Alexei Kitaev
- Atomic and Molecular Physics, and Optics top 0.05%
- Artificial Intelligence top 0.05%
- Condensed Matter Physics top 0.05%
- Statistical and Nonlinear Physics top 0.2%
- Materials Chemistry top 5%
- Co-authors
- John PreskillSergey BravyiJosé I. LatorreE. RicoGuifré VidalLukasz FidkowskiDaniel GottesmanZhenghan Wang
- Topics
- Quantum Computing Algorithms and Architecture (18 papers)Quantum and electron transport phenomena (15 papers)Quantum Information and Cryptography (15 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Alexei Kitaev
47 papers receiving 18.0k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Atomic and Molecular Physics, and Optics 14.5k
- Artificial Intelligence 7.0k
- Condensed Matter Physics 6.7k
- Statistical and Nonlinear Physics 1.5k
- Materials Chemistry 1.2k
Countries citing papers authored by Alexei Kitaev
This map shows the geographic impact of Alexei Kitaev'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 Alexei Kitaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexei Kitaev more than expected).
Fields of papers citing papers by Alexei Kitaev
This network shows the impact of papers produced by Alexei Kitaev. 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 Alexei Kitaev. The network helps show where Alexei Kitaev may publish in the future.
Co-authorship network of co-authors of Alexei Kitaev
This figure shows the co-authorship network connecting the top 25 collaborators of Alexei Kitaev. A scholar is included among the top collaborators of Alexei Kitaev 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 Alexei Kitaev. Alexei Kitaev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 14 | |
| 3 | 72 | |
| 4 | 2 Models for gapped boundaries and domain wallsbreakdown → | 235 |
| 5 | 79 | |
| 6 | 35 | |
| 7 | 132 | |
| 8 | 7 | |
| 9 | Shot Noise in Anyonic Mach-Zehnder Interferometer | 2 |
| 10 | 57 | |
| 11 | 250 | |
| 12 | Topological Entanglement Entropybreakdown → | 1555 |
| 13 | 152 | |
| 14 | 65 | |
| 15 | Universal quantum computation with ideal Clifford gates and noisy ancillas (14 pages) | 38 |
| 16 | Entanglement in Quantum Critical Phenomenabreakdown → | 1954 |
| 17 | 8 | |
| 18 | 409 | |
| 19 | 206 | |
| 20 | 70 |
About Alexei Kitaev
Alexei Kitaev is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Geometry and Topology, having authored 47 papers that have together received 18.4k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (18 papers), Quantum and electron transport phenomena (15 papers) and Quantum Information and Cryptography (15 papers). The work is most often cited by research in Condensed Matter Physics (6.7k citations), Atomic and Molecular Physics, and Optics (14.5k citations) and Artificial Intelligence (7.0k citations). Alexei Kitaev has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include John Preskill, Sergey Bravyi, José I. Latorre, E. Rico, Guifré Vidal, Lukasz Fidkowski, Daniel Gottesman, Zhenghan Wang, Michael Freedman and Dorit Aharonov. Their work appears in journals such as Physical Review Letters, Physical Review B and Nature 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.