Eurika Kaiser

34 papers and 1.4k indexed citations i.

About

Eurika Kaiser is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Eurika Kaiser has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 17 papers in Computational Mechanics and 7 papers in Artificial Intelligence. Recurrent topics in Eurika Kaiser’s work include Model Reduction and Neural Networks (19 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Eurika Kaiser is often cited by papers focused on Model Reduction and Neural Networks (19 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Eurika Kaiser collaborates with scholars based in United States, France and Germany. Eurika Kaiser's co-authors include Steven L. Brunton, J. Nathan Kutz, Joshua L. Proctor, Bernd R. Noack, Marko Budišić, Bingni W. Brunton, Jan Östh, Siniša Krajnović, Andreas Spohn and Guillaume Daviller and has published in prestigious journals such as Nature Communications, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Eurika Kaiser i

Fields of papers citing papers by Eurika Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eurika Kaiser

Since Specialization
Citations

This map shows the geographic impact of Eurika Kaiser'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 Eurika Kaiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eurika Kaiser 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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2025