Norman Y. Yao
- Atomic and Molecular Physics, and Optics top 0.1%
- Materials Chemistry top 2%
- Artificial Intelligence top 0.5%
- Statistical and Nonlinear Physics top 0.2%
- Condensed Matter Physics top 1%
- Co-authors
- Mikhail D. LukinGeorg KucskoPeter C. MaurerAndrew C. PotterM. K. KuboH.‐J. NohHongkun ParkPik Kwan Lo
- Topics
- Quantum many-body systems (62 papers)Quantum and electron transport phenomena (38 papers)Cold Atom Physics and Bose-Einstein Condensates (29 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsStatistical and Nonlinear PhysicsCondensed Matter Physics
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Norman Y. Yao
131 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Atomic and Molecular Physics, and Optics 7.1k
- Materials Chemistry 2.5k
- Artificial Intelligence 2.3k
- Statistical and Nonlinear Physics 1.7k
- Condensed Matter Physics 1.3k
Countries citing papers authored by Norman Y. Yao
This map shows the geographic impact of Norman Y. Yao'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 Norman Y. Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norman Y. Yao more than expected).
Fields of papers citing papers by Norman Y. Yao
This network shows the impact of papers produced by Norman Y. Yao. 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 Norman Y. Yao. The network helps show where Norman Y. Yao may publish in the future.
Co-authorship network of co-authors of Norman Y. Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Norman Y. Yao. A scholar is included among the top collaborators of Norman Y. Yao 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 Norman Y. Yao. Norman Y. Yao 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 | 4 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 15 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 16 | |
| 13 | 12 | |
| 14 | 12 | |
| 15 | Quantum gas microscopy of Kardar-Parisi-Zhang superdiffusionbreakdown → | 134 |
| 16 | 25 | |
| 17 | 20 | |
| 18 | 4 | |
| 19 | 16 | |
| 20 | An improved Lieb-Robinson bound for many-body Hamiltonians with power-law interactions | 1 |
About Norman Y. Yao
Norman Y. Yao is a scholar working on Computational Mathematics, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 136 papers that have together received 9.4k indexed citations. Recurring topics across this work include Quantum many-body systems (62 papers), Quantum and electron transport phenomena (38 papers) and Cold Atom Physics and Bose-Einstein Condensates (29 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (7.1k citations), Statistical and Nonlinear Physics (1.7k citations) and Condensed Matter Physics (1.3k citations). Norman Y. Yao has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Mikhail D. Lukin, Georg Kucsko, Peter C. Maurer, Andrew C. Potter, M. K. Kubo, H.‐J. Noh, Hongkun Park, Pik Kwan Lo, Ashvin Vishwanath and Ionut-Dragos Potirniche. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.