Ferenc Pázmándi
- Condensed Matter Physics top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Materials Chemistry
- Statistical and Nonlinear Physics top 10%
- Electronic, Optical and Magnetic Materials
- Co-authors
- Gergely T. ZimányiRichard T. ScalettarGergely ZarándKenneth L. VerosubKai LiuHelmut G. KatzgraberR. T. ScalettarC. R. Pike
- Topics
- Theoretical and Computational Physics (13 papers)Neural Networks and Applications (5 papers)Cold Atom Physics and Bose-Einstein Condensates (4 papers)
- Cited by
- Condensed Matter PhysicsAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
- Partner nations
- United StatesHungarySwitzerland
In The Last Decade
Ferenc Pázmándi
20 papers receiving 397 citations
Peers
Comparison fields: 5 of 61
- Condensed Matter Physics 244
- Atomic and Molecular Physics, and Optics 177
- Materials Chemistry 74
- Statistical and Nonlinear Physics 64
- Electronic, Optical and Magnetic Materials 61
Countries citing papers authored by Ferenc Pázmándi
This map shows the geographic impact of Ferenc Pázmándi'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 Ferenc Pázmándi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferenc Pázmándi more than expected).
Fields of papers citing papers by Ferenc Pázmándi
This network shows the impact of papers produced by Ferenc Pázmándi. 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 Ferenc Pázmándi. The network helps show where Ferenc Pázmándi may publish in the future.
Co-authorship network of co-authors of Ferenc Pázmándi
This figure shows the co-authorship network connecting the top 25 collaborators of Ferenc Pázmándi. A scholar is included among the top collaborators of Ferenc Pázmándi 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 Ferenc Pázmándi. Ferenc Pázmándi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 0 | |
| 3 | 75 | |
| 4 | 40 | |
| 5 | 27 | |
| 6 | 24 | |
| 7 | 4 | |
| 8 | 56 | |
| 9 | Revisiting the Theory of Finite Size Scaling in Disordered Systems | 2 |
| 10 | 26 | |
| 11 | 76 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 7 |
About Ferenc Pázmándi
Ferenc Pázmándi is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 21 papers that have together received 403 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (13 papers), Neural Networks and Applications (5 papers) and Cold Atom Physics and Bose-Einstein Condensates (4 papers). The work is most often cited by research in Condensed Matter Physics (244 citations), Atomic and Molecular Physics, and Optics (177 citations) and Statistical and Nonlinear Physics (64 citations). Ferenc Pázmándi has collaborated with scholars based in United States, Hungary and Switzerland. Frequent co-authors include Gergely T. Zimányi, Richard T. Scalettar, Gergely Zaránd, Kenneth L. Verosub, Kai Liu, Helmut G. Katzgraber, R. T. Scalettar, C. R. Pike, Károly F. Pál and Rajiv Singh. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and Journal of Applied 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.