 indexed citations
4.
Senichev, Yu., et al.. (2024). Quasi-Frozen Spin Structures at the NICA Collider as an Option to Search for the Electric Dipole Moment of Deuterons and Axion Dark Matter. Physics of Particles and Nuclei Letters. 21(3). 261–265. 1 indexed citations
5.
Bonazza, Deborah, et al.. (2024). Hybrid Quantum Image Classification and Federated Learning for Hepatic Steatosis Diagnosis. Diagnostics. 14(5). 558–558. 9 indexed citations
6.
Melnikov, Alexey, et al.. (2024). Hybrid Quantum Cycle Generative Adversarial Network for Small Molecule Generation. IEEE Transactions on Quantum Engineering. 5. 1–14. 8 indexed citations
7.
Melnikov, Alexey, et al.. (2024). ByPass optics design in NICA storage ring for experiment with polarized beams for EDM search. Journal of Physics Conference Series. 2687(2). 22026–22026.
8.
Melnikov, Alexey, et al.. (2023). Hybrid quantum ResNet for car classification and its hyperparameter optimization. Quantum Machine Intelligence. 5(2). 22 indexed citations
9.
Melnikov, Alexey, et al.. (2023). Hybrid Quantum Neural Network for Drug Response Prediction. Cancers. 15(10). 2705–2705. 59 indexed citations
10.
Sekatski, Pavel, et al.. (2023). An exponentially-growing family of universal quantum circuits. Machine Learning Science and Technology. 4(3). 35036–35036. 9 indexed citations
11.
Sekatski, Pavel, et al.. (2023). Automated design of quantum-optical experiments for device-independent quantum key distribution. Physical review. A. 107(6). 9 indexed citations
12.
Melnikov, Alexey, et al.. (2023). Quantum walk processes in quantum devices. Heliyon. 9(3). e13416–e13416. 4 indexed citations
13.
Melnikov, Alexey, Pavel Sekatski, & Nicolas Sangouard. (2020). Setting Up Experimental Bell Tests with Reinforcement Learning. Physical Review Letters. 125(16). 160401–160401. 23 indexed citations
14.
Melnikov, Alexey, Leonid Fedichkin, & A. P. Alodjants. (2019). Detecting quantum speedup by quantum walk with convolutional neural networks.. arXiv (Cornell University). 6 indexed citations
15.
16.
Pozdnyakov, Ivan P., et al.. (2017). Short-lived intermediates in photochemistry of an OsCl62− complex in aqueous solutions. Photochemical & Photobiological Sciences. 17(1). 18–26. 9 indexed citations
17.
Murzin, Serguei P., et al.. (2015). Determining ways of improving the tribological properties of the silicon carbide ceramic using a pulse-periodic laser treatment. Computer Optics. 39(1). 64–69. 13 indexed citations
18.
Melnikov, Alexey, et al.. (1984). Crystal structure of the potassium salt of 2-methyl-5-dinitromethyltetrazole. Journal of Structural Chemistry. 25(2). 339–341. 1 indexed citations
19.
Melnikov, Alexey, et al.. (1984). Crystal structure of the ammonium salt of 5-dinitrochloromethyltetrazole. Journal of Structural Chemistry. 25(2). 336–338. 1 indexed citations
20.
Белов, С. П., A. F. Krupnov, & Alexey Melnikov. (1982). Investigation of pressure shifts of frequencies in a system of successive transitions of the /N-14/H3 molecule in the nu2-excited vibrational state. 25(6). 718–720. 1 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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