Martin Plesch
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
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- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
- Quantum many-body systems
Papers in
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- Quantum Information and Cryptography 25
- Quantum Computing Algorithms and Architecture 20
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- Quantum Mechanics and Applications 19
- Co-authors
- Časlav Brukner (1 shared paper)Vladimír Bužek (8 shared papers)Matej Pivoluska (15 shared papers)Jan Bouda (4 shared papers)Marcus Huber (1 shared paper)Michal Sedlák (1 shared paper)Marcin Pawłowski (4 shared papers)Mário Ziman (5 shared papers)
In The Last Decade
Martin Plesch
33 papers receiving 465 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 433
- Atomic and Molecular Physics, and Optics 291
- Computational Theory and Mathematics 92
- Computational Mathematics 2
- Statistical and Nonlinear Physics 33
Countries citing papers authored by Martin Plesch
This map shows the geographic impact of Martin Plesch'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 Martin Plesch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Plesch more than expected).
Fields of papers citing papers by Martin Plesch
This network shows the impact of papers produced by Martin Plesch. 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 Martin Plesch. The network helps show where Martin Plesch may publish in the future.
Co-authors
The 20 scholars most cited alongside Martin Plesch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 199 | |
| 2 | 2012 | 40 | |
| 3 | 2003 | 38 | |
| 4 | 2010 | 30 | |
| 5 | 2014 | 18 | |
| 6 | 2022 | 17 | |
| 7 | 2011 | 17 | |
| 8 | 2014 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2008 | 11 | |
| 12 | 2005 | 11 | |
| 13 | 2003 | 11 | |
| 14 | 2022 | 8 | |
| 15 | 2014 | 8 | |
| 16 | Device Independent Random Number Generation | 2014 | 4 |
| 17 | 2004 | 4 | |
| 18 | 2005 | 4 | |
| 19 | 2006 | 3 | |
| 20 | 2014 | 3 |
About Martin Plesch
Martin Plesch is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Control and Systems Engineering, having authored 34 papers that have together received 481 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (25 papers), Quantum Computing Algorithms and Architecture (20 papers), Quantum Mechanics and Applications (19 papers), Quantum-Dot Cellular Automata (4 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Statistical Mechanics and Entropy (2 papers), Experimental and Theoretical Physics Studies (2 papers) and Fish biology, ecology, and behavior (1 paper). The work is most often cited by research in Artificial Intelligence (433 citations), Atomic and Molecular Physics, and Optics (291 citations), Computational Theory and Mathematics (92 citations), Computational Mathematics (2 citations) and Statistical and Nonlinear Physics (33 citations). Martin Plesch has collaborated with scholars based in Slovakia, Czechia and Austria. Frequent co-authors include Časlav Brukner, Vladimír Bužek, Matej Pivoluska, Jan Bouda, Marcus Huber, Michal Sedlák, Marcin Pawłowski, Mário Ziman, Oscar Dahlsten and Manik Banik. Their work appears in journals such as Physical Review A, Physical review. A, Scientific Reports, Open Systems & Information Dynamics and The European Physical Journal D.
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.