Éva Kaslik

2.0k total citations · 1 hit paper
66 papers, 1.5k citations indexed

About

Éva Kaslik is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation. According to data from OpenAlex, Éva Kaslik has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistical and Nonlinear Physics, 25 papers in Computer Networks and Communications and 21 papers in Modeling and Simulation. Recurrent topics in Éva Kaslik's work include stochastic dynamics and bifurcation (22 papers), Neural Networks Stability and Synchronization (21 papers) and Fractional Differential Equations Solutions (20 papers). Éva Kaslik is often cited by papers focused on stochastic dynamics and bifurcation (22 papers), Neural Networks Stability and Synchronization (21 papers) and Fractional Differential Equations Solutions (20 papers). Éva Kaslik collaborates with scholars based in Romania, United States and France. Éva Kaslik's co-authors include Seenith Sivasundaram, Roberto Garrappa, Călin-Adrian Popa, Štefan Bálint, Marina Popolizio, Alain Grigis, S. Sivasundaram, Argha Mondal, Dorota Mozyrska and Małgorzata Wyrwas and has published in prestigious journals such as Scientific Reports, Neural Networks and Journal of Mathematical Analysis and Applications.

In The Last Decade

Éva Kaslik

59 papers receiving 1.4k citations

Hit Papers

Nonlinear dynamics and chaos in fractional-order neural n... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éva Kaslik Romania 19 781 675 484 475 233 66 1.5k
Seenith Sivasundaram United States 14 496 0.6× 487 0.7× 310 0.6× 465 1.0× 129 0.6× 33 1.0k
Wang Hu China 14 932 1.2× 646 1.0× 441 0.9× 266 0.6× 159 0.7× 67 1.3k
Marat Akhmet Türkiye 24 834 1.1× 708 1.0× 335 0.7× 230 0.5× 358 1.5× 160 2.0k
Marius‐F. Danca Romania 21 554 0.7× 995 1.5× 138 0.3× 301 0.6× 169 0.7× 98 1.4k
G. Velmurugan India 23 1.6k 2.0× 984 1.5× 598 1.2× 323 0.7× 291 1.2× 35 2.0k
Chaouki Aouiti Tunisia 31 2.1k 2.6× 957 1.4× 963 2.0× 268 0.6× 408 1.8× 114 2.6k
Gani Stamov Bulgaria 23 871 1.1× 561 0.8× 314 0.6× 718 1.5× 496 2.1× 117 2.0k
Baotong Cui China 27 1.5k 2.0× 723 1.1× 645 1.3× 111 0.2× 847 3.6× 178 2.2k
Juebang Yu China 20 998 1.3× 855 1.3× 389 0.8× 173 0.4× 167 0.7× 106 1.6k
Haibo Bao China 27 2.0k 2.6× 1.2k 1.8× 605 1.3× 184 0.4× 380 1.6× 79 2.4k

Countries citing papers authored by Éva Kaslik

Since Specialization
Citations

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

Fields of papers citing papers by Éva Kaslik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Kaslik

This figure shows the co-authorship network connecting the top 25 collaborators of Éva Kaslik. A scholar is included among the top collaborators of Éva Kaslik 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 Éva Kaslik. Éva Kaslik 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.
Girejko, Ewa, et al.. (2025). Higher Mathematics Education and AI Prompt Patterns: Examples from Selected University Classes. Applied Sciences. 16(1). 339–339.
2.
Rǎdulescu, Anca, et al.. (2025). Fractal geometry predicts dynamic differences in structural and functional connectomes. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(9).
3.
Kaslik, Éva, et al.. (2025). Simulating neuronal dynamics in fractional adaptive exponential integrate-and-fire models. Fractional Calculus and Applied Analysis. 28(2). 529–558.
4.
Mondal, Argha, et al.. (2024). Emergent dynamics in fractional-order Wilson–Cowan neural network systems. Chaos Solitons & Fractals. 181. 114687–114687. 3 indexed citations
5.
Kaslik, Éva, et al.. (2024). Dynamics of a pituitary–adrenal model with distributed time delays. Communications in Nonlinear Science and Numerical Simulation. 140. 108363–108363. 1 indexed citations
6.
Kaslik, Éva, et al.. (2023). Stability and bifurcations in scalar differential equations with a general distributed delay. Applied Mathematics and Computation. 454. 128100–128100.
7.
Mondal, Argha, et al.. (2023). Diverse electrical responses in a network of fractional-order conductance-based excitable Morris-Lecar systems. Scientific Reports. 13(1). 8215–8215. 7 indexed citations
8.
Kaslik, Éva, et al.. (2022). "A dynamic Cournot mixed oligopoly model with time delay for competitors". Carpathian Journal of Mathematics. 38(3). 681–690. 1 indexed citations
9.
Popa, Călin-Adrian & Éva Kaslik. (2017). Multistability and multiperiodicity in impulsive hybrid quaternion-valued neural networks with mixed delays. Neural Networks. 99. 1–18. 49 indexed citations
10.
Kaslik, Éva, et al.. (2017). Dynamics of complex-valued fractional-order neural networks. Neural Networks. 89. 39–49. 56 indexed citations
11.
Kaslik, Éva, et al.. (2012). Cryptography using chaotic discrete-time delayed Hopfield neural networks. Journal | MESA. 3(1). 29–37. 1 indexed citations
12.
Kaslik, Éva & Seenith Sivasundaram. (2012). Analytical and numerical methods for the stability analysis of linear fractional delay differential equations. Journal of Computational and Applied Mathematics. 236(16). 4027–4041. 77 indexed citations
13.
Kaslik, Éva & Seenith Sivasundaram. (2011). Impulsive hybrid discrete-time Hopfield neural networks with delays and multistability analysis. Neural Networks. 24(4). 370–377. 94 indexed citations
14.
Kaslik, Éva & Štefan Bálint. (2009). Complex and chaotic dynamics in a discrete-time-delayed Hopfield neural network with ring architecture. Neural Networks. 22(10). 1411–1418. 43 indexed citations
15.
Kaslik, Éva, et al.. (2009). Existence of oscillatory solutions along the path of longitudinal flight equilibriums of an unmanned aircraft, when the automatic flight control system fails. Journal of Mathematical Analysis and Applications. 363(2). 366–382. 7 indexed citations
16.
Kaslik, Éva & Štefan Bálint. (2007). On the steady states of the general system of differential equations governing the movement of ALFLEX. Nonlinear studies. 14(3). 261–268. 1 indexed citations
17.
Kaslik, Éva, et al.. (2005). On the controllability of the continuous-time Hopfield-type neural networks. 8 pp.–8 pp.. 2 indexed citations
18.
Kaslik, Éva, et al.. (2004). The controllability of the "path capture" and "steady descent" flight of ALF LEX. Nonlinear studies. 11(4). 674–690. 3 indexed citations
19.
Kaslik, Éva, et al.. (2004). On the controllability of the roll rate of the ALFLEX reentry vehicle. Nonlinear studies. 11(4). 543–564. 3 indexed citations
20.
Kaslik, Éva, et al.. (2003). Approximation of the domain of attraction of an asymptotically stable fixed point of a first order analytical system of difference equations. Nonlinear studies. 10(2). 103–112. 2 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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