Alex Bocharov
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Co-authors
- Krysta M. SvoreNathan WiebeMaria SchuldMartin RoettelerJaime TeevanEric HorvitzKira RadinskySusan Dumais
- Topics
- Quantum Computing Algorithms and Architecture (13 papers)Quantum Information and Cryptography (9 papers)Low-power high-performance VLSI design (3 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsAtomic and Molecular Physics, and Optics
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Alex Bocharov
14 papers receiving 919 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 815
- Atomic and Molecular Physics, and Optics 241
- Computational Theory and Mathematics 209
- Electrical and Electronic Engineering 129
- Information Systems 79
Countries citing papers authored by Alex Bocharov
This map shows the geographic impact of Alex Bocharov'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 Alex Bocharov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Bocharov more than expected).
Fields of papers citing papers by Alex Bocharov
This network shows the impact of papers produced by Alex Bocharov. 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 Alex Bocharov. The network helps show where Alex Bocharov may publish in the future.
Co-authorship network of co-authors of Alex Bocharov
This figure shows the co-authorship network connecting the top 25 collaborators of Alex Bocharov. A scholar is included among the top collaborators of Alex Bocharov 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 Alex Bocharov. Alex Bocharov 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 | Circuit-centric quantum classifiersbreakdown → | 532 |
| 3 | 64 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 81 | |
| 8 | 39 | |
| 9 | 9 | |
| 10 | 37 | |
| 11 | 31 | |
| 12 | 35 | |
| 13 | 36 | |
| 14 | A Resource-Optimal Canonical Form for Single-qubit Quantum Circuits | 2 |
| 15 | 85 |
About Alex Bocharov
Alex Bocharov is a scholar working on Computational Mathematics, Artificial Intelligence and Computational Theory and Mathematics, having authored 15 papers that have together received 964 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (9 papers) and Low-power high-performance VLSI design (3 papers). The work is most often cited by research in Artificial Intelligence (815 citations), Computational Theory and Mathematics (209 citations) and Atomic and Molecular Physics, and Optics (241 citations). Alex Bocharov has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Krysta M. Svore, Nathan Wiebe, Maria Schuld, Martin Roetteler, Jaime Teevan, Eric Horvitz, Kira Radinsky, Susan Dumais, Vadym Kliuchnikov and Yuri Gurevich. Their work appears in journals such as Physical Review Letters, Physical Review A and Journal of Mathematical 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.