D. Petz

1.2k citations
26 papers · 564 · h-index 11

Impact in

Papers in

D. Petz

25 papers receiving 545 citations

Peers

D. Petz
Comparison fields: 5 of 39
  • Statistical and Nonlinear Physics 209
  • Mathematical Physics 105
  • Atomic and Molecular Physics, and Optics 313
  • Applied Mathematics 105
  • Statistics and Probability 73
Replace 雅則 大矢 with:
雅則 大矢 Italy
Anna Jenčová Slovakia
L. Velázquez Spain
Tommaso Isola Italy
Yun Gang Lu Italy
Kalyan B. Sinha India
Donald Bures
Michael Keyl Germany
Paolo Aniello Italy
Robert Olkiewicz Poland
D. Petz relative to 雅則 大矢 Italy 雅則 大矢's profile →
Citations per field
00.5×8.2×
雅則 大矢 · 1×
Citations per year

Countries citing papers authored by D. Petz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 13 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.

Border = papers with D. Petz Line = papers co-authored together D. Petz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986194
2 199656
3 199355
4 200544
5 198839
6 198933
7 201023
8 200918
9 198614
10 200714
11 199412
12 19869
13 20097
14 19997
15 20127
16 20067
17 19926
18 19985
19 20104
20 20073

About D. Petz

D. Petz is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Mathematical Physics, Artificial Intelligence and Computational Theory and Mathematics, having authored 26 papers that have together received 564 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (10 papers), Advanced Operator Algebra Research (7 papers), Quantum Information and Cryptography (7 papers), Quantum Mechanics and Applications (7 papers), Matrix Theory and Algorithms (6 papers), Spectral Theory in Mathematical Physics (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers) and Mathematical Inequalities and Applications (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (209 citations), Mathematical Physics (105 citations), Atomic and Molecular Physics, and Optics (313 citations), Applied Mathematics (105 citations) and Statistics and Probability (73 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 Attila Magyar. Their work appears in journals such as Communications in Mathematical Physics, Letters in Mathematical Physics, Journal of Functional Analysis, International Journal of Mathematics 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.

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