Géza Ódor
Impact in
- Condensed Matter Physics top 1%
- Theoretical and Computational Physics
- Mathematical Physics top 1%
- Stochastic processes and statistical mechanics
Papers in
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- Theoretical and Computational Physics 76
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- Stochastic processes and statistical mechanics 50
- Co-authors
- N. Menyhárd (11 shared papers)Jeffrey Kelling (18 shared papers)Róbert Juhász (5 shared papers)Miguel A. Muñoz (3 shared papers)Claudio Castellano (3 shared papers)Haye Hinrichsen (4 shared papers)B. Hartmann (8 shared papers)Bartosz Liedke (6 shared papers)
In The Last Decade
Géza Ódor
102 papers receiving 2.1k citations
Géza Ódor's Hit Papers
Peers
Comparison fields: 5 of 85
- Condensed Matter Physics 1.3k
- Mathematical Physics 934
- Statistical and Nonlinear Physics 798
- Statistics and Probability 162
- Cognitive Neuroscience 240
Countries citing papers authored by Géza Ódor
This map shows the geographic impact of Géza Ódor'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 Géza Ódor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Géza Ódor more than expected).
Fields of papers citing papers by Géza Ódor
This network shows the impact of papers produced by Géza Ódor. 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 Géza Ódor. The network helps show where Géza Ódor may publish in the future.
Co-authors
The 25 scholars most cited alongside Géza Ódor, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Universality classes in nonequilibrium lattice systems Hit paper breakdown → | 2004 | 566 |
| 2 | 2010 | 111 | |
| 3 | 2008 | 98 | |
| 4 | 2011 | 65 | |
| 5 | 2008 | 57 | |
| 6 | 2000 | 51 | |
| 7 | 2001 | 42 | |
| 8 | 1996 | 42 | |
| 9 | 1995 | 41 | |
| 10 | 2019 | 33 | |
| 11 | 2012 | 31 | |
| 12 | 1999 | 31 | |
| 13 | 2003 | 29 | |
| 14 | 2010 | 28 | |
| 15 | 2016 | 28 | |
| 16 | 2018 | 27 | |
| 17 | 1988 | 26 | |
| 18 | 2009 | 26 | |
| 19 | 2002 | 24 | |
| 20 | 2006 | 23 |
About Géza Ódor
Géza Ódor is a scholar working on Condensed Matter Physics, Mathematical Physics, Statistical and Nonlinear Physics, Computer Networks and Communications and Materials Chemistry, having authored 106 papers that have together received 2.1k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (76 papers), Stochastic processes and statistical mechanics (50 papers), Complex Network Analysis Techniques (31 papers), Opinion Dynamics and Social Influence (21 papers), Nonlinear Dynamics and Pattern Formation (18 papers), Material Dynamics and Properties (15 papers), Neural dynamics and brain function (10 papers) and Functional Brain Connectivity Studies (9 papers). The work is most often cited by research in Condensed Matter Physics (1.3k citations), Mathematical Physics (934 citations), Statistical and Nonlinear Physics (798 citations), Statistics and Probability (162 citations) and Cognitive Neuroscience (240 citations). Géza Ódor has collaborated with scholars based in Hungary, Germany and Spain. Frequent co-authors include N. Menyhárd, Jeffrey Kelling, Róbert Juhász, Miguel A. Muñoz, Claudio Castellano, Haye Hinrichsen, B. Hartmann, Bartosz Liedke, Sibylle Gemming and György Szabó. Their work appears in journals such as Physical review. E, Scientific Reports, Chaos An Interdisciplinary Journal of Nonlinear Science, Computer Physics Communications and Physical Review Research.
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.