Mario Arioli

18 papers and 293 indexed citations i.

About

Mario Arioli is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Mario Arioli has authored 18 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 10 papers in Numerical Analysis and 8 papers in Computational Mechanics. Recurrent topics in Mario Arioli’s work include Matrix Theory and Algorithms (13 papers), Advanced Optimization Algorithms Research (9 papers) and Advanced Numerical Methods in Computational Mathematics (7 papers). Mario Arioli is often cited by papers focused on Matrix Theory and Algorithms (13 papers), Advanced Optimization Algorithms Research (9 papers) and Advanced Numerical Methods in Computational Mathematics (7 papers). Mario Arioli collaborates with scholars based in United Kingdom, France and Germany. Mario Arioli's co-authors include Iain Duff, Daniel Ruiz, Daniel Loghin, Gianmarco Manzini, Michele Benzi, Serge Gratton, Marc Baboulin, Emmanuil H. Georgoulis, Zdeněk Strakoš and Jörg Liesen and has published in prestigious journals such as SIAM Journal on Numerical Analysis, SIAM Journal on Scientific Computing and Linear Algebra and its Applications.

In The Last Decade

Co-authorship network of co-authors of Mario Arioli i

Fields of papers citing papers by Mario Arioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Arioli

Since Specialization
Citations

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