Vojtěch Havlíček
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Materials Chemistry
- Co-authors
- Kristan TemmeAbhinav KandalaJay GambettaJerry M. ChowAntonio CórcolesAram W. HarrowMatthias TroyerJames Whitfield
- Topics
- Quantum Computing Algorithms and Architecture (8 papers)Quantum Information and Cryptography (6 papers)Quantum-Dot Cellular Automata (3 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsAtomic and Molecular Physics, and Optics
- Partner nations
- CzechiaUnited KingdomUnited States
In The Last Decade
Vojtěch Havlíček
13 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 1.2k
- Atomic and Molecular Physics, and Optics 403
- Computational Theory and Mathematics 240
- Electrical and Electronic Engineering 143
- Materials Chemistry 79
Countries citing papers authored by Vojtěch Havlíček
This map shows the geographic impact of Vojtěch Havlíček'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 Vojtěch Havlíček with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vojtěch Havlíček more than expected).
Fields of papers citing papers by Vojtěch Havlíček
This network shows the impact of papers produced by Vojtěch Havlíček. 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 Vojtěch Havlíček. The network helps show where Vojtěch Havlíček may publish in the future.
Co-authorship network of co-authors of Vojtěch Havlíček
This figure shows the co-authorship network connecting the top 25 collaborators of Vojtěch Havlíček. A scholar is included among the top collaborators of Vojtěch Havlíček 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 Vojtěch Havlíček. Vojtěch Havlíček 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 | 6 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | Supervised learning with quantum-enhanced feature spacesbreakdown → | 1224 |
| 7 | 4 | |
| 8 | Quantum Schur Sampling is Classically Tractable | 1 |
| 9 | 10 | |
| 10 | 0 | |
| 11 | 56 | |
| 12 | 44 | |
| 13 | 0 | |
| 14 | Potts Compound Markovian Texture Model | 2 |
| 15 | Probabilistic mixture-based image modelling. | 0 |
| 16 | 3 | |
| 17 | 9 |
About Vojtěch Havlíček
Vojtěch Havlíček is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence and Statistics and Probability, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (6 papers) and Quantum-Dot Cellular Automata (3 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computational Theory and Mathematics (240 citations) and Atomic and Molecular Physics, and Optics (403 citations). Vojtěch Havlíček has collaborated with scholars based in Czechia, United Kingdom and United States. Frequent co-authors include Kristan Temme, Abhinav Kandala, Jay Gambetta, Jerry M. Chow, Antonio Córcoles, Aram W. Harrow, Matthias Troyer, James Whitfield, Sergii Strelchuk and Michal Haindl. Their work appears in journals such as Nature, Physical Review Letters and Physical review. A.
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.