Zoltán Dezső

6.4k citations
28 papers · 2.0k indexed · 1 hit paper · h-index 14
Topics
Bioinformatics and Genomic Networks (9 papers)Computational Drug Discovery Methods (5 papers)Complex Network Analysis Techniques (5 papers)
Partner nations
United StatesJapanRussia

In The Last Decade

Zoltán Dezső

24 papers receiving 1.9k citations

Hit Papers

Modeling bursts and heavy tails in human dynamics20062026201220192006100200300400

Peers

Zoltán Dezső
Comparison fields: 5 of 149
  • Statistical and Nonlinear Physics 782
  • Molecular Biology 713
  • Cancer Research 297
  • Computer Networks and Communications 160
  • Economics and Econometrics 146
Replace Shai Carmi with:
Shai Carmi Israel
Michael T. Schaub Germany
Ala Trusina Denmark
Erzsébet Ravasz Regan United States
Gábor Szabó United States
Michal Rosen‐Zvi Israel
Natali Gulbahce United States
Xin‐Jian Xu China
Shmoolik Mangan Israel
Tom Lenaerts Belgium
Zoltán Dezső relative to Shai Carmi Israel Shai Carmi's profile →
Citations per field
00.5×2.9×
Shai Carmi · 1×
Citations per year

Countries citing papers authored by Zoltán Dezső

Since Specialization
Citations

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

Fields of papers citing papers by Zoltán Dezső

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoltán Dezső

This figure shows the co-authorship network connecting the top 25 collaborators of Zoltán Dezső. A scholar is included among the top collaborators of Zoltán Dezső 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 Dezső. Zoltán Dezső 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 6
2 0
3 25
4 35
5 0
6 1
7 50
8 306
9 1
10 27
11 1
12 43
13 91
14 69
15
Modeling bursts and heavy tails in human dynamicsbreakdown →
465
16 178
17
The Dynamics of Information Access in the Online Media
1
18 96
19 414
20
Can we stop the AIDS epidemic
4

About Zoltán Dezső

Zoltán Dezső is a scholar working on Statistical and Nonlinear Physics, Cancer Research and Computational Theory and Mathematics, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (782 citations), Modeling and Simulation (96 citations) and Transportation (135 citations). Zoltán Dezső has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Albert-Ĺaszló Barabási, Alexei Vázquez, Imre Kondor, J. G. Oliveira, K.-I. Goh, Sergei Agoulnik, Yoshiya Oda, Tatiana Nikolskaya, Yuri Nikolsky and Zoltán N. Oltvai. Their work appears in journals such as The Journal of Experimental Medicine, Bioinformatics and PLoS ONE.

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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