Federico Massaioli

1.9k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Federico Massaioli is a scholar working on Computational Mechanics, Computer Networks and Communications and Environmental Engineering. According to data from OpenAlex, Federico Massaioli has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 3 papers in Computer Networks and Communications and 3 papers in Environmental Engineering. Recurrent topics in Federico Massaioli's work include Fluid Dynamics and Turbulent Flows (9 papers), Lattice Boltzmann Simulation Studies (4 papers) and Wind and Air Flow Studies (3 papers). Federico Massaioli is often cited by papers focused on Fluid Dynamics and Turbulent Flows (9 papers), Lattice Boltzmann Simulation Studies (4 papers) and Wind and Air Flow Studies (3 papers). Federico Massaioli collaborates with scholars based in Italy, United States and France. Federico Massaioli's co-authors include Sauro Succi, Roberto Benzi, R. Tripiccione, S. Ciliberto, C. Baudet, Guansong Zhang, Nawal Copty, A. Duran, Eduard Ayguadé and Yuan Lin and has published in prestigious journals such as Physics of Fluids, Europhysics Letters (EPL) and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Federico Massaioli

15 papers receiving 1.2k citations

Hit Papers

Extended self-similarity ... 1993 2026 2004 2015 1993 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Extended self-similarity in turbulent flows
    1993 737 citations Roberto Benzi, S. Ciliberto et al. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Massaioli Italy 10 725 269 254 209 199 15 1.3k
Atsuya Uno Japan 16 682 0.9× 177 0.7× 247 1.0× 149 0.7× 121 0.6× 34 1.3k
Jason Hickey United States 14 128 0.2× 196 0.7× 94 0.4× 311 1.5× 119 0.6× 55 1.5k
Richard B. Pelz United States 17 678 0.9× 102 0.4× 119 0.5× 41 0.2× 11 0.1× 41 1.0k
Ravi Samtaney Saudi Arabia 29 1.8k 2.5× 82 0.3× 272 1.1× 81 0.4× 45 0.2× 129 2.8k
Massimiliano Fatica United States 21 801 1.1× 72 0.3× 210 0.8× 241 1.2× 258 1.3× 47 1.4k
G. S. Patterson United States 10 746 1.0× 85 0.3× 236 0.9× 34 0.2× 18 0.1× 16 1.1k
Rodrigo R. Paz Argentina 13 338 0.5× 28 0.1× 118 0.5× 106 0.5× 85 0.4× 37 1.1k
Clive Temperton United Kingdom 18 292 0.4× 406 1.5× 97 0.4× 35 0.2× 54 0.3× 36 1.2k
Brian Argrow United States 24 644 0.9× 271 1.0× 211 0.8× 236 1.1× 11 0.1× 124 1.9k
Allison H. Baker United States 17 274 0.4× 301 1.1× 34 0.1× 323 1.5× 230 1.2× 46 1.3k

Countries citing papers authored by Federico Massaioli

Since Specialization
Citations

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

Fields of papers citing papers by Federico Massaioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Massaioli

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

All Works

15 of 15 papers shown
1.
Chapman, Barbara, et al.. (2012). Proceedings of the 8th international conference on OpenMP in a Heterogeneous World. 1 indexed citations
2.
Ayguadé, Eduard, Nawal Copty, A. Duran, et al.. (2009). The Design of OpenMP Tasks. IEEE Transactions on Parallel and Distributed Systems. 20(3). 404–418. 240 indexed citations
3.
Gonnella, Giuseppe, et al.. (2008). A PARALLEL THERMAL LATTICE BOLTZMANN MODEL WITH FLUX LIMITERS FOR MICROSCALE FLOW. International Journal of Modern Physics C. 19(12). 1847–1861. 4 indexed citations
4.
Chapman, Barbara & Federico Massaioli. (2005). OpenMP. Parallel Computing. 31(10-12). 957–959. 5 indexed citations
5.
Massaioli, Federico, Filippo Castiglione, & Massimo Bernaschi. (2005). OpenMP parallelization of agent-based models. Parallel Computing. 31(10-12). 1066–1081. 21 indexed citations
6.
Amati, Giorgio, et al.. (2005). Turbulent thermal convection at high Rayleigh numbers for a Boussinesq fluid of constant Prandtl number. Physics of Fluids. 17(12). 58 indexed citations
7.
Riva, M., C. Neri, Fabio Bonaccorso, & Federico Massaioli. (2005). The integrated visualisation software for the ITER in vessel viewing system (IVVS). Fusion Engineering and Design. 74(1-4). 909–915. 1 indexed citations
8.
Benzi, Roberto, S. Ciliberto, R. Tripiccione, et al.. (1995). Reply to ‘‘Comment on ‘Extended self-similarity in turbulent flows’ ’’. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 51(3). 2672–2673. 1 indexed citations
9.
Benzi, Roberto, Federico Massaioli, Sauro Succi, & R. Tripiccione. (1994). Scaling Behaviour of the Velocity and Temperature Correlation Functions in 3D Convective Turbulence. Europhysics Letters (EPL). 28(4). 231–236. 10 indexed citations
10.
Benzi, Roberto, R. Tripiccione, Federico Massaioli, Sauro Succi, & S. Ciliberto. (1994). On the Scaling of the Velocity and Temperature Structure Functions in Rayleigh-Bénard Convection. Europhysics Letters (EPL). 25(5). 341–346. 41 indexed citations
11.
Massaioli, Federico, et al.. (1994). High-resolution lattice–Boltzmann computing on the IBM SP1 scalable parallel computer. Computers in Physics. 8(6). 705–711. 11 indexed citations
12.
Benzi, Roberto, S. Ciliberto, R. Tripiccione, et al.. (1993). Extended self-similarity in turbulent flows. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 48(1). R29–R32. 737 indexed citations breakdown →
13.
Bartoloni, A., S. Cabasino, Pier Stanislao Paolucci, et al.. (1993). LBE SIMULATIONS OF RAYLEIGH-BÉNARD CONVECTION ON THE APE100 PARALLEL PROCESSOR. International Journal of Modern Physics C. 4(5). 993–1006. 57 indexed citations
14.
Massaioli, Federico, Roberto Benzi, & Sauro Succi. (1993). Exponential Tails in Two-Dimensional Rayleigh-Bénard Convection. Europhysics Letters (EPL). 21(3). 305–310. 75 indexed citations
15.
Succi, Sauro, Roberto Benzi, & Federico Massaioli. (1993). A REVIEW OF THE LATTICE BOLTZMANN METHOD. International Journal of Modern Physics C. 4(2). 409–415. 14 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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