Zoltán Toroczkai

9.7k citations
96 papers · 5.7k indexed · 2 hit papers · h-index 35
Topics
Theoretical and Computational Physics (26 papers)Complex Network Analysis Techniques (19 papers)Stochastic processes and statistical mechanics (18 papers)

In The Last Decade

Zoltán Toroczkai

94 papers receiving 5.5k citations

Hit Papers

Modelling disease outbreaks in realistic urban social net...2004202620112018200420134008001.2k

Peers

Zoltán Toroczkai
Comparison fields: 5 of 179
  • Statistical and Nonlinear Physics 1.9k
  • Cognitive Neuroscience 1.4k
  • Computer Networks and Communications 733
  • Modeling and Simulation 727
  • Condensed Matter Physics 535
Replace Kim Sneppen with:
Kim Sneppen Denmark
Piet Van Mieghem Netherlands
Mason A. Porter United States
Mario Chávez France
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T. Geisel Germany
Naoki Masuda Japan
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Zoltán Toroczkai relative to Kim Sneppen Denmark Kim Sneppen's profile →
Citations per field
00.5×2.9×
Kim Sneppen · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 11
3 1
4 38
5 2
6 123
7 33
8 1
9 143
10 30
11 266
12
Functional vs. Structural Modularity: do they imply each other?
1
13 11
14 107
15 44
16
Modelling disease outbreaks in realistic urban social networksbreakdown →
1387
17 19
18 1
19 6
20 42

About Zoltán Toroczkai

Zoltán Toroczkai is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Condensed Matter Physics, having authored 96 papers that have together received 5.7k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (26 papers), Complex Network Analysis Techniques (19 papers) and Stochastic processes and statistical mechanics (18 papers). The work is most often cited by research in Modeling and Simulation (727 citations), Statistical and Nonlinear Physics (1.9k citations) and Cognitive Neuroscience (1.4k citations). Zoltán Toroczkai has collaborated with scholars based in United States, Hungary and Romania. Frequent co-authors include Mária Ercsey-Ravasz, Hasan Güçlü, V. S. Anil Kumar, Madhav Marathe, Nan Wang, Aravind Srinivasan, Stephen Eubank, Kenneth Knoblauch, Henry Kennedy and David C. Van Essen. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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