Piotr Gawron
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics
- Mathematical Physics
- Co-authors
- Jarosław Adam MiszczakZbigniew PuchałaKarol ŻyczkowskiŁukasz PawelaStanisław LewińskiCharles F. DunklJohn HolbrookMan-Duen Choi
- Topics
- Quantum Computing Algorithms and Architecture (15 papers)Quantum Information and Cryptography (15 papers)Quantum Mechanics and Applications (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Development Economics
- Partner nations
- PolandUnited StatesFrance
In The Last Decade
Piotr Gawron
28 papers receiving 247 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 157
- Atomic and Molecular Physics, and Optics 109
- Computational Theory and Mathematics 46
- Statistical and Nonlinear Physics 29
- Mathematical Physics 16
Countries citing papers authored by Piotr Gawron
This map shows the geographic impact of Piotr Gawron'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 Piotr Gawron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Gawron more than expected).
Fields of papers citing papers by Piotr Gawron
This network shows the impact of papers produced by Piotr Gawron. 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 Piotr Gawron. The network helps show where Piotr Gawron may publish in the future.
Co-authorship network of co-authors of Piotr Gawron
This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Gawron. A scholar is included among the top collaborators of Piotr Gawron based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Piotr Gawron. Piotr Gawron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | Wybory samorządowe 2014. W poszukiwaniu anomalii statystycznych | 2 |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 19 | |
| 14 | 9 | |
| 15 | 19 | |
| 16 | 24 | |
| 17 | Local numerical range: a versatile tool in the theory of quantum information | 3 |
| 18 | 5 | |
| 19 | Kwantowa dystrybucja kluczy w sieciach optycznych | 0 |
| 20 | Symulacja komputerów kwantowych | 0 |
About Piotr Gawron
Piotr Gawron is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Artificial Intelligence, having authored 33 papers that have together received 258 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (15 papers) and Quantum Mechanics and Applications (11 papers). The work is most often cited by research in Artificial Intelligence (157 citations), Atomic and Molecular Physics, and Optics (109 citations) and Computational Mathematics (2 citations). Piotr Gawron has collaborated with scholars based in Poland, United States and France. Frequent co-authors include Jarosław Adam Miszczak, Zbigniew Puchała, Karol Życzkowski, Łukasz Pawela, Stanisław Lewiński, Charles F. Dunkl, John Holbrook, Man-Duen Choi, Jerzy Klamka and Alex Eble. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Development Economics.
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.