Jan Bouda
Impact in
- Artificial Intelligence top 10%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Cryptography and Data Security
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- Quantum Mechanics and Applications
- Quantum optics and atomic interactions
Papers in
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- Quantum Computing Algorithms and Architecture 13
- Quantum Information and Cryptography 10
- Cryptography and Data Security 2
- Internet Traffic Analysis and Secure E-voting 2
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- Quantum Mechanics and Applications 7
- Co-authors
- Vladimír Bužek (3 shared papers)Martin Plesch (4 shared papers)Matej Pivoluska (4 shared papers)Nikola Paunković (2 shared papers)Paulo Mateus (2 shared papers)Marcin Pawłowski (2 shared papers)Vashek Matyáš (1 shared paper)Petr Švenda (1 shared paper)
In The Last Decade
Jan Bouda
13 papers receiving 156 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 137
- Atomic and Molecular Physics, and Optics 110
- Computer Vision and Pattern Recognition 39
- Computational Theory and Mathematics 21
- Hardware and Architecture 6
Countries citing papers authored by Jan Bouda
This map shows the geographic impact of Jan Bouda'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 Jan Bouda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Bouda more than expected).
Fields of papers citing papers by Jan Bouda
This network shows the impact of papers produced by Jan Bouda. 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 Jan Bouda. The network helps show where Jan Bouda may publish in the future.
Co-authors
The 16 scholars most cited alongside Jan Bouda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 41 | |
| 2 | 2001 | 26 | |
| 3 | 2007 | 19 | |
| 4 | 2014 | 18 | |
| 5 | 2009 | 14 | |
| 6 | 2002 | 13 | |
| 7 | 2011 | 10 | |
| 8 | 2008 | 6 | |
| 9 | 2009 | 4 | |
| 10 | 2014 | 3 | |
| 11 | 2011 | 2 | |
| 12 | 2012 | 2 | |
| 13 | Encryption and authentication in SECOQC | 2006 | 1 |
| 14 | 2024 | 0 | |
| 15 | New directions in quantum cryptography | 2008 | 0 |
| 16 | MEMICS 2016. 11th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science | 2016 | 0 |
| 17 | 2003 | 0 |
About Jan Bouda
Jan Bouda is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 17 papers that have together received 159 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (10 papers), Quantum Mechanics and Applications (7 papers), Chaos-based Image/Signal Encryption (3 papers), Cryptography and Data Security (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Wireless Communication Security Techniques (1 paper) and Statistical Mechanics and Entropy (1 paper). The work is most often cited by research in Artificial Intelligence (137 citations), Atomic and Molecular Physics, and Optics (110 citations), Computer Vision and Pattern Recognition (39 citations), Computational Theory and Mathematics (21 citations) and Hardware and Architecture (6 citations). Jan Bouda has collaborated with scholars based in Czechia, Slovakia and Poland. Frequent co-authors include Vladimír Bužek, Martin Plesch, Matej Pivoluska, Nikola Paunković, Paulo Mateus, Marcin Pawłowski, Vashek Matyáš, Petr Švenda, Mátyás Koniorczyk and Daniel Reitzner. Their work appears in journals such as Physical Review A, Theoretical Computer Science, Journal of Modern Optics, The European Physical Journal D and Quantum Information Processing.
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.