Mathieu Faverge
- Hardware and Architecture top 2%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Co-authors
- Jack DongarraThomas HéraultAnthony DanalisAurélien BouteillerGeorge BosilcaHatem LtaiefPiotr ŁuszczekJakub Kurzak
- Topics
- Parallel Computing and Optimization Techniques (22 papers)Distributed and Parallel Computing Systems (13 papers)Matrix Theory and Algorithms (8 papers)
- Journals
- IEEE Transactions on Parallel and Distributed SystemsSIAM Journal on Matrix Analysis and ApplicationsJournal of Parallel and Distributed Computing
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Mathieu Faverge
23 papers receiving 472 citations
Peers
Comparison fields: 5 of 55
- Hardware and Architecture 389
- Computer Networks and Communications 348
- Information Systems 118
- Computational Theory and Mathematics 79
- Artificial Intelligence 49
Countries citing papers authored by Mathieu Faverge
This map shows the geographic impact of Mathieu Faverge'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 Mathieu Faverge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Faverge more than expected).
Fields of papers citing papers by Mathieu Faverge
This network shows the impact of papers produced by Mathieu Faverge. 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 Mathieu Faverge. The network helps show where Mathieu Faverge may publish in the future.
Co-authorship network of co-authors of Mathieu Faverge
This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Faverge. A scholar is included among the top collaborators of Mathieu Faverge 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 Mathieu Faverge. Mathieu Faverge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 46 | |
| 10 | 9 | |
| 11 | Stratégie de renumérotation pour optimiser la granularité des calculs dans la résolution des systèmes linéaires creux | 4 |
| 12 | 6 | |
| 13 | 21 | |
| 14 | 20 | |
| 15 | 27 | |
| 16 | 2 | |
| 17 | 73 | |
| 18 | 16 | |
| 19 | Dynamic scheduling for sparse direct solver on NUMA architectures | 2 |
| 20 | A NUMA Aware Scheduler for a Parallel Sparse Direct Solver | 1 |
About Mathieu Faverge
Mathieu Faverge is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 25 papers that have together received 491 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Distributed and Parallel Computing Systems (13 papers) and Matrix Theory and Algorithms (8 papers). The work is most often cited by research in Hardware and Architecture (389 citations), Computational Mathematics (16 citations) and Computer Networks and Communications (348 citations). Mathieu Faverge has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jack Dongarra, Thomas Hérault, Anthony Danalis, Aurélien Bouteiller, George Bosilca, Hatem Ltaief, Piotr Łuszczek, Jakub Kurzak, Emmanuel Agullo and Samuel Thibault. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, SIAM Journal on Matrix Analysis and Applications and Journal of Parallel and Distributed Computing.
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.