Dėnes Petz
- Atomic and Molecular Physics, and Optics top 1%
- Artificial Intelligence top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Applied Mathematics top 0.5%
- Mathematical Physics top 1%
- Co-authors
- Fumio Hiai雅則 大矢Masanori OhyaG. TóthMary Beth RuskaiMilán MosonyiCédric BényDavid Pérez-Garcı́a
- Topics
- Mathematical Inequalities and Applications (22 papers)Matrix Theory and Algorithms (22 papers)Quantum Mechanics and Applications (17 papers)
In The Last Decade
Dėnes Petz
67 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Atomic and Molecular Physics, and Optics 2.0k
- Artificial Intelligence 2.0k
- Statistical and Nonlinear Physics 1.2k
- Applied Mathematics 731
- Mathematical Physics 589
Countries citing papers authored by Dėnes Petz
This map shows the geographic impact of Dėnes 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 Dėnes Petz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dėnes Petz more than expected).
Fields of papers citing papers by Dėnes Petz
This network shows the impact of papers produced by Dėnes 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 Dėnes Petz. The network helps show where Dėnes Petz may publish in the future.
Co-authorship network of co-authors of Dėnes Petz
This figure shows the co-authorship network connecting the top 25 collaborators of Dėnes Petz. A scholar is included among the top collaborators of Dėnes Petz 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 Dėnes Petz. Dėnes Petz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Some Decompositions of Matrix Variances | 0 |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 70 | |
| 6 | 15 | |
| 7 | 13 | |
| 8 | 11 | |
| 9 | 0 | |
| 10 | 58 | |
| 11 | 8 | |
| 12 | The Semicircle Law, Free Random Variables and Entropy (Mathematical Surveys & Monographs) | 56 |
| 13 | 216 | |
| 14 | 0 | |
| 15 | 8 | |
| 16 | 6 | |
| 17 | Free relative entropy for measures and a corresponding perturbation theory | 4 |
| 18 | 85 | |
| 19 | 11 | |
| 20 | 25 |
About Dėnes Petz
Dėnes Petz is a scholar working on Applied Mathematics, Mathematical Physics and Statistical and Nonlinear Physics, having authored 75 papers that have together received 3.7k indexed citations. Recurring topics across this work include Mathematical Inequalities and Applications (22 papers), Matrix Theory and Algorithms (22 papers) and Quantum Mechanics and Applications (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Applied Mathematics (731 citations) and Statistics and Probability (568 citations). Dėnes Petz has collaborated with scholars based in Hungary, Japan and Belgium. Frequent co-authors include Fumio Hiai, 雅則 大矢, Masanori Ohya, G. Tóth, Mary Beth Ruskai, Milán Mosonyi, Cédric Bény, David Pérez-Garcı́a, Michael M. Wolf and Jaroslav Zemánek. Their work appears in journals such as IEEE Transactions on Information Theory, Physical Review A and Communications in Mathematical Physics.
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.