D. De Grazia

870 total citations · 1 hit paper
7 papers, 617 citations indexed

About

D. De Grazia is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, D. De Grazia has authored 7 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 1 paper in Computational Theory and Mathematics and 1 paper in Electrical and Electronic Engineering. Recurrent topics in D. De Grazia's work include Advanced Numerical Methods in Computational Mathematics (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Fluid Dynamics and Turbulent Flows (4 papers). D. De Grazia is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Fluid Dynamics and Turbulent Flows (4 papers). D. De Grazia collaborates with scholars based in United Kingdom, United States and Sweden. D. De Grazia's co-authors include Spencer J. Sherwin, Gianmarco Mengaldo, David Moxey, Peter Vincent, G. Rocco, Chris D. Cantwell, Claes Eskilsson, Andrew Comerford, Brent Nelson and Pauline Vos and has published in prestigious journals such as Journal of Computational Physics, Computer Physics Communications and International Journal for Numerical Methods in Fluids.

In The Last Decade

D. De Grazia

7 papers receiving 604 citations

Hit Papers

Nektar++: An open-source spectral/ h p element framework 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. De Grazia United Kingdom 7 547 127 103 76 53 7 617
A.H. van Zuijlen Netherlands 15 616 1.1× 228 1.8× 108 1.0× 54 0.7× 70 1.3× 56 767
Dirk Ekelschot United States 6 413 0.8× 109 0.9× 90 0.9× 49 0.6× 45 0.8× 11 482
Bruno Koobus France 11 705 1.3× 184 1.4× 67 0.7× 42 0.6× 41 0.8× 34 800
Doru Caraeni United States 8 798 1.5× 123 1.0× 54 0.5× 77 1.0× 13 0.2× 23 844
Russ D. Rausch United States 13 718 1.3× 321 2.5× 85 0.8× 56 0.7× 23 0.4× 34 839
G. Rocco United Kingdom 3 345 0.6× 108 0.9× 90 0.9× 44 0.6× 45 0.8× 4 402
Michael Colonno United States 6 303 0.6× 252 2.0× 41 0.4× 43 0.6× 27 0.5× 15 607
Brian C. Vermeire Canada 15 528 1.0× 161 1.3× 116 1.1× 101 1.3× 20 0.4× 45 664
H. van der Ven Netherlands 13 742 1.4× 122 1.0× 61 0.6× 61 0.8× 8 0.2× 40 871
N. YU United States 16 507 0.9× 284 2.2× 60 0.6× 45 0.6× 26 0.5× 48 723

Countries citing papers authored by D. De Grazia

Since Specialization
Citations

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

Fields of papers citing papers by D. De Grazia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. De Grazia. 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 D. De Grazia. The network helps show where D. De Grazia may publish in the future.

Co-authorship network of co-authors of D. De Grazia

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

All Works

7 of 7 papers shown
2.
Mengaldo, Gianmarco, D. De Grazia, Rodrigo C. Moura, & Spencer J. Sherwin. (2018). Spatial eigensolution analysis of energy-stable flux reconstruction schemes and influence of the numerical flux on accuracy and robustness. Journal of Computational Physics. 358. 1–20. 32 indexed citations
3.
Mengaldo, Gianmarco, D. De Grazia, David Moxey, Peter Vincent, & Spencer J. Sherwin. (2015). Dealiasing techniques for high-order spectral element methods on regular and irregular grids. Journal of Computational Physics. 299. 56–81. 76 indexed citations
4.
Mengaldo, Gianmarco, D. De Grazia, Peter Vincent, & Spencer J. Sherwin. (2015). On the Connections Between Discontinuous Galerkin and Flux Reconstruction Schemes: Extension to Curvilinear Meshes. Journal of Scientific Computing. 67(3). 1272–1292. 31 indexed citations
5.
Cantwell, Chris D., David Moxey, Andrew Comerford, et al.. (2015). Nektar++: An open-source spectral/ h p element framework. Computer Physics Communications. 192. 205–219. 379 indexed citations breakdown →
6.
Grazia, D. De, Gianmarco Mengaldo, David Moxey, Peter Vincent, & Spencer J. Sherwin. (2014). Connections between the discontinuous Galerkin method and high‐order flux reconstruction schemes. International Journal for Numerical Methods in Fluids. 75(12). 860–877. 54 indexed citations
7.
Mengaldo, Gianmarco, D. De Grazia, Freddie Witherden, et al.. (2014). A Guide to the Implementation of Boundary Conditions in Compact High-Order Methods for Compressible Aerodynamics. 39 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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