Michał Oszmaniec
- Artificial Intelligence top 5%
- Quantum Information and Cryptography 22
- Quantum Computing Algorithms and Architecture 19
- Neural Networks and Reservoir Computing 3
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- Quantum Mechanics and Applications 13
- Quantum and electron transport phenomena 3
- Quantum many-body systems 3
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- Low-power high-performance VLSI design 2
- Optical Network Technologies 2
- Co-authors
- Marek KuśAntonio AcínLeonardo GueriniPéter WittekZoltán ZimborásDaniel J. BrodMichał HorodeckiZbigniew Puchała
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
In The Last Decade
Michał Oszmaniec
25 papers receiving 378 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 329
- Atomic and Molecular Physics, and Optics 295
- Statistical and Nonlinear Physics 31
- Computational Mathematics 1
- History and Philosophy of Science 5
Countries citing papers authored by Michał Oszmaniec
This map shows the geographic impact of Michał Oszmaniec'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 Michał Oszmaniec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Oszmaniec more than expected).
Fields of papers citing papers by Michał Oszmaniec
This network shows the impact of papers produced by Michał Oszmaniec. 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 Michał Oszmaniec. The network helps show where Michał Oszmaniec may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michał Oszmaniec, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 26 | |
| 12 | 2019 | 24 | |
| 13 | 2017 | 20 | |
| 14 | 2017 | 86 | |
| 15 | 2017 | 12 | |
| 16 | 2016 | 41 | |
| 17 | 2014 | 11 | |
| 18 | 2014 | 18 | |
| 19 | 2013 | 18 | |
| 20 | 2012 | 22 |
About Michał Oszmaniec
Michał Oszmaniec is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistics and Probability, having authored 25 papers that have together received 385 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (22 papers), Quantum Computing Algorithms and Architecture (19 papers), Quantum Mechanics and Applications (13 papers), Neural Networks and Reservoir Computing (3 papers), Quantum and electron transport phenomena (3 papers), Quantum many-body systems (3 papers), Low-power high-performance VLSI design (2 papers) and Optical Network Technologies (2 papers). The work is most often cited by research in Artificial Intelligence (329 citations), Atomic and Molecular Physics, and Optics (295 citations) and Statistical and Nonlinear Physics (31 citations). Michał Oszmaniec has collaborated with scholars based in Poland, Spain and Hungary. Frequent co-authors include Marek Kuś, Antonio Acín, Leonardo Guerini, Péter Wittek, Zoltán Zimborás, Daniel J. Brod, Michał Horodecki, Zbigniew Puchała, Andrzej Grudka and Antoni Wójcik. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Information Theory 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.