Isaac L. Chuang
- Artificial Intelligence top 0.01%
- Atomic and Molecular Physics, and Optics top 0.01%
- Computational Theory and Mathematics top 0.05%
- Electrical and Electronic Engineering top 1%
- Statistical and Nonlinear Physics top 0.1%
- Co-authors
- Michael A. NielsenLov K. GroverNeil GershenfeldLieven M. K. VandersypenDaniel GottesmanK. Birgitta WhaleyDaniel A. LidarDebbie Leung
- Topics
- Quantum Information and Cryptography (136 papers)Quantum Computing Algorithms and Architecture (112 papers)Quantum Mechanics and Applications (42 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- United StatesJapanCanada
In The Last Decade
Isaac L. Chuang
205 papers receiving 33.4k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Artificial Intelligence 27.4k
- Atomic and Molecular Physics, and Optics 23.8k
- Computational Theory and Mathematics 4.2k
- Electrical and Electronic Engineering 2.9k
- Statistical and Nonlinear Physics 2.4k
Countries citing papers authored by Isaac L. Chuang
This map shows the geographic impact of Isaac L. Chuang'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 Isaac L. Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isaac L. Chuang more than expected).
Fields of papers citing papers by Isaac L. Chuang
This network shows the impact of papers produced by Isaac L. Chuang. 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 Isaac L. Chuang. The network helps show where Isaac L. Chuang may publish in the future.
Co-authorship network of co-authors of Isaac L. Chuang
This figure shows the co-authorship network connecting the top 25 collaborators of Isaac L. Chuang. A scholar is included among the top collaborators of Isaac L. Chuang 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 Isaac L. Chuang. Isaac L. Chuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 21 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 21 | |
| 16 | 46 | |
| 17 | Quantum simulation of molecular vibronic spectra on a superconducting bosonic processor | 2 |
| 18 | Who does what in a massive open online course | 3 |
| 19 | Tensor product representation of a topological ordered phase: Necessary symmetry conditions | 6 |
| 20 | Arbitrarily accurate composite pulse sequences (4 pages) | 3 |
About Isaac L. Chuang
Isaac L. Chuang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Science Applications, having authored 213 papers that have together received 35.0k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (136 papers), Quantum Computing Algorithms and Architecture (112 papers) and Quantum Mechanics and Applications (42 papers). The work is most often cited by research in Artificial Intelligence (27.4k citations), Atomic and Molecular Physics, and Optics (23.8k citations) and Computational Theory and Mathematics (4.2k citations). Isaac L. Chuang has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Michael A. Nielsen, Lov K. Grover, Neil Gershenfeld, Lieven M. K. Vandersypen, Daniel Gottesman, K. Birgitta Whaley, Daniel A. Lidar, Debbie Leung, Y. Yamamoto and Guang Hao Low. 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.