Laura Grigori
- Computational Mathematics top 1%
- Tensor decomposition and applications 9
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 16
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- Matrix Theory and Algorithms 45
- Numerical Analysis top 10%
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- Interconnection Networks and Systems 16
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- Advanced Numerical Methods in Computational Mathematics 19
- Sparse and Compressive Sensing Techniques 10
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- Electromagnetic Scattering and Analysis 18
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- Stochastic Gradient Optimization Techniques 9
- Co-authors
- James DemmelJulien LangouMark Frederick HoemmenHua XiangMing GuXiaoye Sherry LiOded SchwartzGrey Ballard
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Computational Physics (1 paper)Astronomy and Astrophysics (1 paper)
- Partner nations
- FranceUnited StatesChina
In The Last Decade
Laura Grigori
67 papers receiving 763 citations
Peers
Comparison fields: 5 of 62
- Computational Mathematics 97
- Hardware and Architecture 314
- Computational Theory and Mathematics 408
- Numerical Analysis 85
- Computer Networks and Communications 239
Countries citing papers authored by Laura Grigori
This map shows the geographic impact of Laura Grigori'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 Laura Grigori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Grigori more than expected).
Fields of papers citing papers by Laura Grigori
This network shows the impact of papers produced by Laura Grigori. 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 Laura Grigori. The network helps show where Laura Grigori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura Grigori, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 8 | |
| 10 | Solveurs linéaires scalables basés sur des sous--espaces de Krylov Élargis avec réduction dynamique des directions de recherche | 2018 | 2 |
| 11 | 2016 | 2 | |
| 12 | 2014 | 2 | |
| 13 | 2013 | 1 | |
| 14 | Spherical Harmonic Transforms with S 2 HAT (Scalable Spherical Harmonic Transform) Library | 2012 | 1 |
| 15 | Spherical harmonic transform on heterogeneous architectures using hybrid programming | 2011 | 0 |
| 16 | 2010 | 0 | |
| 17 | 2010 | 0 | |
| 18 | 2008 | 29 | |
| 19 | 2002 | 6 | |
| 20 | 1999 | 2 |
About Laura Grigori
Laura Grigori is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Hardware and Architecture, having authored 75 papers that have together received 823 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (45 papers), Advanced Numerical Methods in Computational Mathematics (19 papers), Electromagnetic Scattering and Analysis (18 papers), Interconnection Networks and Systems (16 papers), Parallel Computing and Optimization Techniques (16 papers), Sparse and Compressive Sensing Techniques (10 papers), Tensor decomposition and applications (9 papers) and Stochastic Gradient Optimization Techniques (9 papers). The work is most often cited by research in Computational Mathematics (97 citations), Hardware and Architecture (314 citations) and Computational Theory and Mathematics (408 citations). Laura Grigori has collaborated with scholars based in France, United States and China. Frequent co-authors include James Demmel, Julien Langou, Mark Frederick Hoemmen, Hua Xiang, Ming Gu, Xiaoye Sherry Li, Oded Schwartz, Grey Ballard, Samuel Williams and Sivan Toledo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and Astronomy and Astrophysics.
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.