Kamil Korzekwa
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- Advanced Thermodynamics and Statistical Mechanics 17
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- Quantum Mechanics and Applications 13
- Quantum and electron transport phenomena 6
- Semiconductor Quantum Structures and Devices 4
- Spectroscopy and Quantum Chemical Studies 3
- Artificial Intelligence top 2%
- Quantum Information and Cryptography 22
- Quantum Computing Algorithms and Architecture 10
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- Neural dynamics and brain function 2
- Co-authors
- Matteo LostaglioDavid JenningsTerry RudolphJonathan OppenheimMarco TomamichelChristopher T. ChubbPaweł MachnikowskiPaweł Horodecki
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Journals
- Physical Review Letters (2 papers)Physical Review B (2 papers)IEEE Transactions on Information Theory (1 paper)
- Partner nations
- PolandAustraliaUnited Kingdom
In The Last Decade
Kamil Korzekwa
29 papers receiving 871 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Statistical and Nonlinear Physics 474
- Atomic and Molecular Physics, and Optics 727
- Artificial Intelligence 690
- Computational Mathematics 2
- Condensed Matter Physics 18
Countries citing papers authored by Kamil Korzekwa
This map shows the geographic impact of Kamil Korzekwa'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 Kamil Korzekwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamil Korzekwa more than expected).
Fields of papers citing papers by Kamil Korzekwa
This network shows the impact of papers produced by Kamil Korzekwa. 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 Kamil Korzekwa. The network helps show where Kamil Korzekwa may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Kamil Korzekwa, 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 | 2024 | 2 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 3 | |
| 13 | 2019 | 16 | |
| 14 | 2019 | 8 | |
| 15 | 2017 | 26 | |
| 16 | 2017 | 12 | |
| 17 | 2016 | 202 | |
| 18 | 2013 | 3 | |
| 19 | 2012 | 1 | |
| 20 | 2011 | 1 |
About Kamil Korzekwa
Kamil Korzekwa is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 29 papers that have together received 885 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (22 papers), Advanced Thermodynamics and Statistical Mechanics (17 papers), Quantum Mechanics and Applications (13 papers), Quantum Computing Algorithms and Architecture (10 papers), Quantum and electron transport phenomena (6 papers), Semiconductor Quantum Structures and Devices (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (474 citations), Atomic and Molecular Physics, and Optics (727 citations) and Artificial Intelligence (690 citations). Kamil Korzekwa has collaborated with scholars based in Poland, Australia and United Kingdom. Frequent co-authors include Matteo Lostaglio, David Jennings, Terry Rudolph, Jonathan Oppenheim, Marco Tomamichel, Christopher T. Chubb, Paweł Machnikowski, Paweł Horodecki, Karol Życzkowski and Hakop Pashayan. Their work appears in journals such as Physical Review Letters, Physical Review B and IEEE Transactions on Information Theory.
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.