Alexey Melnikov
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Electrical and Electronic Engineering
- Materials Chemistry
- Spectroscopy top 10%
- Co-authors
- Hans J. BriegelС. В. ЧекалинVedran DunjkoO. V. MisochkoMario KrennAnton ZeilingerHendrik Poulsen NautrupMarkus Tiersch
- Topics
- Quantum Computing Algorithms and Architecture (23 papers)Quantum Information and Cryptography (16 papers)Photochemistry and Electron Transfer Studies (8 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersSHILAP Revista de lepidopterología
In The Last Decade
Alexey Melnikov
100 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 551
- Atomic and Molecular Physics, and Optics 405
- Electrical and Electronic Engineering 256
- Materials Chemistry 243
- Spectroscopy 107
Countries citing papers authored by Alexey Melnikov
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 48 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 22 | |
| 9 | 59 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 23 | |
| 14 | Detecting quantum speedup by quantum walk with convolutional neural networks. | 6 |
| 15 | 10 | |
| 16 | 9 | |
| 17 | 13 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Investigation of pressure shifts of frequencies in a system of successive transitions of the /N-14/H3 molecule in the nu2-excited vibrational state | 1 |
About Alexey Melnikov
Alexey Melnikov is a scholar working on General Materials Science, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry, having authored 115 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (16 papers) and Photochemistry and Electron Transfer Studies (8 papers). The work is most often cited by research in Artificial Intelligence (551 citations), Atomic and Molecular Physics, and Optics (405 citations) and Structural Biology (13 citations). Alexey Melnikov has collaborated with scholars based in Russia, Austria and Germany. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.
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.