Éva Kaslik

62 papers and 1.3k indexed citations i.

About

Éva Kaslik is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Computer Networks and Communications. According to data from OpenAlex, Éva Kaslik has authored 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistical and Nonlinear Physics, 23 papers in Modeling and Simulation and 22 papers in Computer Networks and Communications. Recurrent topics in Éva Kaslik’s work include Fractional Differential Equations Solutions (22 papers), stochastic dynamics and bifurcation (22 papers) and Neural Networks Stability and Synchronization (17 papers). Éva Kaslik is often cited by papers focused on Fractional Differential Equations Solutions (22 papers), stochastic dynamics and bifurcation (22 papers) and Neural Networks Stability and Synchronization (17 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, Marina Popolizio, Štefan Bálint, Alain Grigis, Anca Rǎdulescu, S. Sivasundaram, Dorota Mozyrska and Argha Mondal and has published in prestigious journals such as Scientific Reports, Journal of Mathematical Analysis and Applications and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Éva Kaslik i

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.

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).

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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