Vilmos Gáspár

1.7k total citations
50 papers, 1.4k citations indexed

About

Vilmos Gáspár is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrochemistry. According to data from OpenAlex, Vilmos Gáspár has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 15 papers in Statistical and Nonlinear Physics and 14 papers in Electrochemistry. Recurrent topics in Vilmos Gáspár's work include Nonlinear Dynamics and Pattern Formation (34 papers), Electrochemical Analysis and Applications (14 papers) and Spectroscopy and Quantum Chemical Studies (9 papers). Vilmos Gáspár is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (34 papers), Electrochemical Analysis and Applications (14 papers) and Spectroscopy and Quantum Chemical Studies (9 papers). Vilmos Gáspár collaborates with scholars based in Hungary, United States and United Kingdom. Vilmos Gáspár's co-authors include Kenneth Showalter, István Z. Kiss, Valery Petrov, Jonathan Masere, Mihály T. Beck, Ágota Tóth, Lajos Nyikos, Stephen K. Scott, P. Parmananda and Jerzy Masełko and has published in prestigious journals such as Nature, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Vilmos Gáspár

49 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
Vilmos Gáspár Hungary 20 1.0k 591 261 207 147 50 1.4k
K. Bar‐Eli Israel 21 1.0k 1.0× 593 1.0× 418 1.6× 172 0.8× 241 1.6× 65 1.8k
Marcus J. B. Hauser Germany 23 744 0.7× 334 0.6× 270 1.0× 298 1.4× 375 2.6× 96 1.4k
Mária Burger Germany 9 692 0.7× 256 0.4× 239 0.9× 167 0.8× 154 1.0× 18 1.1k
V. I. Krinsky Russia 28 1.5k 1.5× 791 1.3× 332 1.3× 363 1.8× 374 2.5× 48 2.3k
Valery Petrov United States 18 1.5k 1.4× 1.1k 1.9× 294 1.1× 160 0.8× 143 1.0× 31 1.8k
Alexander von Oertzen Germany 14 1.1k 1.1× 621 1.1× 746 2.9× 290 1.4× 112 0.8× 18 2.1k
Igor Schreiber Czechia 18 551 0.5× 291 0.5× 186 0.7× 98 0.5× 227 1.5× 64 854
Harm Hinrich Rotermund Germany 16 641 0.6× 363 0.6× 369 1.4× 169 0.8× 66 0.4× 31 1.1k
L. Kuhnert Germany 10 849 0.8× 294 0.5× 201 0.8× 363 1.8× 201 1.4× 19 1.1k
S. Jakubith Germany 10 616 0.6× 337 0.6× 470 1.8× 147 0.7× 67 0.5× 11 1.2k

Countries citing papers authored by Vilmos Gáspár

Since Specialization
Citations

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

Fields of papers citing papers by Vilmos Gáspár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vilmos Gáspár

This figure shows the co-authorship network connecting the top 25 collaborators of Vilmos Gáspár. A scholar is included among the top collaborators of Vilmos Gáspár 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 Vilmos Gáspár. Vilmos Gáspár 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.
Manz, Niklas, et al.. (2025). Finding the eponym for the Belousov–Zhabotinsky reaction. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(7). 1 indexed citations
2.
Gáspár, Vilmos, et al.. (2025). Transtornos mentais na gestação e seus impactos na saúde da gestante e do feto: uma revisão integrativa. Brazilian Journal of Health Review. 8(3). e79987–e79987.
3.
Gáspár, Vilmos, et al.. (2015). Delayed feedback induced multirhythmicity in the oscillatory electrodissolution of copper. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(6). 64608–64608. 9 indexed citations
4.
Kiss, István Z., et al.. (2009). Scaling relationship for oscillating electrochemical systems: dependence of phase diagram on electrode size and rotation rate. Physical Chemistry Chemical Physics. 11(35). 7669–7669. 18 indexed citations
5.
Gáspár, Vilmos, et al.. (2009). Synchronization of electrochemical oscillators of S-NDR type. Electrochimica Acta. 55(2). 383–394. 7 indexed citations
6.
Taylor, Annette F., et al.. (2004). Modelling wave propagation across a series of gaps. Physical Chemistry Chemical Physics. 6(19). 4677–4681. 6 indexed citations
7.
Uthaisar, Chananate, et al.. (2004). Spiral wave dynamics controlled by a square-shaped sensory domain. Chemical Physics Letters. 389(1-3). 140–144. 9 indexed citations
8.
Kiss, István Z., Vilmos Gáspár, & John L. Hudson. (2000). Experiments on Synchronization and Control of Chaos on Coupled Electrochemical Oscillators. The Journal of Physical Chemistry B. 104(31). 7554–7560. 40 indexed citations
9.
Parmananda, P., Róger Madrigal, M. Rivera, et al.. (1999). Stabilization of unstable steady states and periodic orbits in an electrochemical system using delayed-feedback control. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 59(5). 5266–5271. 85 indexed citations
10.
Taylor, Annette F., Vilmos Gáspár, Barry R. Johnson, & Stephen K. Scott. (1999). Analysis of reaction–diffusion waves in the ferroin-catalysed Belousov–Zhabotinsky reaction. Physical Chemistry Chemical Physics. 1(19). 4595–4599. 9 indexed citations
11.
Nagy, I., et al.. (1996). Transition between circular fronts and spiral waves in marginally excitable media. Journal of the Chemical Society Faraday Transactions. 92(16). 2897–2901. 6 indexed citations
12.
Petrov, Valery, Vilmos Gáspár, Jonathan Masere, & Kenneth Showalter. (1993). Controlling chaos in the Belousov—Zhabotinsky reaction. Nature. 361(6409). 240–243. 301 indexed citations
13.
Kéki, Sándor, et al.. (1992). Modeling the oscillatory bromate oxidation of ferroin in open systems. The Journal of Physical Chemistry. 96(4). 1725–1729. 35 indexed citations
14.
Peng, Bo, Vilmos Gáspár, & Kenneth Showalter. (1991). False bifurcations in chemical systems: canards. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 337(1646). 275–289. 50 indexed citations
15.
Gáspár, Vilmos & Kenneth Showalter. (1988). Period lengthening and associated bifurcations in a two-variable, flow Oregonator. The Journal of Chemical Physics. 88(2). 778–791. 16 indexed citations
16.
Gáspár, Vilmos & Mihály T. Beck. (1987). Kinetics of the reversible photoaquation of the octacyanomolybdate(IV) ion. Polyhedron. 6(2). 269–273. 7 indexed citations
17.
Gáspár, Vilmos & Kenneth Showalter. (1987). The oscillatory Landolt reaction. Empirical rate law model and detailed mechanism. Journal of the American Chemical Society. 109(16). 4869–4876. 50 indexed citations
19.
Noszticzius, Zoltán, Vilmos Gáspár, & Horst Dieter Foersterling. (1985). Experimental test for the control intermediate in the Belousov-Zhabotinskii (BZ) reaction. Journal of the American Chemical Society. 107(8). 2314–2315. 13 indexed citations
20.
Gáspár, Vilmos, et al.. (1983). The Influence of Visible Light on the Beloasoy-Zhabotinskii Oscillating Reactions applying Different Catalysts. Zeitschrift für Physikalische Chemie. 264O(1). 43–48. 74 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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