Diego Rossinelli

1.0k total citations
31 papers, 697 citations indexed

About

Diego Rossinelli is a scholar working on Computational Mechanics, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Diego Rossinelli has authored 31 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 4 papers in Aerospace Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Diego Rossinelli's work include Lattice Boltzmann Simulation Studies (6 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Computational Fluid Dynamics and Aerodynamics (6 papers). Diego Rossinelli is often cited by papers focused on Lattice Boltzmann Simulation Studies (6 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Computational Fluid Dynamics and Aerodynamics (6 papers). Diego Rossinelli collaborates with scholars based in Switzerland, United States and Italy. Diego Rossinelli's co-authors include Petros Koumoutsakos, Michael Bergdorf, Babak Hejazialhosseini, Wim M. van Rees, Dmitry Alexeev, Alessandro Curioni, Siddhartha Verma, Guido Novati, Georges‐Henri Cottet and Philippe Chatelain and has published in prestigious journals such as Journal of Computational Physics, Chemical Physics Letters and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Diego Rossinelli

29 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Rossinelli Switzerland 15 444 163 58 56 48 31 697
Patrick E. Farrell United Kingdom 17 498 1.1× 203 1.2× 96 1.7× 85 1.5× 40 0.8× 80 1.2k
Andrew Nonaka United States 17 378 0.9× 128 0.8× 45 0.8× 24 0.4× 11 0.2× 49 1.0k
Richard D. Hornung United States 9 580 1.3× 148 0.9× 22 0.4× 64 1.1× 51 1.1× 13 911
Kristoffer G. van der Zee United Kingdom 16 709 1.6× 90 0.6× 101 1.7× 19 0.3× 15 0.3× 40 1.1k
Philippe Chatelain Belgium 24 1.1k 2.4× 714 4.4× 62 1.1× 106 1.9× 67 1.4× 113 1.7k
Eric Perlman United States 8 462 1.0× 97 0.6× 111 1.9× 101 1.8× 10 0.2× 14 752
K. Piechór Poland 6 387 0.9× 88 0.5× 42 0.7× 53 0.9× 7 0.1× 19 893
E. J. Watson United Kingdom 12 648 1.5× 113 0.7× 111 1.9× 72 1.3× 24 0.5× 22 1.1k
Georges‐Henri Cottet France 25 1.6k 3.5× 373 2.3× 69 1.2× 103 1.8× 35 0.7× 67 2.0k
Alexander Vladimirsky United States 12 358 0.8× 79 0.5× 221 3.8× 108 1.9× 7 0.1× 28 1.0k

Countries citing papers authored by Diego Rossinelli

Since Specialization
Citations

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

Fields of papers citing papers by Diego Rossinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Rossinelli

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Rossinelli. A scholar is included among the top collaborators of Diego Rossinelli 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 Diego Rossinelli. Diego Rossinelli 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.
Rossinelli, Diego, et al.. (2025). Thermal expansion-driven laser ignition in a gas subscale rocket combustor. Combustion and Flame. 284. 114692–114692.
2.
3.
Rossinelli, Diego, Hanspeter E. Killer, Albert Neutzner, et al.. (2024). Large-scale in-silico analysis of CSF dynamics within the subarachnoid space of the optic nerve. Fluids and Barriers of the CNS. 21(1). 20–20. 3 indexed citations
4.
Wang, Jonathan M., et al.. (2024). Computational Study of Laser-Induced Modes of Ignition in a Coflow Combustor. Flow Turbulence and Combustion. 113(4). 1055–1079. 3 indexed citations
5.
Kuo, Willy, Diego Rossinelli, G. V. Schulz, et al.. (2023). Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney. Scientific Data. 10(1). 510–510. 4 indexed citations
6.
Guerreiro, Nuno, et al.. (2023). Assessment of the CRD approximation for the observer’s frame RIII redistribution matrix. Astronomy and Astrophysics. 679. A87–A87. 3 indexed citations
7.
Rossinelli, Diego, Hanspeter E. Killer, Peter Meyer, et al.. (2023). Large-scale morphometry of the subarachnoid space of the optic nerve. Fluids and Barriers of the CNS. 20(1). 21–21. 8 indexed citations
8.
Rossinelli, Diego, et al.. (2020). High-Throughput Lossy-to-Lossless 3D Image Compression. IEEE Transactions on Medical Imaging. 40(2). 607–620. 16 indexed citations
9.
Novati, Guido, Siddhartha Verma, Dmitry Alexeev, et al.. (2017). Synchronisation through learning for two self-propelled swimmers. Bioinspiration & Biomimetics. 12(3). 36001–36001. 116 indexed citations
10.
Verma, Siddhartha, et al.. (2017). Pareto Optimal Swimmers. 1–11. 4 indexed citations
11.
Rossinelli, Diego, et al.. (2017). Fake News, Immigration, and Opinion Polarization. SocioEconomic Challenges. 1(4). 59–72. 9 indexed citations
12.
Hadjidoukas, Panagiotis, Diego Rossinelli, Babak Hejazialhosseini, & Petros Koumoutsakos. (2015). From 11 to 14.4 PFLOPs: Performance Optimization for Finite Volume Flow Solver. 7–12. 4 indexed citations
13.
Rossinelli, Diego, Babak Hejazialhosseini, Wim M. van Rees, et al.. (2015). MRAG-I2D: Multi-resolution adapted grids for remeshed vortex methods on multicore architectures. Journal of Computational Physics. 288. 1–18. 42 indexed citations
14.
Hejazialhosseini, Babak, Diego Rossinelli, & Petros Koumoutsakos. (2013). 3D shock-bubble interaction. Physics of Fluids. 25(9). 5 indexed citations
15.
Hejazialhosseini, Babak, Diego Rossinelli, & Petros Koumoutsakos. (2013). Vortex dynamics in 3D shock-bubble interaction. Physics of Fluids. 25(11). 24 indexed citations
16.
Hejazialhosseini, Babak, et al.. (2012). High throughput software for direct numerical simulations of compressible two-phase flows. 43. 1–12. 3 indexed citations
17.
Rossinelli, Diego, et al.. (2011). GPU and APU computations of Finite Time Lyapunov Exponent fields. Journal of Computational Physics. 231(5). 2229–2244. 30 indexed citations
18.
Rossinelli, Diego, Babak Hejazialhosseini, Daniele G. Spampinato, & Petros Koumoutsakos. (2011). Multicore/Multi-GPU Accelerated Simulations of Multiphase Compressible Flows Using Wavelet Adapted Grids. SIAM Journal on Scientific Computing. 33(2). 512–540. 26 indexed citations
19.
Rossinelli, Diego, Michael Bergdorf, Georges‐Henri Cottet, & Petros Koumoutsakos. (2010). GPU accelerated simulations of bluff body flows using vortex particle methods. Journal of Computational Physics. 229(9). 3316–3333. 71 indexed citations
20.
Rossinelli, Diego, et al.. (2007). Accelerated stochastic and hybrid methods for spatial simulations of reaction–diffusion systems. Chemical Physics Letters. 451(1-3). 136–140. 34 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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