Éva Kaslik
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 2%
- Modeling and Simulation top 0.5%
- Control and Systems Engineering top 5%
- Co-authors
- Seenith SivasundaramRoberto GarrappaCălin-Adrian PopaŠtefan BálintMarina PopolizioAlain GrigisS. SivasundaramArgha Mondal
- Topics
- stochastic dynamics and bifurcation (22 papers)Neural Networks Stability and Synchronization (21 papers)Fractional Differential Equations Solutions (20 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- RomaniaUnited StatesFrance
In The Last Decade
Éva Kaslik
59 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 781
- Statistical and Nonlinear Physics 675
- Artificial Intelligence 484
- Modeling and Simulation 475
- Control and Systems Engineering 233
Countries citing papers authored by Éva Kaslik
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 49 | |
| 10 | 56 | |
| 11 | Cryptography using chaotic discrete-time delayed Hopfield neural networks | 1 |
| 12 | 77 | |
| 13 | 94 | |
| 14 | 43 | |
| 15 | 7 | |
| 16 | On the steady states of the general system of differential equations governing the movement of ALFLEX | 1 |
| 17 | 2 | |
| 18 | The controllability of the "path capture" and "steady descent" flight of ALF LEX | 3 |
| 19 | On the controllability of the roll rate of the ALFLEX reentry vehicle | 3 |
| 20 | Approximation of the domain of attraction of an asymptotically stable fixed point of a first order analytical system of difference equations | 2 |
About Éva Kaslik
Éva Kaslik is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Numerical Analysis, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (22 papers), Neural Networks Stability and Synchronization (21 papers) and Fractional Differential Equations Solutions (20 papers). The work is most often cited by research in Modeling and Simulation (475 citations), Statistical and Nonlinear Physics (675 citations) and Computer Networks and Communications (781 citations). Éva Kaslik has collaborated with scholars based in Romania, United States and France. Frequent 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. Their work appears in journals such as Scientific Reports, Neural Networks and Journal of Mathematical Analysis and Applications.
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.