George Svetlichny
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 2%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics
- Mathematical Physics
- Co-authors
- Michael SeevinckHarvey R. BrownGerald A. GoldinMichael RedheadJeremy ButterfieldDoron CohenPiotr KielanowskiTheodore Voronov
- Topics
- Quantum Mechanics and Applications (16 papers)Quantum Information and Cryptography (8 papers)Quantum Computing Algorithms and Architecture (6 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Journals
- Physical Review LettersCommunications in Mathematical PhysicsJournal of Differential Equations
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
George Svetlichny
23 papers receiving 666 citations
Peers
Comparison fields: 5 of 36
- Atomic and Molecular Physics, and Optics 639
- Artificial Intelligence 581
- Statistical and Nonlinear Physics 94
- Computational Theory and Mathematics 30
- Mathematical Physics 23
Countries citing papers authored by George Svetlichny
This map shows the geographic impact of George Svetlichny'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 George Svetlichny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Svetlichny more than expected).
Fields of papers citing papers by George Svetlichny
This network shows the impact of papers produced by George Svetlichny. 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 George Svetlichny. The network helps show where George Svetlichny may publish in the future.
Co-authorship network of co-authors of George Svetlichny
This figure shows the co-authorship network connecting the top 25 collaborators of George Svetlichny. A scholar is included among the top collaborators of George Svetlichny 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 George Svetlichny. George Svetlichny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 26 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 150 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 47 | |
| 13 | 13 | |
| 14 | 2 | |
| 15 | 375 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 6 |
About George Svetlichny
George Svetlichny is a scholar working on History and Philosophy of Science, Atomic and Molecular Physics, and Optics and Mathematical Physics, having authored 24 papers that have together received 683 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (16 papers), Quantum Information and Cryptography (8 papers) and Quantum Computing Algorithms and Architecture (6 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (639 citations), Artificial Intelligence (581 citations) and Statistical and Nonlinear Physics (94 citations). George Svetlichny has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Michael Seevinck, Harvey R. Brown, Gerald A. Goldin, Michael Redhead, Jeremy Butterfield, Doron Cohen, Piotr Kielanowski, Theodore Voronov and Anatol Odzijewicz. Their work appears in journals such as Physical Review Letters, Communications in Mathematical Physics and Journal of Differential Equations.
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.