M. Štefaňák
Impact in
- Artificial Intelligence top 2%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
-
- Quantum-Dot Cellular Automata
Papers in
-
- Quantum Computing Algorithms and Architecture 29
- Quantum Information and Cryptography 24
- Neural Networks and Reservoir Computing 3
-
- Quantum-Dot Cellular Automata 22
- Co-authors
- Igor Jex (21 shared papers)T. Kiss (11 shared papers)Christine Silberhorn (5 shared papers)Andreas Schreiber (4 shared papers)Peter P. Rohde (4 shared papers)Václav Potoček (3 shared papers)A. Gábris (3 shared papers)Kaisa Laiho (2 shared papers)
In The Last Decade
M. Štefaňák
32 papers receiving 797 citations
M. Štefaňák's Hit Papers
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 736
- Computational Theory and Mathematics 342
- Atomic and Molecular Physics, and Optics 381
- Acoustics and Ultrasonics 10
- Statistical and Nonlinear Physics 40
Countries citing papers authored by M. Štefaňák
This map shows the geographic impact of M. Štefaňák'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 M. Štefaňák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Štefaňák more than expected).
Fields of papers citing papers by M. Štefaňák
This network shows the impact of papers produced by M. Štefaňák. 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 M. Štefaňák. The network helps show where M. Štefaňák may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Štefaňák, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A 2D Quantum Walk Simulation of Two-Particle Dynamics Hit paper breakdown → | 2012 | 296 |
| 2 | 2008 | 79 | |
| 3 | 2008 | 57 | |
| 4 | 2011 | 51 | |
| 5 | 2017 | 36 | |
| 6 | 2016 | 36 | |
| 7 | 2018 | 31 | |
| 8 | 2009 | 27 | |
| 9 | 2011 | 25 | |
| 10 | 2012 | 24 | |
| 11 | 2014 | 21 | |
| 12 | 2007 | 18 | |
| 13 | 2010 | 18 | |
| 14 | 2010 | 16 | |
| 15 | 2006 | 13 | |
| 16 | 2013 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2008 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2014 | 7 |
About M. Štefaňák
M. Štefaňák is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Applied Mathematics and Molecular Biology, having authored 33 papers that have together received 820 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (29 papers), Quantum Information and Cryptography (24 papers), Quantum-Dot Cellular Automata (22 papers), Quantum and electron transport phenomena (8 papers), Neural Networks and Reservoir Computing (3 papers), Cloud Computing and Resource Management (1 paper), Analytic Number Theory Research (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Artificial Intelligence (736 citations), Computational Theory and Mathematics (342 citations), Atomic and Molecular Physics, and Optics (381 citations), Acoustics and Ultrasonics (10 citations) and Statistical and Nonlinear Physics (40 citations). M. Štefaňák has collaborated with scholars based in Czechia, Hungary and Germany. Frequent co-authors include Igor Jex, T. Kiss, Christine Silberhorn, Andreas Schreiber, Peter P. Rohde, Václav Potoček, A. Gábris, Kaisa Laiho, Craig S. Hamilton and Stephen M. Barnett. Their work appears in journals such as Physical review. A, Physical Review A, New Journal of Physics, Journal of Physics A Mathematical and Theoretical 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.