Gábor Vattay

2.3k total citations
85 papers, 1.4k citations indexed

About

Gábor Vattay is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Condensed Matter Physics. According to data from OpenAlex, Gábor Vattay has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistical and Nonlinear Physics, 29 papers in Computer Networks and Communications and 14 papers in Condensed Matter Physics. Recurrent topics in Gábor Vattay's work include Complex Network Analysis Techniques (26 papers), Quantum chaos and dynamical systems (18 papers) and Network Traffic and Congestion Control (17 papers). Gábor Vattay is often cited by papers focused on Complex Network Analysis Techniques (26 papers), Quantum chaos and dynamical systems (18 papers) and Network Traffic and Congestion Control (17 papers). Gábor Vattay collaborates with scholars based in Hungary, United States and Germany. Gábor Vattay's co-authors include István Csabai, Dániel Kondor, Márton Pósfai, A. Wirzba, Péter Mátray, Sándor Laki, Ljupčo Kocarev, Sándor Molnár, András Veres and Andrea Harnos and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Gábor Vattay

84 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gábor Vattay Hungary 21 555 420 211 199 193 85 1.4k
Vito D. P. Servedio Italy 20 628 1.1× 141 0.3× 218 1.0× 214 1.1× 137 0.7× 53 1.6k
Raúl J. Mondragón United Kingdom 14 795 1.4× 272 0.6× 49 0.2× 92 0.5× 270 1.4× 43 1.5k
Seung Kee Han South Korea 15 1.7k 3.0× 1.0k 2.4× 68 0.3× 64 0.3× 159 0.8× 55 2.5k
Pierre Collet France 31 1.2k 2.1× 774 1.8× 65 0.3× 287 1.4× 88 0.5× 194 3.6k
Tim Evans United Kingdom 21 907 1.6× 156 0.4× 59 0.3× 94 0.5× 161 0.8× 74 1.7k
A. F. Pacheco Spain 19 1.2k 2.1× 428 1.0× 44 0.2× 91 0.5× 291 1.5× 114 2.2k
A. N. Samukhin Russia 13 1.3k 2.3× 244 0.6× 51 0.2× 130 0.7× 57 0.3× 23 1.6k
David Stirzaker United Kingdom 10 189 0.3× 394 0.9× 44 0.2× 107 0.5× 76 0.4× 24 1.9k
Oliver Riordan United Kingdom 23 1.6k 2.8× 403 1.0× 65 0.3× 98 0.5× 50 0.3× 70 2.9k
Bert Fristedt United States 14 270 0.5× 300 0.7× 59 0.3× 268 1.3× 94 0.5× 43 3.3k

Countries citing papers authored by Gábor Vattay

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Vattay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Vattay

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Vattay. A scholar is included among the top collaborators of Gábor Vattay 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 Gábor Vattay. Gábor Vattay 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.
Papp, Eszter & Gábor Vattay. (2024). Computation of biological conductance with Liouville quantum master equation. Scientific Reports. 14(1). 19571–19571. 4 indexed citations
2.
Papp, Eszter, Gábor Vattay, Carlos Romero‐Muñiz, et al.. (2023). Experimental Data Confirm Carrier-Cascade Model for Solid-State Conductance across Proteins. The Journal of Physical Chemistry B. 127(8). 1728–1734. 3 indexed citations
3.
Vattay, Gábor, et al.. (2022). Mean field approximation for solving QUBO problems. PLoS ONE. 17(8). e0273709–e0273709. 4 indexed citations
4.
Kondor, Dániel, et al.. (2019). Scaling in Words on Twitter. ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University). 4 indexed citations
5.
6.
Vattay, Gábor, et al.. (2018). Urban Scaling of Football Followership on Twitter . Acta Polytechnica Hungarica. 15(5). 1 indexed citations
7.
Szállási, Zoltán, et al.. (2018). Universal scaling laws in metro area election results. PLoS ONE. 13(2). e0192913–e0192913. 13 indexed citations
8.
Stéger, József, et al.. (2018). Audio-based performance evaluation of squash players. PLoS ONE. 13(3). e0194394–e0194394. 2 indexed citations
9.
Stéger, József, et al.. (2018). A Bayesian approach to identify Bitcoin users. PLoS ONE. 13(12). e0207000–e0207000. 30 indexed citations
10.
Kondor, Dániel, Márton Pósfai, István Csabai, & Gábor Vattay. (2014). Do the Rich Get Richer? An Empirical Analysis of the Bitcoin Transaction Network. PLoS ONE. 9(2). e86197–e86197. 223 indexed citations
11.
Kondor, Dániel, et al.. (2013). Regional properties of global communication as reflected in aggregated Twitter data. ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University). 3 indexed citations
12.
Dobos, László, et al.. (2013). A multi-terabyte relational database for geo-tagged social network data. ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University). 13 indexed citations
13.
Kondor, Dániel, et al.. (2013). Using Robust PCA to estimate regional characteristics of language use from geo-tagged Twitter messages. ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University). 4 indexed citations
14.
Spisák, Sándor, Norbert Solymosi, András Bodor, et al.. (2013). Complete Genes May Pass from Food to Human Blood. PLoS ONE. 8(7). e69805–e69805. 49 indexed citations
15.
Csabai, István, et al.. (2009). Inferring the background traffic arrival process in the Internet. Physical Review E. 80(6). 66103–66103. 1 indexed citations
16.
Rizzo, Tommaso, József Stéger, Péter Pollner, István Csabai, & Gábor Vattay. (2008). High quality queueing information from accelerated active network tomography. 22. 1 indexed citations
17.
Simon, Gábor, et al.. (2006). Measuring the Dynamical State of the Internet: Large-Scale Network Tomography via the ETOMIC Infrastructure. ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University). 3(1-3). 119–130. 2 indexed citations
18.
Kocarev, Ljupčo & Gábor Vattay. (2005). Complex Dynamics in Communication Networks (Understanding Complex Systems). Springer eBooks. 2 indexed citations
19.
Cvitanović, Predrag, Niels Søndergaard, Gergely Palla, Gábor Vattay, & Carl P. Dettmann. (1999). Spectrum of stochastic evolution operators: Local matrix representation approach. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(4). 3936–3941. 20 indexed citations
20.
Dittrich, Thomas, B. Mehlig, Holger Schanz, et al.. (1999). Spectral correlations in systems undergoing a transition from periodicity to disorder. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 59(6). 6541–6551. 5 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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