Bálint Kaszás

27 papers and 307 indexed citations i.

About

Bálint Kaszás is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Global and Planetary Change. According to data from OpenAlex, Bálint Kaszás has authored 27 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 7 papers in Computational Mechanics and 5 papers in Global and Planetary Change. Recurrent topics in Bálint Kaszás’s work include Model Reduction and Neural Networks (7 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Ecosystem dynamics and resilience (3 papers). Bálint Kaszás is often cited by papers focused on Model Reduction and Neural Networks (7 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Ecosystem dynamics and resilience (3 papers). Bálint Kaszás collaborates with scholars based in Hungary, Switzerland and Germany. Bálint Kaszás's co-authors include Tamás Tél, Ulrike Feudel, George Haller, Tímea Haszpra, Mátyás Herein, Gábor Drótos, János Kállai, Zsuzsanna Aschermann, Norbert Kovács and Zsuzsanna Kerekes and has published in prestigious journals such as Journal of Fluid Mechanics, Scientific Reports and Journal of Statistical Physics.

In The Last Decade

Co-authorship network of co-authors of Bálint Kaszás i

Fields of papers citing papers by Bálint Kaszás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bálint Kaszás

Since Specialization
Citations

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