Danylo Lykov

504 total citations
10 papers, 137 citations indexed

About

Danylo Lykov is a scholar working on Artificial Intelligence, Hardware and Architecture and Computational Mathematics. According to data from OpenAlex, Danylo Lykov has authored 10 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Hardware and Architecture and 2 papers in Computational Mathematics. Recurrent topics in Danylo Lykov's work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (7 papers) and Parallel Computing and Optimization Techniques (5 papers). Danylo Lykov is often cited by papers focused on Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (7 papers) and Parallel Computing and Optimization Techniques (5 papers). Danylo Lykov collaborates with scholars based in United States and Russia. Danylo Lykov's co-authors include Jonathan Wurtz, Yuri Alexeev, Alexey Galda, Ivan Oseledets, C. Poole, M. Saffman, Thomas Noël, Marco Pistoia, Yue Sun and Ruslan Shaydulin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. A and npj Quantum Information.

In The Last Decade

Danylo Lykov

10 papers receiving 131 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danylo Lykov United States	7	124	36	32	31	15	10	137
Vicente Leyton‐Ortega United States	2	192 1.5×	27 0.8×	76 2.4×	16 0.5×	20 1.3×	4	198
Teague Tomesh United States	7	191 1.5×	44 1.2×	84 2.6×	19 0.6×	28 1.9×	17	207
Daniel Bochen Tan United States	8	153 1.2×	44 1.2×	52 1.6×	27 0.9×	32 2.1×	11	162
Xin-Chuan Wu United States	5	110 0.9×	15 0.4×	28 0.9×	38 1.2×	35 2.3×	8	124
Alexander Poremba United States	3	217 1.8×	45 1.3×	91 2.8×	9 0.3×	27 1.8×	5	229
Andreas Bärtschi United States	8	101 0.8×	25 0.7×	40 1.3×	3 0.1×	15 1.0×	24	130
Seyon Sivarajah United Kingdom	3	259 2.1×	61 1.7×	80 2.5×	46 1.5×	56 3.7×	3	269
Silas Dilkes United Kingdom	3	261 2.1×	61 1.7×	81 2.5×	46 1.5×	56 3.7×	5	271
Julien Gacon Switzerland	3	163 1.3×	40 1.1×	71 2.2×	6 0.2×	21 1.4×	4	179
Thomas Gatterman United States	2	199 1.6×	44 1.2×	111 3.5×	8 0.3×	38 2.5×	2	216

Countries citing papers authored by Danylo Lykov

Since Specialization

Citations

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

Fields of papers citing papers by Danylo Lykov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danylo Lykov

This figure shows the co-authorship network connecting the top 25 collaborators of Danylo Lykov. A scholar is included among the top collaborators of Danylo Lykov 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 Danylo Lykov. Danylo Lykov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Lykov, Danylo, Jonathan Wurtz, C. Poole, et al.. (2023). Sampling frequency thresholds for the quantum advantage of the quantum approximate optimization algorithm. npj Quantum Information. 9(1). 22 indexed citations

2.

Lykov, Danylo, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, & Marco Pistoia. (2023). Fast Simulation of High-Depth QAOA Circuits. 1443–1451. 13 indexed citations

3.

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

4.

Shah, Milan, Xiaodong Yu, Sheng Di, et al.. (2023). GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. 757–767. 2 indexed citations

5.

Lykov, Danylo, et al.. (2022). Tensor Network Quantum Simulator With Step-Dependent Parallelization. 582–593. 15 indexed citations

6.

Lykov, Danylo, et al.. (2022). Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. 1–8. 5 indexed citations

7.

Liu, Minzhao, et al.. (2022). Embedding Learning in Hybrid Quantum-Classical Neural Networks. 79–86. 5 indexed citations

8.

Wurtz, Jonathan & Danylo Lykov. (2021). Fixed-angle conjectures for the quantum approximate optimization algorithm on regular MaxCut graphs. Physical review. A. 104(5). 40 indexed citations

9.

Lykov, Danylo & Yuri Alexeev. (2021). Importance of Diagonal Gates in Tensor Network Simulations. 447–452. 9 indexed citations

10.

Lykov, Danylo, et al.. (2020). Adaptive algorithm for quantum circuit simulation. Physical review. A. 101(4). 14 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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