M. Arioli
- Computational Theory and Mathematics top 1%
- Numerical Analysis top 2%
- Computational Mechanics top 5%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Co-authors
- Iain DuffJames DemmelDaniel LoghinZdeněk StrakošVlastimil PtákAndy WathenSerge GrattonValeria Simoncini
- Topics
- Matrix Theory and Algorithms (22 papers)Advanced Optimization Algorithms Research (11 papers)Advanced Numerical Methods in Computational Mathematics (9 papers)
- Partner nations
- United KingdomItalyFrance
In The Last Decade
M. Arioli
29 papers receiving 500 citations
Peers
Comparison fields: 5 of 62
- Computational Theory and Mathematics 440
- Numerical Analysis 261
- Computational Mechanics 241
- Atomic and Molecular Physics, and Optics 130
- Electrical and Electronic Engineering 57
Countries citing papers authored by M. Arioli
This map shows the geographic impact of M. 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 M. Arioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Arioli more than expected).
Fields of papers citing papers by M. Arioli
This network shows the impact of papers produced by M. 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 M. Arioli. The network helps show where M. Arioli may publish in the future.
Co-authorship network of co-authors of M. Arioli
This figure shows the co-authorship network connecting the top 25 collaborators of M. Arioli. A scholar is included among the top collaborators of M. 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 M. Arioli. M. 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 | Preconditioning of linear least-squares problems by identifying basic variables | 2 |
| 2 | 13 | |
| 3 | Iterative Methods for Symmetric Quasi-Definite Linear Systems | 2 |
| 4 | 22 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 17 | |
| 8 | 21 | |
| 9 | A network programming approach in solving Darcy's equations by mixed finite-element methods. | 1 |
| 10 | 41 | |
| 11 | 32 | |
| 12 | 30 | |
| 13 | 13 | |
| 14 | 5 | |
| 15 | Computing a search direction for large scale linearly constrained nonlinear optimization calculations | 8 |
| 16 | 5 | |
| 17 | 107 | |
| 18 | 6 | |
| 19 | 7 | |
| 20 | 10 |
About M. Arioli
M. Arioli is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 29 papers that have together received 590 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (22 papers), Advanced Optimization Algorithms Research (11 papers) and Advanced Numerical Methods in Computational Mathematics (9 papers). The work is most often cited by research in Numerical Analysis (261 citations), Computational Theory and Mathematics (440 citations) and Computational Mathematics (13 citations). M. Arioli has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include Iain Duff, James Demmel, Daniel Loghin, Zdeněk Strakoš, Vlastimil Pták, Andy Wathen, Serge Gratton, Valeria Simoncini, Ilaria Perugia and Bruno Codenotti. Their work appears in journals such as Computer Physics Communications, SIAM Journal on Scientific Computing and Numerische Mathematik.
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.