P. Ruján
Impact in
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics
- Physics of Superconductivity and Magnetism
Papers in
-
- Theoretical and Computational Physics 22
- Physics of Superconductivity and Magnetism 7
-
- Quantum many-body systems 10
- Advanced Chemical Physics Studies 3
- Co-authors
- Mario Marchand (3 shared papers)Wolfgang Kinzel (1 shared paper)Josef Ammermüller (3 shared papers)Mostefa Golea (1 shared paper)Martin Greschner (1 shared paper)G. Györgyi (1 shared paper)W. Selke (3 shared papers)A. Patkós (7 shared papers)
- Journals
- Physical review. B, Condensed matter (7 papers)Physics Letters B (3 papers)Physica A Statistical Mechanics and its Applications (2 papers)Europhysics Letters (EPL) (2 papers)Network Computation in Neural Systems (2 papers)
- Partner nations
- GermanyHungaryUnited States
In The Last Decade
P. Ruján
39 papers receiving 680 citations
Peers
Comparison fields: 5 of 66
- Condensed Matter Physics 272
- Statistical and Nonlinear Physics 119
- Artificial Intelligence 243
- Mathematical Physics 50
- Cognitive Neuroscience 100
Countries citing papers authored by P. Ruján
This map shows the geographic impact of P. Ruján'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 P. Ruján with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Ruján more than expected).
Fields of papers citing papers by P. Ruján
This network shows the impact of papers produced by P. Ruján. 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 P. Ruján. The network helps show where P. Ruján may publish in the future.
Co-authors
The 21 scholars most cited alongside P. Ruján, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 95 | |
| 2 | 1990 | 87 | |
| 3 | 1990 | 68 | |
| 4 | 1993 | 66 | |
| 5 | 1981 | 40 | |
| 6 | 1981 | 36 | |
| 7 | 1984 | 35 | |
| 8 | 1997 | 28 | |
| 9 | 1983 | 27 | |
| 10 | 1978 | 22 | |
| 11 | 1993 | 21 | |
| 12 | 1993 | 17 | |
| 13 | 1985 | 16 | |
| 14 | Learning by Minimizing Resources in Neural Networks | 1989 | 15 |
| 15 | 2001 | 12 | |
| 16 | 1986 | 12 | |
| 17 | 1997 | 12 | |
| 18 | 1985 | 11 | |
| 19 | 1979 | 11 | |
| 20 | 1981 | 11 |
About P. Ruján
P. Ruján is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Artificial Intelligence and Mathematical Physics, having authored 41 papers that have together received 720 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (22 papers), Quantum many-body systems (10 papers), Neural Networks and Applications (10 papers), Physics of Superconductivity and Magnetism (7 papers), Stochastic processes and statistical mechanics (5 papers), Material Dynamics and Properties (4 papers), Advanced Chemical Physics Studies (3 papers) and Quantum chaos and dynamical systems (3 papers). The work is most often cited by research in Condensed Matter Physics (272 citations), Statistical and Nonlinear Physics (119 citations), Artificial Intelligence (243 citations), Mathematical Physics (50 citations) and Cognitive Neuroscience (100 citations). P. Ruján has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Mario Marchand, Wolfgang Kinzel, Josef Ammermüller, Mostefa Golea, Martin Greschner, G. Györgyi, W. Selke, A. Patkós, G. Uimin and H. L. Frisch. Their work appears in journals such as Physical review. B, Condensed matter, Physics Letters B, Physica A Statistical Mechanics and its Applications, Europhysics Letters (EPL) and Network Computation in Neural Systems.
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.