Zoltán Toroczkai

9.7k total citations · 2 hit papers
96 papers, 5.7k citations indexed

About

Zoltán Toroczkai is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Mathematical Physics. According to data from OpenAlex, Zoltán Toroczkai has authored 96 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistical and Nonlinear Physics, 27 papers in Condensed Matter Physics and 21 papers in Mathematical Physics. Recurrent topics in Zoltán Toroczkai's work include Theoretical and Computational Physics (26 papers), Complex Network Analysis Techniques (19 papers) and Stochastic processes and statistical mechanics (18 papers). Zoltán Toroczkai is often cited by papers focused on Theoretical and Computational Physics (26 papers), Complex Network Analysis Techniques (19 papers) and Stochastic processes and statistical mechanics (18 papers). Zoltán Toroczkai collaborates with scholars based in United States, Hungary and Romania. Zoltán Toroczkai's co-authors include Mária Ercsey-Ravasz, Hasan Güçlü, Nan Wang, Stephen Eubank, Madhav Marathe, V. S. Anil Kumar, Aravind Srinivasan, Kenneth Knoblauch, Henry Kennedy and David C. Van Essen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Zoltán Toroczkai

94 papers receiving 5.5k citations

Hit Papers

Modelling disease outbrea... 2004 2026 2011 2018 2004 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zoltán Toroczkai United States 35 1.9k 1.4k 733 727 535 96 5.7k
Jari Saramäki Finland 34 4.6k 2.4× 1.1k 0.8× 1.3k 1.7× 317 0.4× 150 0.3× 100 8.0k
Piet Van Mieghem Netherlands 48 5.1k 2.7× 1.1k 0.8× 3.0k 4.1× 1.4k 2.0× 254 0.5× 271 10.6k
Mason A. Porter United States 49 5.9k 3.2× 2.4k 1.8× 1.4k 1.9× 283 0.4× 177 0.3× 224 12.1k
Marián Boguñá Spain 39 6.0k 3.2× 430 0.3× 1.2k 1.6× 533 0.7× 505 0.9× 93 8.5k
Naoki Masuda Japan 44 2.1k 1.1× 1.1k 0.8× 443 0.6× 267 0.4× 73 0.1× 281 6.5k
T. Geisel Germany 45 4.0k 2.1× 2.4k 1.7× 1.8k 2.4× 907 1.2× 1.2k 2.2× 194 9.2k
Desmond J. Higham United Kingdom 41 1.7k 0.9× 1.1k 0.8× 538 0.7× 1.1k 1.5× 100 0.2× 163 8.6k
Dong‐Uk Hwang South Korea 16 5.0k 2.7× 1.5k 1.1× 2.9k 3.9× 188 0.3× 262 0.5× 37 8.7k
Mario Chávez France 34 5.3k 2.8× 3.2k 2.3× 3.1k 4.3× 315 0.4× 269 0.5× 103 12.3k
Lazaros K. Gallos United States 21 3.0k 1.6× 325 0.2× 608 0.8× 183 0.3× 233 0.4× 57 4.3k

Countries citing papers authored by Zoltán Toroczkai

Since Specialization
Citations

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

Fields of papers citing papers by Zoltán Toroczkai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoltán Toroczkai

This figure shows the co-authorship network connecting the top 25 collaborators of Zoltán Toroczkai. A scholar is included among the top collaborators of Zoltán Toroczkai 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 Zoltán Toroczkai. Zoltán Toroczkai 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.
Wolpert, David H., Jan Korbel, Christopher W. Lynn, et al.. (2024). Is stochastic thermodynamics the key to understanding the energy costs of computation?. Proceedings of the National Academy of Sciences. 121(45). e2321112121–e2321112121. 11 indexed citations
2.
Malik, Omar, et al.. (2024). Diffusive persistence on disordered lattices and random networks. Physical review. E. 109(2). 24113–24113.
3.
Bianconi, Ginestra, Edward T. Bullmore, Mark Burgess, et al.. (2023). Neuroscience Needs Network Science. Journal of Neuroscience. 43(34). 5989–5995. 38 indexed citations
4.
Molnár, Ferenc, Szabolcs Horvát, Ana Rita Ribeiro Gomes, et al.. (2023). Predictability of cortico-cortical connections in the mammalian brain. Network Neuroscience. 8(1). 138–157. 1 indexed citations
5.
Gămănuț, Răzvan, Henry Kennedy, Zoltán Toroczkai, et al.. (2018). The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles. Neuron. 97(3). 698–715.e10. 123 indexed citations
6.
Yin, Xunzhao, Zoltán Toroczkai, & Xiaobo Sharon Hu. (2017). An analog SAT solver based on a deterministic dynamical system. International Conference on Computer Aided Design. 1 indexed citations
7.
Noori, Hamid R., et al.. (2017). A multiscale cerebral neurochemical connectome of the rat brain. PLoS Biology. 15(7). e2002612–e2002612. 33 indexed citations
8.
Yin, Xunzhao, et al.. (2017). Efficient Analog Circuits for Boolean Satisfiability. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26(1). 155–167. 23 indexed citations
9.
Markov, Nikola T., Mária Ercsey-Ravasz, Camille Lamy, et al.. (2013). The role of long-range connections on the specificity of the macaque interareal cortical network. Proceedings of the National Academy of Sciences. 110(13). 5187–5192. 143 indexed citations
10.
Kennedy, Henry, Kenneth Knoblauch, & Zoltán Toroczkai. (2013). Why data coherence and quality is critical for understanding interareal cortical networks. NeuroImage. 80. 37–45. 29 indexed citations
11.
Ercsey-Ravasz, Mária & Zoltán Toroczkai. (2012). The Chaos Within Sudoku. Scientific Reports. 2(1). 725–725. 30 indexed citations
12.
Markov, Nikola T., Pierre Misery, Arnaud Falchier, et al.. (2010). Weight Consistency Specifies Regularities of Macaque Cortical Networks. Cerebral Cortex. 21(6). 1254–1272. 266 indexed citations
13.
Toroczkai, Zoltán. (2009). Functional vs. Structural Modularity: do they imply each other?. Bulletin of the American Physical Society. 1 indexed citations
14.
Sreenivasan, Sameet, Reuven Cohen, Eduardo López, Zoltán Toroczkai, & H. Eugene Stanley. (2007). Structural bottlenecks for communication in networks. Physical Review E. 75(3). 36105–36105. 107 indexed citations
15.
Korniss, G., et al.. (2007). Extreme fluctuations in noisy task-completion landscapes on scale-free networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 17(2). 26104–26104. 11 indexed citations
16.
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
17.
Toroczkai, Zoltán, et al.. (2002). Selective Sensitivity of Open Chaotic Flows on Inertial Tracer Advection: Catching Particles with a Stick. Physical Review Letters. 89(16). 164501–164501. 57 indexed citations
18.
Toroczkai, Zoltán & G. Korniss. (2001). Comment on “Extremal-point densities of interface fluctuations in a quenched random medium”. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(4). 48101–48101. 1 indexed citations
19.
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
20.
Péntek, Áron, James B. Kadtke, & Zoltán Toroczkai. (1996). Stabilizing chaotic vortex trajectories: an example of high-dimensional control. Physics Letters A. 224(1-2). 85–92. 9 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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