Viktor Horváth

40 papers receiving 1.2k citations

Peers

Viktor Horváth
Comparison fields: 5 of 111
  • Condensed Matter Physics 586
  • Mathematical Physics 252
  • Computational Mechanics 165
  • Statistical and Nonlinear Physics 84
  • Computer Networks and Communications 155
Replace Vasily Zaburdaev with:
Vasily Zaburdaev Germany
Juan Elezgaray France
A. Hernández‐Machado Spain
Markko Myllys Finland
Fabian Brau Belgium
Pik-Yin Lai Taiwan
Leonardo Golubović United States
Ariel Amir United States
Greg Huber United States
Wing Yim Tam Hong Kong
Viktor Horváth relative to Vasily Zaburdaev Germany Vasily Zaburdaev's profile →
Citations per field
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Vasily Zaburdaev · 1×
Citations per year

Countries citing papers authored by Viktor Horváth

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Horváth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Viktor Horváth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Viktor Horváth Line = papers co-authored together Viktor Horváth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990161
2 1991145
3 202288
4 199388
5 199171
6 201268
7 199565
8 198756
9 199050
10
Belousov-Zhabotinsky "chemical neuron" as a binary and fuzzy logic processor
201241
11 201138
12 199836
13 200028
14 202421
15 198721
16 199621
17 198921
18 201514
19 200814
20 200314

About Viktor Horváth

Viktor Horváth is a scholar working on Computer Networks and Communications, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Materials Chemistry, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (14 papers), Theoretical and Computational Physics (12 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Photoreceptor and optogenetics research (4 papers), Material Dynamics and Properties (4 papers), Stochastic processes and statistical mechanics (3 papers), NMR spectroscopy and applications (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Condensed Matter Physics (586 citations), Mathematical Physics (252 citations), Computational Mechanics (165 citations), Statistical and Nonlinear Physics (84 citations) and Computer Networks and Communications (155 citations). Viktor Horváth has collaborated with scholars based in United States, Hungary and Italy. Frequent co-authors include Tamás Vicsek, Fereydoon Family, János Kertész, Miklós Cserző, Irving R. Epstein, Imre M. Jánosi, Ferenc Wéber, Pier Luigi Gentili, Vladimir K. Vanag and Miklós Orbán. Their work appears in journals such as The Journal of Physical Chemistry A, Physical Review Letters, Chaos An Interdisciplinary Journal of Nonlinear Science, Physical Chemistry Chemical Physics and Nature Communications.

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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