S Rebay

5.5k total citations · 2 hit papers
45 papers, 3.6k citations indexed

About

S Rebay is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, S Rebay has authored 45 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 11 papers in Aerospace Engineering and 10 papers in Mechanical Engineering. Recurrent topics in S Rebay's work include Computational Fluid Dynamics and Aerodynamics (31 papers), Advanced Numerical Methods in Computational Mathematics (23 papers) and Fluid Dynamics and Turbulent Flows (9 papers). S Rebay is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (31 papers), Advanced Numerical Methods in Computational Mathematics (23 papers) and Fluid Dynamics and Turbulent Flows (9 papers). S Rebay collaborates with scholars based in Italy, Netherlands and United States. S Rebay's co-authors include F. Bassi, Andrea Crivellini, M. Savini, A. Ghidoni, Piero Colonna, Daniele A. Di Pietro, Giacomo Persico, Alberto Guardone, John Harinck and Matteo Pini and has published in prestigious journals such as Journal of Computational Physics, International Journal of Mechanical Sciences and International Journal for Numerical Methods in Fluids.

In The Last Decade

S Rebay

44 papers receiving 3.4k citations

Hit Papers

A High-Order Accurate Discontinuous Finite Element Method... 1997 2026 2006 2016 1997 1997 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S Rebay Italy 23 3.0k 564 480 365 338 45 3.6k
F. Bassi Italy 25 4.1k 1.4× 785 1.4× 475 1.0× 127 0.3× 392 1.2× 97 4.6k
Urmila Ghia United States 16 3.4k 1.1× 251 0.4× 344 0.7× 287 0.8× 214 0.6× 99 3.9k
William J. Rider United States 26 3.6k 1.2× 282 0.5× 548 1.1× 220 0.6× 354 1.0× 73 4.2k
Timothy J. Barth United States 21 3.5k 1.2× 297 0.5× 810 1.7× 281 0.8× 805 2.4× 47 4.2k
K. N. Ghia United States 14 3.5k 1.2× 257 0.5× 442 0.9× 327 0.9× 244 0.7× 51 4.0k
Philip Gresho United States 31 4.1k 1.4× 492 0.9× 361 0.8× 507 1.4× 183 0.5× 90 5.1k
R. Peyret France 19 2.2k 0.7× 328 0.6× 264 0.6× 218 0.6× 197 0.6× 40 2.9k
David W. Zingg Canada 37 3.9k 1.3× 618 1.1× 1.5k 3.1× 146 0.4× 536 1.6× 246 5.0k
H. Bijl Netherlands 30 2.5k 0.8× 240 0.4× 1.4k 3.0× 176 0.5× 141 0.4× 148 3.8k
Jacques Rappaz Switzerland 28 1.4k 0.5× 443 0.8× 203 0.4× 368 1.0× 203 0.6× 105 2.7k

Countries citing papers authored by S Rebay

Since Specialization
Citations

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

Fields of papers citing papers by S Rebay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Rebay

This figure shows the co-authorship network connecting the top 25 collaborators of S Rebay. A scholar is included among the top collaborators of S Rebay 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 S Rebay. S Rebay 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.
Colombo, A., et al.. (2023). On the Development of an Implicit Discontinuous Galerkin Solver for Turbulent Real Gas Flows. Fluids. 8(4). 117–117. 2 indexed citations
2.
Ghidoni, A., et al.. (2022). Assessment of an adaptive time integration strategy for a high‐order discretization of the unsteady RANS equations. International Journal for Numerical Methods in Fluids. 94(12). 1923–1963. 5 indexed citations
3.
Rebay, S, et al.. (2020). Robustness and efficiency of an implicit time-adaptive discontinuous Galerkin solver for unsteady flows. Computers & Fluids. 204. 104529–104529. 18 indexed citations
4.
Ghidoni, A., A. Colombo, F. Bassi, & S Rebay. (2014). Efficient p‐multigrid discontinuous Galerkin solver for complex viscous flows on stretched grids. International Journal for Numerical Methods in Fluids. 75(2). 134–154. 10 indexed citations
5.
Pini, Matteo, Andrea Spinelli, Giacomo Persico, & S Rebay. (2014). Consistent look-up table interpolation method for real-gas flow simulations. Computers & Fluids. 107. 178–188. 32 indexed citations
6.
Nigro, Alessandra, A. Ghidoni, S Rebay, & F. Bassi. (2014). Modified extended BDF scheme for the discontinuous Galerkin solution of unsteady compressible flows. International Journal for Numerical Methods in Fluids. 76(9). 549–574. 21 indexed citations
7.
Pini, Matteo, et al.. (2014). Adjoint Method for Shape Optimization in Real-Gas Flow Applications. Journal of Engineering for Gas Turbines and Power. 137(3). 51 indexed citations
8.
Persico, Giacomo, et al.. (2013). Optimization of Turbomachinery Flow Surfaces Applying a CFD-Based Throughflow Method. Journal of Turbomachinery. 136(3). 19 indexed citations
9.
Persico, Giacomo, et al.. (2012). Optimization of Turbomachinery Flow Surfaces Applying a CFD-Based Throughflow Method. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2383–2393. 1 indexed citations
10.
Persico, Giacomo & S Rebay. (2012). A penalty formulation for the throughflow modeling of turbomachinery. Computers & Fluids. 60. 86–98. 26 indexed citations
11.
Harinck, John, et al.. (2010). Computational Study of a High-Expansion Ratio Radial Organic Rankine Cycle Turbine Stator. Journal of Engineering for Gas Turbines and Power. 132(5). 61 indexed citations
12.
Bassi, F., A. Ghidoni, & S Rebay. (2010). Optimal Runge–Kutta smoothers for the p-multigrid discontinuous Galerkin solution of the 1D Euler equations. Journal of Computational Physics. 230(11). 4153–4175. 15 indexed citations
13.
Harinck, John, Piero Colonna, Alberto Guardone, & S Rebay. (2009). Influence of Thermodynamic Models in Two-Dimensional Flow Simulations of Turboexpanders. Journal of Turbomachinery. 132(1). 40 indexed citations
14.
Rebay, S, et al.. (2009). Simulation of the turbulent dense gas flow through the nozzle of an organic Rankine cycle turbine. Institutional Research Information System (Università degli Studi di Brescia). 1137–1148. 4 indexed citations
15.
Bassi, F., et al.. (2008). High‐order accurate p‐multigrid discontinuous Galerkin solution of the Euler equations. International Journal for Numerical Methods in Fluids. 60(8). 847–865. 32 indexed citations
16.
Bassi, F., Andrea Crivellini, Daniele A. Di Pietro, & S Rebay. (2006). A high-order Discontinuous Galerkin solver for 3D aerodynamic turbulent flows. Research Repository (Delft University of Technology). 9 indexed citations
17.
Colonna, Piero, et al.. (2006). Real-Gas Effects in ORC Turbine Flow Simulations: Influence of Thermodynamic Models on Flow Fields and Performance Parameters. Research Repository (Delft University of Technology). 33 indexed citations
18.
19.
Bassi, F. & S Rebay. (1997). A High-Order Accurate Discontinuous Finite Element Method for the Numerical Solution of the Compressible Navier–Stokes Equations. Journal of Computational Physics. 131(2). 267–279. 1292 indexed citations breakdown →
20.
Bassi, F., S Rebay, & M. Savini. (1991). Transonic and Supersonic Inviscid Computations in Cascades Using Adaptive Unstructured Meshes. Volume 1: Turbomachinery. 6 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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