Yu. I. Bogdanov
- Acoustics and Ultrasonics top 5%
- Random lasers and scattering media 8
- Artificial Intelligence top 2%
- Quantum Information and Cryptography 52
- Quantum Computing Algorithms and Architecture 22
- Neural Networks and Reservoir Computing 5
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- Quantum Mechanics and Applications 38
- Quantum optics and atomic interactions 19
- Cold Atom Physics and Bose-Einstein Condensates 5
- Laser-Matter Interactions and Applications 5
- Co-authors
- S. P. KulikEkaterina MorevaGleb MaslennikovMeng Khoon TeyMaria V. ChekhovaA. A. ZhukovC. H. OhВ. Ф. Лукичев
- Partner nations
- RussiaTajikistanSingapore
In The Last Decade
Yu. I. Bogdanov
60 papers receiving 572 citations
Peers
Comparison fields: 5 of 46
- Acoustics and Ultrasonics 50
- Artificial Intelligence 515
- Atomic and Molecular Physics, and Optics 497
- Instrumentation 16
- Statistical and Nonlinear Physics 41
Countries citing papers authored by Yu. I. Bogdanov
This map shows the geographic impact of Yu. I. Bogdanov'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 Yu. I. Bogdanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. I. Bogdanov more than expected).
Fields of papers citing papers by Yu. I. Bogdanov
This network shows the impact of papers produced by Yu. I. Bogdanov. 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 Yu. I. Bogdanov. The network helps show where Yu. I. Bogdanov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu. I. Bogdanov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 1 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 4 | |
| 14 | The family of photon subtracted thermal states: description, preparation and reconstruction | 2016 | 2 |
| 15 | 2016 | 6 | |
| 16 | 2014 | 1 | |
| 17 | 2010 | 58 | |
| 18 | 2009 | 23 | |
| 19 | 2004 | 104 | |
| 20 | 2003 | 9 |
About Yu. I. Bogdanov
Yu. I. Bogdanov is a scholar working on Acoustics and Ultrasonics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 74 papers that have together received 591 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (52 papers), Quantum Mechanics and Applications (38 papers), Quantum Computing Algorithms and Architecture (22 papers), Quantum optics and atomic interactions (19 papers), Random lasers and scattering media (8 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Neural Networks and Reservoir Computing (5 papers) and Laser-Matter Interactions and Applications (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (50 citations), Artificial Intelligence (515 citations) and Atomic and Molecular Physics, and Optics (497 citations). Yu. I. Bogdanov has collaborated with scholars based in Russia, Tajikistan and Singapore. Frequent co-authors include S. P. Kulik, Ekaterina Moreva, Gleb Maslennikov, Meng Khoon Tey, Maria V. Chekhova, A. A. Zhukov, C. H. Oh, В. Ф. Лукичев, K. G. Katamadze and Marco Genovese. Their work appears in journals such as Physical Review Letters, Physical Review A and Optics Express.
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.