Luca Dieci

94 papers and 1.8k indexed citations i.

About

Luca Dieci is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Luca Dieci has authored 94 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistical and Nonlinear Physics, 36 papers in Computational Theory and Mathematics and 35 papers in Numerical Analysis. Recurrent topics in Luca Dieci’s work include Quantum chaos and dynamical systems (36 papers), Matrix Theory and Algorithms (34 papers) and Numerical methods for differential equations (30 papers). Luca Dieci is often cited by papers focused on Quantum chaos and dynamical systems (36 papers), Matrix Theory and Algorithms (34 papers) and Numerical methods for differential equations (30 papers). Luca Dieci collaborates with scholars based in United States, Italy and Canada. Luca Dieci's co-authors include Erik S. Van Vleck, L. Lopez, Robert D. Russell, Timo Eirola, Jens Lorenz, Mark J. Friedman, M. R. Osborne, Benedetta Morini, Jann–Long Chern and James Demmel and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Computational Physics and Automatica.

In The Last Decade

Co-authorship network of co-authors of Luca Dieci i

Fields of papers citing papers by Luca Dieci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luca Dieci

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025