György Károlyi

1.7k total citations
70 papers, 1.2k citations indexed

About

György Károlyi is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Computer Networks and Communications. According to data from OpenAlex, György Károlyi has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistical and Nonlinear Physics, 15 papers in Condensed Matter Physics and 11 papers in Computer Networks and Communications. Recurrent topics in György Károlyi's work include Quantum chaos and dynamical systems (20 papers), Theoretical and Computational Physics (14 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). György Károlyi is often cited by papers focused on Quantum chaos and dynamical systems (20 papers), Theoretical and Computational Physics (14 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). György Károlyi collaborates with scholars based in Hungary, United States and United Kingdom. György Károlyi's co-authors include Tamás Tél, Celso Grebogi, Zoltán Toroczkai, István Scheuring, Áron Péntek, Alessandro de Moura, Tamás Bódai, Zoltán Neufeld, Alessandro P. S. de Moura and Tamás Czárán and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Physics Reports.

In The Last Decade

György Károlyi

67 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
György Károlyi Hungary 18 481 252 227 172 106 70 1.2k
Andrew J. Bernoff United States 24 240 0.5× 339 1.3× 192 0.8× 583 3.4× 55 0.5× 58 1.6k
Preben Alstrøm Denmark 19 291 0.6× 226 0.9× 276 1.2× 71 0.4× 74 0.7× 53 1.1k
Imre M. Jánosi Hungary 26 257 0.5× 141 0.6× 249 1.1× 313 1.8× 89 0.8× 93 2.0k
Massimo Cencini Italy 26 588 1.2× 222 0.9× 413 1.8× 1.1k 6.5× 226 2.1× 92 2.6k
Gerhard Dangelmayr United States 17 417 0.9× 517 2.1× 86 0.4× 170 1.0× 50 0.5× 72 1.0k
J. Brindley United Kingdom 24 501 1.0× 705 2.8× 66 0.3× 556 3.2× 264 2.5× 145 2.5k
Nathan Platt United States 11 855 1.8× 701 2.8× 102 0.4× 127 0.7× 22 0.2× 29 1.5k
L. N. Howard United States 16 380 0.8× 567 2.3× 82 0.4× 565 3.3× 192 1.8× 28 1.7k
Tasso J. Kaper United States 30 1.3k 2.6× 1.4k 5.5× 142 0.6× 366 2.1× 37 0.3× 79 2.7k
J. L. Aragón Mexico 19 157 0.3× 260 1.0× 85 0.4× 64 0.4× 52 0.5× 106 1.2k

Countries citing papers authored by György Károlyi

Since Specialization
Citations

This map shows the geographic impact of György Károlyi'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 György Károlyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites György Károlyi more than expected).

Fields of papers citing papers by György Károlyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by György Károlyi. 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 György Károlyi. The network helps show where György Károlyi may publish in the future.

Co-authorship network of co-authors of György Károlyi

This figure shows the co-authorship network connecting the top 25 collaborators of György Károlyi. A scholar is included among the top collaborators of György Károlyi 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 György Károlyi. György Károlyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Závodszky, Gábor, et al.. (2024). Fractals and Chaos in the Hemodynamics of Intracranial Aneurysms. Advances in neurobiology. 36. 397–412. 2 indexed citations
2.
Károlyi, György, et al.. (2024). Mechanical properties of laminated bamboo lumber N-finity according to ISO 23478-2022. Journal of Wood Science. 70(1). 3 indexed citations
3.
Károlyi, György, et al.. (2023). Nonlinear analysis of a bamboo plywood-steel composite I-section beam under bending. Materials Today Proceedings. 3 indexed citations
4.
Kollár, László P., et al.. (2021). Damage potential: A dimensionless parameter to characterize soft aircraft impact into robust targets. STRUCTURAL ENGINEERING AND MECHANICS. 78(1). 31. 1 indexed citations
5.
Omairey, Sadik, et al.. (2021). A numerical anatomy-based modelling of bamboo microstructure. Construction and Building Materials. 308. 125036–125036. 19 indexed citations
6.
Károlyi, György & András Á. Sipos. (2021). Soft impact of an elongated elasto-plastic missile. International Journal of Mechanical Sciences. 212. 106804–106804. 2 indexed citations
7.
Károlyi, György, et al.. (2020). Climate change in a conceptual atmosphere–phytoplankton model. Earth System Dynamics. 11(3). 603–615. 5 indexed citations
8.
Károlyi, György, et al.. (2016). Local Effects of Impact into Concrete Structure. Periodica Polytechnica Civil Engineering. 60(4). 573–582. 2 indexed citations
9.
Bódai, Tamás, György Károlyi, & Tamás Tél. (2013). Driving a conceptual model climate by different processes: Snapshot attractors and extreme events. Physical Review E. 87(2). 22822–22822. 12 indexed citations
10.
Károlyi, György, et al.. (2011). Are the fractal skeletons the explanation for the narrowing of arteries due to cell trapping in a disturbed blood flow?. Computers in Biology and Medicine. 42(3). 276–281. 8 indexed citations
11.
Károlyi, György & Tamás Tél. (2007). Effective dimensions and chemical reactions in fluid flows. Physical Review E. 76(4). 46315–46315. 11 indexed citations
12.
Károlyi, György, et al.. (2006). Conservative spatial chaos of buckled elastic linkages. Chaos An Interdisciplinary Journal of Nonlinear Science. 16(3). 33111–33111. 12 indexed citations
13.
Károlyi, György & Tamás Tél. (2005). Chemical Transients in Closed Chaotic Flows: The Role of Effective Dimensions. Physical Review Letters. 95(26). 264501–264501. 17 indexed citations
14.
Scheuring, István, György Károlyi, Zoltán Toroczkai, Tamás Tél, & Áron Péntek. (2003). Competing populations in flows with chaotic mixing. Theoretical Population Biology. 63(2). 77–90. 32 indexed citations
15.
Károlyi, György, István Scheuring, & Tamás Czárán. (2002). Metabolic network dynamics in open chaotic flow. Chaos An Interdisciplinary Journal of Nonlinear Science. 12(2). 460–469. 16 indexed citations
16.
Bárány, Imre & György Károlyi. (2001). Problems and results around the Erdos-Szekeres convex polygon theorem. Discrete & Computational Geometry. 2098. 91–105. 13 indexed citations
17.
Tél, Tamás, György Károlyi, Áron Péntek, et al.. (2000). Chaotic advection, diffusion, and reactions in open flows. Chaos An Interdisciplinary Journal of Nonlinear Science. 10(1). 89–98. 52 indexed citations
18.
Károlyi, György, Áron Péntek, Zoltán Toroczkai, Tamás Tél, & Celso Grebogi. (1999). Chemical or biological activity in open chaotic flows. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 59(5). 5468–5481. 49 indexed citations
19.
Károlyi, György, et al.. (1991). Value of mortality data and necropsy records in monitoring morbidity in a population.. Journal of Epidemiology & Community Health. 45(3). 238–243. 4 indexed citations
20.
Károlyi, György, Sándor J. Kovács, & Péter P. Pálfy. (1990). Doubly transitive permutation groups with abelian stabilizers. Aequationes Mathematicae. 39(2-3). 161–166. 4 indexed citations

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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