Bálint Kaszás

52 total papers · 464 total citations
27 papers, 296 citations indexed

About

Bálint Kaszás is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Molecular Biology. According to data from OpenAlex, Bálint Kaszás has authored 27 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 6 papers in Computational Mechanics and 4 papers in Molecular Biology. Recurrent topics in Bálint Kaszás's work include Model Reduction and Neural Networks (5 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Ecosystem dynamics and resilience (3 papers). Bálint Kaszás is often cited by papers focused on Model Reduction and Neural Networks (5 papers), Fluid Dynamics and Turbulent Flows (5 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, Mátyás Herein, Tímea Haszpra, Zsuzsanna Kerekes, Sámuel Komoly, Kázmér Karádi, József Janszky and Norbert Kovács and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.

In The Last Decade

Bálint Kaszás

24 papers receiving 289 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bálint Kaszás 88 81 54 41 29 27 296
Loren Enochson 20 0.2× 14 0.2× 4 0.1× 11 0.3× 25 0.9× 13 254
Amelie Schäfer 9 0.1× 70 0.9× 17 0.3× 5 0.1× 4 0.1× 10 336
Stefano Sello 27 0.3× 44 0.5× 22 0.4× 9 0.2× 21 0.7× 17 361
E. H. Lockwood 14 0.2× 16 0.2× 3 0.1× 17 0.4× 12 0.4× 21 302
Nan Li 14 0.2× 18 0.2× 4 0.1× 16 0.4× 19 0.7× 29 310
Franz Hamilton 40 0.5× 76 0.9× 19 0.5× 38 1.3× 16 272
Andrea Tateo 36 0.4× 12 0.1× 7 0.1× 2 0.0× 9 0.3× 18 274
Yong W. Kim 5 0.1× 9 0.1× 38 0.7× 4 0.1× 16 0.6× 30 338
Alberto Sorrentino 26 0.3× 18 0.2× 4 0.1× 9 0.2× 22 0.8× 31 312
Kapil M. S. Bajaj 64 0.7× 26 0.3× 118 2.9× 13 0.4× 16 306

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).

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.

Co-authorship network of co-authors of Bálint Kaszás

This figure shows the co-authorship network connecting the top 25 collaborators of Bálint Kaszás. A scholar is included among the top collaborators of Bálint Kaszás 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 Bálint Kaszás. Bálint Kaszás is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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