Václav Potoček
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 5%
- Co-authors
- A. GábrisIgor JexChristine SilberhornAndreas SchreiberK. N. CassemiroPeter J. MosleyErika AnderssonM. Štefaňák
- Topics
- Quantum Information and Cryptography (10 papers)Quantum Computing Algorithms and Architecture (8 papers)Neural Networks and Reservoir Computing (6 papers)
- Partner nations
- CzechiaUnited KingdomGermany
In The Last Decade
Václav Potoček
23 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 1.0k
- Atomic and Molecular Physics, and Optics 774
- Computational Theory and Mathematics 276
- Electrical and Electronic Engineering 129
- Statistical and Nonlinear Physics 120
Countries citing papers authored by Václav Potoček
This map shows the geographic impact of Václav Potoček'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 Václav Potoček with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Václav Potoček more than expected).
Fields of papers citing papers by Václav Potoček
This network shows the impact of papers produced by Václav Potoček. 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 Václav Potoček. The network helps show where Václav Potoček may publish in the future.
Co-authorship network of co-authors of Václav Potoček
This figure shows the co-authorship network connecting the top 25 collaborators of Václav Potoček. A scholar is included among the top collaborators of Václav Potoček 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 Václav Potoček. Václav Potoček is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | A photonic quantum walk with a four-dimensional coin | 1 |
| 3 | 10 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 32 | |
| 7 | 24 | |
| 8 | 110 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 27 | |
| 12 | 264 | |
| 13 | 1 | |
| 14 | Photons Walking the Line: A Quantum Walk with Adjustable Coin Operationsbreakdown → | 405 |
| 15 | Photons Walking the Line | 6 |
| 16 | 6 | |
| 17 | 24 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 2 |
About Václav Potoček
Václav Potoček is a scholar working on Radiation, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Quantum Computing Algorithms and Architecture (8 papers) and Neural Networks and Reservoir Computing (6 papers). The work is most often cited by research in Acoustics and Ultrasonics (46 citations), Artificial Intelligence (1.0k citations) and Atomic and Molecular Physics, and Optics (774 citations). Václav Potoček has collaborated with scholars based in Czechia, United Kingdom and Germany. Frequent co-authors include A. Gábris, Igor Jex, Christine Silberhorn, Andreas Schreiber, K. N. Cassemiro, Peter J. Mosley, Erika Andersson, M. Štefaňák, Kaisa Laiho and Craig S. Hamilton. Their work appears in journals such as Science, 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.