Vadym Kliuchnikov
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Hardware and Architecture
- Co-authors
- Michele MoscaDmitri MaslovAlex BocharovDavid GossetKrysta M. SvoreMichael E. BeverlandEddie SchouteVincent M. Russo
- Topics
- Quantum Computing Algorithms and Architecture (12 papers)Quantum Information and Cryptography (9 papers)Quantum-Dot Cellular Automata (5 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsAtomic and Molecular Physics, and Optics
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Vadym Kliuchnikov
11 papers receiving 312 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 307
- Computational Theory and Mathematics 119
- Atomic and Molecular Physics, and Optics 118
- Electrical and Electronic Engineering 61
- Hardware and Architecture 19
Countries citing papers authored by Vadym Kliuchnikov
This map shows the geographic impact of Vadym Kliuchnikov'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 Vadym Kliuchnikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vadym Kliuchnikov more than expected).
Fields of papers citing papers by Vadym Kliuchnikov
This network shows the impact of papers produced by Vadym Kliuchnikov. 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 Vadym Kliuchnikov. The network helps show where Vadym Kliuchnikov may publish in the future.
Co-authorship network of co-authors of Vadym Kliuchnikov
This figure shows the co-authorship network connecting the top 25 collaborators of Vadym Kliuchnikov. A scholar is included among the top collaborators of Vadym Kliuchnikov 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 Vadym Kliuchnikov. Vadym Kliuchnikov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 17 | |
| 3 | 12 | |
| 4 | 29 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 16 | |
| 8 | 37 | |
| 9 | 34 | |
| 10 | 75 | |
| 11 | 15 | |
| 12 | 71 |
About Vadym Kliuchnikov
Vadym Kliuchnikov is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Artificial Intelligence, having authored 12 papers that have together received 330 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (9 papers) and Quantum-Dot Cellular Automata (5 papers). The work is most often cited by research in Artificial Intelligence (307 citations), Computational Theory and Mathematics (119 citations) and Atomic and Molecular Physics, and Optics (118 citations). Vadym Kliuchnikov has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Michele Mosca, Dmitri Maslov, Alex Bocharov, David Gosset, Krysta M. Svore, Michael E. Beverland, Eddie Schoute, Vincent M. Russo, Guang Hao Low and Luke Schaeffer. Their work appears in journals such as Physical Review Letters, Physical Review A and Journal of Mathematical Physics.
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.