Viktor Horváth

1.5k citations
41 papers · 1.2k indexed · h-index 17

Impact in

Papers in

Viktor Horváth

39 papers receiving 1.1k citations

Peers

Viktor Horváth
Comparison fields: 5 of 114
  • Condensed Matter Physics 582
  • Mathematical Physics 251
  • Computational Mechanics 164
  • Statistical and Nonlinear Physics 84
  • Computer Networks and Communications 153
Replace Vasily Zaburdaev with:
Vasily Zaburdaev Germany
Luis Cisneros United States
A. Hernández‐Machado Spain
Pik-Yin Lai Taiwan
Dibyendu Das India
Juan Elezgaray France
Markko Myllys Finland
Greg Huber United States
Yael Roichman Israel
Wing Yim Tam Hong Kong
Viktor Horváth relative to Vasily Zaburdaev Germany Vasily Zaburdaev's profile →
Citations per field
00.5×2.7×
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
#Work
1 20250
2 20250
3 20241
4 202417
5 202312
6 202213
7 202280
8 201514
9 20153
10
Belousov-Zhabotinsky "chemical neuron" as a binary and fuzzy logic processor
201241
11 201268
12 201137
13 200911
14 20067
15 200314
16 20013
17 20012
18 199621
19 19901
20 198921

About Viktor Horváth

Viktor Horváth is a scholar working on Condensed Matter Physics, Computer Networks and Communications, Mathematical Physics, Electrochemistry and Microbiology, having authored 41 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), Neural dynamics and brain function (3 papers), NMR spectroscopy and applications (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Condensed Matter Physics (582 citations), Mathematical Physics (251 citations), Computational Mechanics (164 citations), Statistical and Nonlinear Physics (84 citations) and Computer Networks and Communications (153 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, Pier Luigi Gentili, Ferenc Wéber, Vladimir K. Vanag and Miklós Orbán. Their work appears in journals such as Physical Review Letters, The Journal of Physical Chemistry A, Physical Chemistry Chemical Physics, Chaos An Interdisciplinary Journal of Nonlinear Science and Journal of the American Chemical Society.

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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