Kyungjoo Noh
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Liang JiangChristopher ChamberlandVictor V. AlbertS. M. GirvinBill FeffermanFernando G. S. L. BrandãoChao ShenPhilip Reinhold
- Topics
- Quantum Information and Cryptography (18 papers)Quantum Computing Algorithms and Architecture (18 papers)Quantum and electron transport phenomena (12 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- United StatesSouth KoreaDenmark
In The Last Decade
Kyungjoo Noh
20 papers receiving 969 citations
Hit Papers
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 925
- Atomic and Molecular Physics, and Optics 685
- Electrical and Electronic Engineering 105
- Computational Theory and Mathematics 92
- Statistical and Nonlinear Physics 45
Countries citing papers authored by Kyungjoo Noh
This map shows the geographic impact of Kyungjoo Noh'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 Kyungjoo Noh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyungjoo Noh more than expected).
Fields of papers citing papers by Kyungjoo Noh
This network shows the impact of papers produced by Kyungjoo Noh. 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 Kyungjoo Noh. The network helps show where Kyungjoo Noh may publish in the future.
Co-authorship network of co-authors of Kyungjoo Noh
This figure shows the co-authorship network connecting the top 25 collaborators of Kyungjoo Noh. A scholar is included among the top collaborators of Kyungjoo Noh 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 Kyungjoo Noh. Kyungjoo Noh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 46 | |
| 7 | Building a Fault-Tolerant Quantum Computer Using Concatenated Cat Codesbreakdown → | 172 |
| 8 | 23 | |
| 9 | 8 | |
| 10 | 31 | |
| 11 | 71 | |
| 12 | 61 | |
| 13 | 103 | |
| 14 | 3 | |
| 15 | 102 | |
| 16 | 190 | |
| 17 | 26 | |
| 18 | Performance and structure of bosonic codes | 2 |
| 19 | 45 | |
| 20 | 2 |
About Kyungjoo Noh
Kyungjoo Noh is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 21 papers that have together received 995 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (18 papers) and Quantum and electron transport phenomena (12 papers). The work is most often cited by research in Artificial Intelligence (925 citations), Atomic and Molecular Physics, and Optics (685 citations) and Computational Theory and Mathematics (92 citations). Kyungjoo Noh has collaborated with scholars based in United States, South Korea and Denmark. Frequent co-authors include Liang Jiang, Christopher Chamberland, Victor V. Albert, S. M. Girvin, Bill Fefferman, Fernando G. S. L. Brandão, Chao Shen, Philip Reinhold, Linshu Li and Dylan J. Young. Their work appears in journals such as Physical Review Letters, Physical Review B and IEEE Transactions on Information Theory.
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.