Matteo Frigo

12.0k total citations · 5 hit papers
43 papers, 7.4k citations indexed

About

Matteo Frigo is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Matteo Frigo has authored 43 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hardware and Architecture, 16 papers in Computer Networks and Communications and 16 papers in Computational Theory and Mathematics. Recurrent topics in Matteo Frigo's work include Parallel Computing and Optimization Techniques (20 papers), Advanced Data Storage Technologies (9 papers) and Numerical Methods and Algorithms (8 papers). Matteo Frigo is often cited by papers focused on Parallel Computing and Optimization Techniques (20 papers), Advanced Data Storage Technologies (9 papers) and Numerical Methods and Algorithms (8 papers). Matteo Frigo collaborates with scholars based in United States, Italy and China. Matteo Frigo's co-authors include Steven G. Johnson, Charles E. Leiserson, Keith H. Randall, Volker Strumpen, Aydın Buluç, Jeremy T. Fineman, John R. Gilbert, Robert D. Blumofe, Christopher F. Joerg and Massimiliano Ferronato and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Water Resources Research.

In The Last Decade

Matteo Frigo

42 papers receiving 6.9k citations

Hit Papers

The Design and Implementation of FFTW3 1998 2026 2007 2016 2005 2002 1998 2003 2009 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matteo Frigo United States 20 2.9k 2.6k 998 897 846 43 7.4k
Horst D. Simon United States 39 1.4k 0.5× 1.9k 0.7× 1.8k 1.8× 1.4k 1.5× 1.6k 1.9× 142 7.7k
William Gropp United States 45 4.7k 1.6× 5.8k 2.3× 845 0.8× 958 1.1× 661 0.8× 237 9.5k
Samuel Williams United States 28 3.3k 1.1× 2.9k 1.1× 688 0.7× 910 1.0× 464 0.5× 135 5.4k
Alan D. George United States 36 2.0k 0.7× 2.3k 0.9× 875 0.9× 2.2k 2.5× 2.6k 3.1× 343 7.5k
Marc Snir United States 43 3.5k 1.2× 4.8k 1.9× 1.4k 1.4× 942 1.1× 1.2k 1.4× 181 7.3k
David Luebke United States 42 1.4k 0.5× 1.5k 0.6× 799 0.8× 885 1.0× 336 0.4× 121 9.3k
Michael T. Heath United States 31 990 0.3× 1.2k 0.5× 668 0.7× 700 0.8× 1.1k 1.3× 96 6.7k
Timothy A. Davis United States 28 1.8k 0.6× 1.5k 0.6× 923 0.9× 1.6k 1.8× 2.7k 3.2× 108 8.5k
Ian Buck United States 21 1.9k 0.6× 1.8k 0.7× 805 0.8× 365 0.4× 294 0.3× 28 5.1k
John Shalf United States 37 3.1k 1.1× 3.9k 1.5× 660 0.7× 1.2k 1.4× 314 0.4× 172 6.0k

Countries citing papers authored by Matteo Frigo

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Frigo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Frigo

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Frigo. A scholar is included among the top collaborators of Matteo Frigo 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 Matteo Frigo. Matteo Frigo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Frigo, Matteo, et al.. (2023). A GPU-Accelerated Simulator for Challenging Extreme-Scale Geomechanical Models. SPE Reservoir Simulation Conference. 1 indexed citations
2.
Li, Yueting, Pietro Teatini, Jun Yu, et al.. (2021). Aseismic Multifissure Modeling in Unfaulted Heavily Pumped Basins: Mechanisms and Applications. Water Resources Research. 57(10). 6 indexed citations
3.
Ferronato, Massimiliano, Matteo Frigo, Carlo Janna, et al.. (2021). A novel methodological approach for land subsidence prediction through data assimilation techniques. Computational Geosciences. 25(5). 1731–1750. 13 indexed citations
4.
Frigo, Matteo, et al.. (2021). Chronos: A general purpose classical amg solver for high performance computing. Padua Research Archive (University of Padova). 5 indexed citations
5.
Frigo, Matteo, Nicola Castelletto, & Massimiliano Ferronato. (2021). Enhanced relaxed physical factorization preconditioner for coupled poromechanics. Computers & Mathematics with Applications. 106. 27–39. 2 indexed citations
6.
Frigo, Matteo, Nicola Castelletto, Massimiliano Ferronato, & Joshua A. White. (2020). Efficient solvers for hybridized three-field mixed finite element coupled poromechanics. Computers & Mathematics with Applications. 91. 36–52. 19 indexed citations
7.
Ferronato, Massimiliano, et al.. (2020). On the radioactive marker technique for in-situ compaction measurements: a critical review. SHILAP Revista de lepidopterología. 382. 83–87. 2 indexed citations
8.
Ferronato, Massimiliano, Matteo Frigo, Pietro Teatini, et al.. (2020). Blending measurements and numerical models: a novel methodological approach for land subsidence prediction with uncertainty quantification. SHILAP Revista de lepidopterología. 382. 457–462. 1 indexed citations
9.
Kuszmaul, Bradley C., et al.. (2020). Everyone Loves File. ACM Transactions on Storage. 16(1). 1–29. 2 indexed citations
10.
Ferronato, Massimiliano, Matteo Frigo, Carlo Janna, et al.. (2019). Uncertainty Quantification and Reduction Through Data Assimilation Approaches for the Geomechanical Modeling of Hydrocarbon Reservoirs. Research Padua Archive (University of Padua). 4 indexed citations
11.
Teatini, Pietro, Massimiliano Ferronato, Andrea Franceschini, et al.. (2019). Gas Storage in Compartmentalized Reservoirs: A Numerical Investigation on Possible “Unexpected” Fault Activation. Research Padua Archive (University of Padua). 2 indexed citations
12.
Kuszmaul, Bradley C., et al.. (2019). Everyone Loves File: File Storage Service ({FSS}) in Oracle Cloud Infrastructure. USENIX Annual Technical Conference. 15–32. 5 indexed citations
13.
Frigo, Matteo, Massimiliano Ferronato, Jun Yu, et al.. (2019). A Parametric Numerical Analysis of Factors Controlling Ground Ruptures Caused by Groundwater Pumping. Water Resources Research. 55(11). 9500–9518. 11 indexed citations
14.
Frigo, Matteo & Steven G. Johnson. (2012). FFTW: Fastest Fourier Transform in the West. Astrophysics Source Code Library. 33 indexed citations
15.
Buluç, Aydın, Jeremy T. Fineman, Matteo Frigo, John R. Gilbert, & Charles E. Leiserson. (2009). Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks. 233–244. 266 indexed citations breakdown →
16.
Frigo, Matteo & Volker Strumpen. (2007). The memory behavior of cache oblivious stencil computations. The Journal of Supercomputing. 39(2). 93–112. 39 indexed citations
17.
Frigo, Matteo, et al.. (2003). Cache-oblivious algorithms. 285–297. 423 indexed citations breakdown →
18.
Frigo, Matteo. (1999). A fast Fourier transform compiler. 169–180. 288 indexed citations
19.
Frigo, Matteo, Charles E. Leiserson, & Keith H. Randall. (1998). The implementation of the Cilk-5 multithreaded language. 212–223. 786 indexed citations breakdown →
20.
Blumofe, Robert D., Matteo Frigo, Christopher F. Joerg, Charles E. Leiserson, & Keith H. Randall. (1996). An analysis of dag-consistent distributed shared-memory algorithms. 297–308. 85 indexed citations

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.

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