Dante Kalise

46 papers and 677 indexed citations i.

About

Dante Kalise is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Numerical Analysis. According to data from OpenAlex, Dante Kalise has authored 46 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 20 papers in Statistical and Nonlinear Physics and 9 papers in Numerical Analysis. Recurrent topics in Dante Kalise’s work include Model Reduction and Neural Networks (14 papers), Stability and Controllability of Differential Equations (8 papers) and Numerical methods for differential equations (8 papers). Dante Kalise is often cited by papers focused on Model Reduction and Neural Networks (14 papers), Stability and Controllability of Differential Equations (8 papers) and Numerical methods for differential equations (8 papers). Dante Kalise collaborates with scholars based in United Kingdom, Austria and Germany. Dante Kalise's co-authors include Karl Kunisch, Giacomo Albi, Ralph Kennel, Esteban Fuentes, Massimo Fornasier, Young-Pil Choi, José Rodríguez, Maurizio Falcone, Sergey Dolgov and Alessandro Alla and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Industrial Electronics and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Dante Kalise i

Fields of papers citing papers by Dante Kalise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dante Kalise

Since Specialization
Citations

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