F. Piscaglia

871 total citations
56 papers, 724 citations indexed

About

F. Piscaglia is a scholar working on Computational Mechanics, Aerospace Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, F. Piscaglia has authored 56 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computational Mechanics, 25 papers in Aerospace Engineering and 21 papers in Fluid Flow and Transfer Processes. Recurrent topics in F. Piscaglia's work include Combustion and flame dynamics (23 papers), Advanced Combustion Engine Technologies (21 papers) and Aerodynamics and Fluid Dynamics Research (10 papers). F. Piscaglia is often cited by papers focused on Combustion and flame dynamics (23 papers), Advanced Combustion Engine Technologies (21 papers) and Aerodynamics and Fluid Dynamics Research (10 papers). F. Piscaglia collaborates with scholars based in Italy, United States and France. F. Piscaglia's co-authors include Angelo Onorati, Giovanna Ferrari, Gianluca Montenegro, Jérôme Hélie, S. M. Aithal, Gianluca D’Errico, Tarcisio Cerri, David E. Foster, C. J. Rutland and Silvia Marelli and has published in prestigious journals such as Journal of Computational Physics, Applied Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

F. Piscaglia

53 papers receiving 703 citations

Peers

F. Piscaglia

FFTP

Luis Miguel García-Cuevas Spain

Graham Wigley United Kingdom

A. Teodorczyk Poland

Steven G. Tuttle United States

Vassilios Pachidis United Kingdom

Ashoke De India

D. A. Santavicca United States

Morgan Heikal United Kingdom

Lei‐Yong Jiang Canada

M. Hadžiabdić Bosnia and Herzegovina

Luis Miguel García-Cuevas Spain

F. Piscaglia

362 ×0.8

486 ×1.7

297 ×1.1

FFTP

137 ×1.2

74 ×0.8

Citations per year, relative to F. Piscaglia F. Piscaglia (= 1×) peers Luis Miguel García-Cuevas

Countries citing papers authored by F. Piscaglia

Since Specialization

Citations

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

Fields of papers citing papers by F. Piscaglia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Piscaglia

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

All Works

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20 of 20 papers shown

Piscaglia, F., et al.. (2025). Accelerated combustion simulations of hydrogen–air flames in the HYLON burner. Physics of Fluids. 37(10).

Piscaglia, F., et al.. (2023). Second-Order Time-Accurate ALE Schemes for Flow Computations with Moving and Topologically Changing Grids. Fluids. 8(6). 177–177.

Piscaglia, F., et al.. (2023). An adjoint‐based solver with adaptive mesh refinement for efficient design of coupled thermal‐fluid systems. International Journal for Numerical Methods in Fluids. 95(7). 1090–1116. 7 indexed citations

Piscaglia, F., et al.. (2023). GPU Acceleration of CFD Simulations in OpenFOAM. Aerospace. 10(9). 792–792. 16 indexed citations

Piscaglia, F., et al.. (2019). A three-phase VOF solver for the simulation of in-nozzle cavitation effects on liquid atomization. Journal of Computational Physics. 406. 109068–109068. 40 indexed citations

Ilio, Giovanni Di, Vesselin K. Krastev, F. Piscaglia, & Gino Bella. (2019). Hybrid URANS/LES Turbulence Modeling for Spray Simulation: A Computational Study. SAE technical papers on CD-ROM/SAE technical paper series. 5 indexed citations

Paravan, Christian, et al.. (2019). COMBUSTION PROCESSES IN HYBRID ROCKETS. International Journal of Energetic Materials and Chemical Propulsion. 18(3). 255–286. 23 indexed citations

Piscaglia, F., et al.. (2017). A Study of the Organized in-Cylinder Motion by a Dynamic Adaptive Scale-Resolving Turbulence Model. Flow Turbulence and Combustion. 100(3). 797–827. 12 indexed citations

Piscaglia, F., et al.. (2016). Influence of momentum interpolation methods on the accuracy and convergence of pressure–velocity coupling algorithms in OpenFOAM®. Journal of Computational and Applied Mathematics. 309. 654–673. 17 indexed citations

10.

Piscaglia, F., et al.. (2016). Hybrid RANS/LES of Moving Boundary Problems: Application to Cavitating Sprays and In-Cylinder Flows. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–8. 2 indexed citations

11.

Piscaglia, F., et al.. (2015). An Extension of the Dynamic Mesh Handling with Topological Changes for LES of ICE in OpenFOAM<sup>®</sup>. SAE technical papers on CD-ROM/SAE technical paper series. 1. 14 indexed citations

12.

Piscaglia, F., et al.. (2015). A Scale Adaptive Filtering Technique for Turbulence Modeling of Unsteady Flows in IC Engines. SAE International Journal of Engines. 8(2). 426–436. 24 indexed citations

13.

Piscaglia, F., et al.. (2013). Towards the LES Simulation of IC Engines with Parallel Topologically Changing Meshes. SAE International Journal of Engines. 6(2). 926–940. 18 indexed citations

14.

Piscaglia, F., et al.. (2013). Wall-adapting subgrid-scale models to apply to large eddy simulation of internal combustion engines. International Journal of Computer Mathematics. 91(1). 62–70. 7 indexed citations

15.

Piscaglia, F., et al.. (2012). Development of a non-reflecting boundary condition for multidimensional nonlinear duct acoustic computation. Journal of Sound and Vibration. 332(4). 922–935. 23 indexed citations

16.

Piscaglia, F., et al.. (2011). High resolution central schemes for multi-dimensional non-linear acoustic simulation of silencers in internal combustion engines. Mathematical and Computer Modelling. 54(7-8). 1720–1724. 6 indexed citations

17.

Piscaglia, F., et al.. (2011). Inlet boundary conditions for incompressible LES: A comparative study. Mathematical and Computer Modelling. 57(7-8). 1640–1647. 37 indexed citations

18.

Onorati, Angelo, Gianluca Montenegro, Gianluca D’Errico, & F. Piscaglia. (2010). Integrated 1D-3D Fluid Dynamic Simulation of a Turbocharged Diesel Engine with Complete Intake and Exhaust Systems. SAE technical papers on CD-ROM/SAE technical paper series. 1. 20 indexed citations

19.

Piscaglia, F., et al.. (2010). Multi-dimensional computation of compressible reacting flows through porous media to apply to Internal Combustion Engine simulation. Mathematical and Computer Modelling. 52(7-8). 1133–1142. 9 indexed citations

20.

Onorati, Angelo & F. Piscaglia. (2005). A Computational Investigation of the Hydrodynamics and the Soot Deposition Mechanism on the Channel Walls of a Diesel Particulate Filter. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–20. 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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