Vicky Choi
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
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- Quantum-Dot Cellular Automata
- Computability, Logic, AI Algorithms
Papers in ⓘ
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- Rough Sets and Fuzzy Logic 3
- Quantum-Dot Cellular Automata 2
- Computational Drug Discovery Methods 2
- Co-authors
- M. H. S. Amin (2 shared papers)Mordecai J. Golin (1 shared paper)P. Bunyk (1 shared paper)Geordie Rose (1 shared paper)R. Harris (1 shared paper)Martı́n Farach-Colton (1 shared paper)A. J. Berkley (1 shared paper)Seth Lloyd (1 shared paper)
- Journals
- Algorithmica (2 papers)Physical Review A (1 paper)Gene (1 paper)Journal of Bioinformatics and Computational Biology (1 paper)Physical Review B (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Vicky Choi
14 papers receiving 368 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 321
- Computational Theory and Mathematics 120
- Atomic and Molecular Physics, and Optics 120
- Computational Mathematics 2
- Statistical and Nonlinear Physics 16
Countries citing papers authored by Vicky Choi
This map shows the geographic impact of Vicky Choi'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 Vicky Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicky Choi more than expected).
Fields of papers citing papers by Vicky Choi
This network shows the impact of papers produced by Vicky Choi. 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 Vicky Choi. The network helps show where Vicky Choi may publish in the future.
Co-authors
The 20 scholars most cited alongside Vicky Choi, 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 | 2008 | 221 | |
| 2 | 2009 | 70 | |
| 3 | 2009 | 25 | |
| 4 | 2001 | 14 | |
| 5 | 2008 | 11 | |
| 6 | 2005 | 11 | |
| 7 | 2008 | 10 | |
| 8 | 2005 | 9 | |
| 9 | 2011 | 8 | |
| 10 | 2003 | 6 | |
| 11 | 2010 | 3 | |
| 12 | 2007 | 3 | |
| 13 | Faster Algorithms for Constructing a Galois Lattice, Enumerating All Maximal Bipartite Cliques and Closed Frequent Sets | 2006 | 2 |
| 14 | 2007 | 2 |
About Vicky Choi
Vicky Choi is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Artificial Intelligence, Molecular Biology and Signal Processing, having authored 14 papers that have together received 395 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (4 papers), Quantum Information and Cryptography (4 papers), Genomics and Phylogenetic Studies (3 papers), Rough Sets and Fuzzy Logic (3 papers), Quantum-Dot Cellular Automata (2 papers), Quantum and electron transport phenomena (2 papers), Computational Drug Discovery Methods (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Artificial Intelligence (321 citations), Computational Theory and Mathematics (120 citations), Atomic and Molecular Physics, and Optics (120 citations), Computational Mathematics (2 citations) and Statistical and Nonlinear Physics (16 citations). Vicky Choi has collaborated with scholars based in United States, Canada and France. Frequent co-authors include M. H. S. Amin, Mordecai J. Golin, P. Bunyk, Geordie Rose, R. Harris, Martı́n Farach-Colton, A. J. Berkley, Seth Lloyd, Jonas Johansson and David Sankoff. Their work appears in journals such as Algorithmica, Physical Review A, Gene, Journal of Bioinformatics and Computational Biology and Physical Review B.
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.