Massimiliano Fatica

2.3k total citations
47 papers, 1.4k citations indexed

About

Massimiliano Fatica is a scholar working on Computational Mechanics, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Massimiliano Fatica has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Mechanics, 13 papers in Hardware and Architecture and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Massimiliano Fatica's work include Fluid Dynamics and Turbulent Flows (17 papers), Parallel Computing and Optimization Techniques (13 papers) and Graph Theory and Algorithms (6 papers). Massimiliano Fatica is often cited by papers focused on Fluid Dynamics and Turbulent Flows (17 papers), Parallel Computing and Optimization Techniques (13 papers) and Graph Theory and Algorithms (6 papers). Massimiliano Fatica collaborates with scholars based in United States, Italy and United Kingdom. Massimiliano Fatica's co-authors include Paolo Orlandi, Mauro Bisson, Everett Phillips, Roberto Verzicco, Joshua Romero, Massimo Bernaschi, Parviz Moin, Gianluca Iaccarino, Simone Melchionna and Hans-Jakob Kaltenbach and has published in prestigious journals such as Journal of Fluid Mechanics, AIChE Journal and AIAA Journal.

In The Last Decade

Massimiliano Fatica

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimiliano Fatica United States 21 801 258 241 213 210 47 1.4k
Jamaludin Mohd‐Yusof United States 13 1.5k 1.9× 141 0.5× 145 0.6× 257 1.2× 162 0.8× 26 2.0k
Robert M. Kirby United States 23 952 1.2× 113 0.4× 97 0.4× 151 0.7× 142 0.7× 70 1.8k
Roscoe Bartlett United States 12 377 0.5× 172 0.7× 192 0.8× 144 0.7× 105 0.5× 25 1.4k
Eric Phipps United States 15 449 0.6× 181 0.7× 191 0.8× 79 0.4× 77 0.4× 43 1.2k
Federico Massaioli Italy 10 725 0.9× 199 0.8× 209 0.9× 61 0.3× 254 1.2× 15 1.3k
Patrick Amestoy France 8 678 0.8× 190 0.7× 119 0.5× 103 0.5× 67 0.3× 14 1.8k
Hemanth Kolla United States 26 1.3k 1.6× 234 0.9× 440 1.8× 267 1.3× 127 0.6× 96 2.0k
Ray Grout United States 25 835 1.0× 187 0.7× 363 1.5× 226 1.1× 108 0.5× 56 1.6k
Jacko Koster United Kingdom 4 723 0.9× 190 0.7× 121 0.5× 126 0.6× 58 0.3× 7 1.8k
Barry Smith United States 22 919 1.1× 245 0.9× 210 0.9× 141 0.7× 81 0.4× 69 1.6k

Countries citing papers authored by Massimiliano Fatica

Since Specialization
Citations

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

Fields of papers citing papers by Massimiliano Fatica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimiliano Fatica

This figure shows the co-authorship network connecting the top 25 collaborators of Massimiliano Fatica. A scholar is included among the top collaborators of Massimiliano Fatica 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 Massimiliano Fatica. Massimiliano Fatica 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.
Bisson, Mauro, et al.. (2025). Universal exotic dynamics in critical mesoscopic systems: Simulating the square root of Avogadro’s number of spins. Physical Review Research. 7(3). 1 indexed citations
2.
Bisson, Mauro, et al.. (2025). Massive-scale simulations of 2D Ising and Blume-Capel models on rack-scale multi-GPU systems. Computer Physics Communications. 315. 109690–109690. 1 indexed citations
3.
Romero, Joshua, Pedro Costa, & Massimiliano Fatica. (2022). Distributed-memory simulations of turbulent flows on modern GPU systems using an adaptive pencil decomposition library. 1–11. 9 indexed citations
4.
Viola, Francesco, Vamsi Spandan, Joshua Romero, et al.. (2021). FSEI-GPU: GPU accelerated simulations of the fluid–structure–electrophysiology interaction in the left heart. Computer Physics Communications. 273. 108248–108248. 37 indexed citations
5.
Pirozzoli, Sergio, Joshua Romero, Massimiliano Fatica, Roberto Verzicco, & Paolo Orlandi. (2021). One-point statistics for turbulent pipe flow up to. Journal of Fluid Mechanics. 926. 76 indexed citations
6.
Costa, Pedro, et al.. (2020). GPU acceleration of CaNS for massively-parallel direct numerical simulations of canonical fluid flows. Computers & Mathematics with Applications. 81. 502–511. 34 indexed citations
7.
Romero, Joshua, Mauro Bisson, Massimiliano Fatica, & Massimo Bernaschi. (2020). High performance implementations of the 2D Ising model on GPUs. Computer Physics Communications. 256. 107473–107473. 19 indexed citations
8.
Kurth, Thorsten, Sean Treichler, Joshua Romero, et al.. (2018). Exascale deep learning for climate analytics. arXiv (Cornell University). 51. 29 indexed citations
9.
Bisson, Mauro, Everett Phillips, & Massimiliano Fatica. (2016). A CUDA implementation of the pagerank pipeline benchmark. 6. 1–7. 9 indexed citations
10.
Bernaschi, Massimo, Mauro Bisson, & Massimiliano Fatica. (2015). Colloquium: Large scale simulations on GPU clusters. The European Physical Journal B. 88(6). 2 indexed citations
11.
Fatica, Massimiliano & Everett Phillips. (2014). Synthetic aperture radar imaging on a CUDA-enabled mobile platform. 1–5. 10 indexed citations
12.
Fatica, Massimiliano, et al.. (2013). CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming. 40 indexed citations
13.
Fatica, Massimiliano & Everett Phillips. (2013). Pricing American options with least squares Monte Carlo on GPUs. 1–6. 19 indexed citations
14.
Bernaschi, Massimo, Massimiliano Fatica, Giorgio Parisi, & Leonardo Parisi. (2012). Multi-GPU codes for spin systems simulations. Computer Physics Communications. 183(7). 1416–1421. 11 indexed citations
15.
Bisson, Mauro, et al.. (2012). Petaflop hydrokinetic simulations of complex flows on massive GPU clusters. Computer Physics Communications. 184(2). 329–341. 26 indexed citations
16.
Fatica, Massimiliano. (2009). Accelerating linpack with CUDA on heterogenous clusters. 46–51. 106 indexed citations
17.
Reynolds, W. C., Juan J. Alonso, & Massimiliano Fatica. (2003). Aircraft Gas Turbine Engine Simulations. 10 indexed citations
18.
Kaltenbach, Hans-Jakob, Massimiliano Fatica, Rajat Mittal, Thomas Lund, & Parviz Moin. (1999). Study of flow in a planar asymmetric diffuser using large-eddy simulation. Journal of Fluid Mechanics. 390. 151–185. 123 indexed citations
19.
Fatica, Massimiliano & Rajat Mittal. (1996). Progress in the Large-Eddy Simulation of an Asymmetric Plane Diffuser. NASA Technical Reports Server (NASA). 1 indexed citations
20.
Fatica, Massimiliano, Roberto Verzicco, & Paolo Orlandi. (1994). Rib vortices in round jets: Direct and large eddy simulation. In AGARD. 1 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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