János Tóth

1.3k citations
73 papers · 820 indexed · h-index 15

János Tóth

71 papers receiving 775 citations

Peers

János Tóth
Comparison fields: 5 of 134
  • Statistical and Nonlinear Physics 168
  • Modeling and Simulation 54
  • Aging 13
  • Fluid Flow and Transfer Processes 32
  • Computer Networks and Communications 100
Replace R. Heinrich with:
R. Heinrich Germany
Rudiyanto Gunawan United States
Aldo Rescigno United States
Raima Larter United States
Vijayalakshmi Varma United States
L. Bass Australia
Tiejun Li China
E.E. Sel'kov Russia
Christian Reinhardt Switzerland
Anne Shiu United States
János Tóth relative to R. Heinrich Germany R. Heinrich's profile →
Citations per field
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R. Heinrich · 1×
Citations per year

Countries citing papers authored by János Tóth

Since Specialization
Citations

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

Fields of papers citing papers by János Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside János Tóth, 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 János Tóth Line = papers co-authored together János Tóth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20204
4 201913
5 20194
6 201813
7
Chaos via two-valued interval maps in a piecewise affine model example for hysteresis
20102
8 20097
9 200948
10 200813
11 200736
12
Il barone di Rocca Antica
20061
13 200612
14 200533
15 200529
16 20041
17 20034
18 20038
19 19869
20
A full stochastic description of the Michaelis-Menten reaction for small systems.
197718

About János Tóth

János Tóth is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Computer Networks and Communications, Aging and Geometry and Topology, having authored 73 papers that have together received 820 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (20 papers), Nonlinear Dynamics and Pattern Formation (17 papers), Gene Regulatory Network Analysis (12 papers), Spectroscopy and Quantum Chemical Studies (10 papers), stochastic dynamics and bifurcation (9 papers), Quantum chaos and dynamical systems (5 papers), Protein Structure and Dynamics (4 papers) and Analytical Chemistry and Chromatography (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (168 citations), Modeling and Simulation (54 citations), Aging (13 citations), Fluid Flow and Transfer Processes (32 citations) and Computer Networks and Communications (100 citations). János Tóth has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include Genyuan Li, Herschel Rabitz, Bernard Gaveau, M. Moreau, Ákos Koller, Béla Barabás, Gyula Pályi, Dávid Papp, Attila Nagy and Anna Csiszár. Their work appears in journals such as The Journal of Chemical Physics, Physica A Statistical Mechanics and its Applications, Journal of Theoretical Biology, Chemical Engineering Science and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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