Mario Arioli
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 5%
- Computational Mechanics top 10%
- Atomic and Molecular Physics, and Optics
- Mechanics of Materials
- Co-authors
- Iain DuffDaniel RuizDaniel LoghinMichele BenziGianmarco ManziniDominique OrbanSerge GrattonMarc Baboulin
- Topics
- Matrix Theory and Algorithms (12 papers)Advanced Optimization Algorithms Research (7 papers)Advanced Numerical Methods in Computational Mathematics (7 papers)
- Journals
- SIAM Journal on Numerical AnalysisSIAM Journal on Scientific ComputingLinear Algebra and its Applications
- Partner nations
- United KingdomFranceItaly
In The Last Decade
Mario Arioli
18 papers receiving 251 citations
Peers
Comparison fields: 5 of 42
- Computational Theory and Mathematics 207
- Numerical Analysis 148
- Computational Mechanics 137
- Atomic and Molecular Physics, and Optics 51
- Mechanics of Materials 31
Countries citing papers authored by Mario Arioli
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).
Fields of papers citing papers by Mario Arioli
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.
Co-authorship network of co-authors of Mario Arioli
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Arioli. A scholar is included among the top collaborators of Mario Arioli 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 Mario Arioli. Mario Arioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 24 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | Iterative Methods for Symmetric Quasi-Definite Linear Systems. Part I: Theory | 5 |
| 6 | 23 | |
| 7 | 23 | |
| 8 | 31 | |
| 9 | 26 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 14 | |
| 13 | A Parallel Scheduler for Block Iterative Solvers in Heterogeneous Computing Environments. | 2 |
| 14 | 19 | |
| 15 | 41 | |
| 16 | 1 | |
| 17 | 38 | |
| 18 | Techniques for Accelerating the Block Cimmino Method | 2 |
About Mario Arioli
Mario Arioli is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 18 papers that have together received 294 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (12 papers), Advanced Optimization Algorithms Research (7 papers) and Advanced Numerical Methods in Computational Mathematics (7 papers). The work is most often cited by research in Numerical Analysis (148 citations), Computational Theory and Mathematics (207 citations) and Computational Mechanics (137 citations). Mario Arioli has collaborated with scholars based in United Kingdom, France and Italy. Frequent co-authors include Iain Duff, Daniel Ruiz, Daniel Loghin, Michele Benzi, Gianmarco Manzini, Dominique Orban, Serge Gratton, Marc Baboulin, Emmanuil H. Georgoulis and Jörg Liesen. Their work appears in journals such as SIAM Journal on Numerical Analysis, SIAM Journal on Scientific Computing and Linear Algebra and its Applications.
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.