D. Petz
Impact in
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- Statistical Mechanics and Entropy
- Advanced Thermodynamics and Statistical Mechanics
- Applied Mathematics top 5%
- Mathematical Inequalities and Applications
Papers in
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- Statistical Mechanics and Entropy 8
- Advanced Thermodynamics and Statistical Mechanics 5
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- Advanced Operator Algebra Research 7
- Spectral Theory in Mathematical Physics 6
- Co-authors
- Hiroshi Hasegawa (1 shared paper)Gábor Tóth (1 shared paper)Michael A. Nielsen (1 shared paper)Fumio Hiai (4 shared papers)A. Verbeure (1 shared paper)G. A. Raggio (1 shared paper)Katalin M. Hangos (3 shared papers)Viktor Szabó (1 shared paper)
In The Last Decade
D. Petz
22 papers receiving 470 citations
Peers
Comparison fields: 5 of 36
- Statistical and Nonlinear Physics 187
- Applied Mathematics 94
- Atomic and Molecular Physics, and Optics 279
- Mathematical Physics 80
- Artificial Intelligence 257
Countries citing papers authored by D. Petz
This map shows the geographic impact of D. Petz'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 D. Petz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Petz more than expected).
Fields of papers citing papers by D. Petz
This network shows the impact of papers produced by D. Petz. 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 D. Petz. The network helps show where D. Petz may publish in the future.
Co-authors
The 12 scholars most cited alongside D. Petz, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 173 | |
| 2 | 1996 | 53 | |
| 3 | 1993 | 51 | |
| 4 | 2005 | 41 | |
| 5 | 1988 | 36 | |
| 6 | 1989 | 28 | |
| 7 | 2009 | 18 | |
| 8 | 1986 | 14 | |
| 9 | 2007 | 12 | |
| 10 | 1994 | 10 | |
| 11 | 2006 | 7 | |
| 12 | 1999 | 7 | |
| 13 | 1986 | 7 | |
| 14 | 2012 | 6 | |
| 15 | 1992 | 6 | |
| 16 | 2009 | 6 | |
| 17 | 1998 | 5 | |
| 18 | 2010 | 4 | |
| 19 | 2007 | 3 | |
| 20 | 1992 | 2 |
About D. Petz
D. Petz is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Computational Theory and Mathematics, having authored 23 papers that have together received 491 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (8 papers), Advanced Operator Algebra Research (7 papers), Spectral Theory in Mathematical Physics (6 papers), Quantum Mechanics and Applications (6 papers), Quantum Information and Cryptography (6 papers), Matrix Theory and Algorithms (5 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers) and Mathematical Inequalities and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (187 citations), Applied Mathematics (94 citations), Atomic and Molecular Physics, and Optics (279 citations), Mathematical Physics (80 citations) and Artificial Intelligence (257 citations). D. Petz has collaborated with scholars based in Hungary, Japan and Germany. Frequent co-authors include Hiroshi Hasegawa, Gábor Tóth, Michael A. Nielsen, Fumio Hiai, A. Verbeure, G. A. Raggio, Katalin M. Hangos, Viktor Szabó, Ferenc Szöllősi and Thomas Baier. Their work appears in journals such as Communications in Mathematical Physics, Letters in Mathematical Physics, Journal of Functional Analysis, Integral Equations and Operator Theory and IEEE Transactions on Automatic Control.
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.