Andrew Giuliani

421 total citations
19 papers, 299 citations indexed

About

Andrew Giuliani is a scholar working on Computational Mechanics, Astronomy and Astrophysics and Nuclear and High Energy Physics. According to data from OpenAlex, Andrew Giuliani has authored 19 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 8 papers in Astronomy and Astrophysics and 7 papers in Nuclear and High Energy Physics. Recurrent topics in Andrew Giuliani's work include Solar and Space Plasma Dynamics (7 papers), Advanced Numerical Methods in Computational Mathematics (7 papers) and Computational Fluid Dynamics and Aerodynamics (7 papers). Andrew Giuliani is often cited by papers focused on Solar and Space Plasma Dynamics (7 papers), Advanced Numerical Methods in Computational Mathematics (7 papers) and Computational Fluid Dynamics and Aerodynamics (7 papers). Andrew Giuliani collaborates with scholars based in United States, Canada and Switzerland. Andrew Giuliani's co-authors include Matt Landreman, Florian Wechsung, Lilia Krivodonova, Antoine Cerfon, Georg Stadler, R. Jorge, Marsha Berger, Caoxiang Zhu, Bharat Medasani and Philippe Vergne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and Physical Chemistry Chemical Physics.

In The Last Decade

Andrew Giuliani

19 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Giuliani United States 10 146 97 92 65 45 19 299
Trevor Moeller United States 11 35 0.2× 148 1.5× 70 0.8× 107 1.6× 23 0.5× 66 330
Roman Samulyak United States 13 179 1.2× 125 1.3× 54 0.6× 62 1.0× 39 0.9× 58 383
Rizwan-uddin United States 6 79 0.5× 55 0.6× 148 1.6× 65 1.0× 14 0.3× 6 289
Tommaso Andreussi Italy 15 76 0.5× 49 0.5× 178 1.9× 74 1.1× 56 1.2× 41 563
P. Pavlo Czechia 11 164 1.1× 180 1.9× 74 0.8× 102 1.6× 41 0.9× 43 378
H.J. de Blank Netherlands 12 198 1.4× 62 0.6× 86 0.9× 39 0.6× 21 0.5× 40 334
Manaure Francisquez United States 11 259 1.8× 45 0.5× 170 1.8× 61 0.9× 50 1.1× 32 357
William D. Deininger United States 11 45 0.3× 22 0.2× 159 1.7× 154 2.4× 29 0.6× 85 390
S. Gori Germany 7 111 0.8× 23 0.2× 56 0.6× 34 0.5× 29 0.6× 21 204

Countries citing papers authored by Andrew Giuliani

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Giuliani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Giuliani

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

All Works

19 of 19 papers shown
1.
Giuliani, Andrew, et al.. (2025). A comprehensive exploration of quasisymmetric stellarators and their coil sets. Journal of Plasma Physics. 91(5). 2 indexed citations
2.
3.
Berger, Marsha & Andrew Giuliani. (2024). A New Provably Stable Weighted State Redistribution Algorithm. SIAM Journal on Scientific Computing. 46(5). A2848–A2873. 1 indexed citations
4.
Jorge, R., Andrew Giuliani, & J. Loizu. (2024). Simplified and flexible coils for stellarators using single-stage optimization. Physics of Plasmas. 31(11). 4 indexed citations
5.
Giuliani, Andrew, Florian Wechsung, Antoine Cerfon, Matt Landreman, & Georg Stadler. (2023). Direct stellarator coil optimization for nested magnetic surfaces with precise quasi-symmetry. Physics of Plasmas. 30(4). 8 indexed citations
6.
Wechsung, Florian, Andrew Giuliani, Matt Landreman, Antoine Cerfon, & Georg Stadler. (2022). Stochastic and a posteriori optimization to mitigate coil manufacturing errors in stellarator design. Plasma Physics and Controlled Fusion. 64(10). 105021–105021. 5 indexed citations
7.
Wechsung, Florian, Matt Landreman, Andrew Giuliani, Antoine Cerfon, & Georg Stadler. (2022). Precise stellarator quasi-symmetry can be achieved with electromagnetic coils. Proceedings of the National Academy of Sciences. 119(13). e2202084119–e2202084119. 27 indexed citations
8.
Giuliani, Andrew. (2022). A Two-Dimensional Stabilized Discontinuous Galerkin Method on Curvilinear Embedded Boundary Grids. SIAM Journal on Scientific Computing. 44(1). A389–A415. 8 indexed citations
9.
Giuliani, Andrew, Florian Wechsung, Antoine Cerfon, Georg Stadler, & Matt Landreman. (2022). Single-stage gradient-based stellarator coil design: Optimization for near-axis quasi-symmetry. Journal of Computational Physics. 459. 111147–111147. 21 indexed citations
10.
Wechsung, Florian, Andrew Giuliani, Matt Landreman, Antoine Cerfon, & Georg Stadler. (2021). Single-stage gradient-based stellarator coil design: stochastic optimization. Nuclear Fusion. 62(7). 76034–76034. 22 indexed citations
11.
Landreman, Matt, Bharat Medasani, Florian Wechsung, et al.. (2021). SIMSOPT: A flexible framework for stellarator optimization. The Journal of Open Source Software. 6(65). 3525–3525. 80 indexed citations
12.
Berger, Marsha & Andrew Giuliani. (2020). A state redistribution algorithm for finite volume schemes on cut cell meshes. Journal of Computational Physics. 428. 109820–109820. 24 indexed citations
13.
Giuliani, Andrew & Lilia Krivodonova. (2019). Adaptive mesh refinement on graphics processing units for applications in gas dynamics. Journal of Computational Physics. 381. 67–90. 10 indexed citations
14.
Giuliani, Andrew & Lilia Krivodonova. (2019). A moment limiter for the discontinuous Galerkin method on unstructured tetrahedral meshes. Journal of Computational Physics. 404. 109106–109106. 6 indexed citations
15.
Giuliani, Andrew & Lilia Krivodonova. (2019). A Moment Limiter for the Discontinuous Galerkin Method on Unstructured Triangular Meshes. SIAM Journal on Scientific Computing. 41(1). A508–A537. 8 indexed citations
16.
Giuliani, Andrew & Lilia Krivodonova. (2018). On the optimal CFL number of SSP methods for hyperbolic problems. Applied Numerical Mathematics. 135. 165–172. 5 indexed citations
17.
Giuliani, Andrew & Lilia Krivodonova. (2018). Analysis of slope limiters on unstructured triangular meshes. Journal of Computational Physics. 374. 1–26. 12 indexed citations
18.
Giuliani, Andrew & Lilia Krivodonova. (2017). Face coloring in unstructured CFD codes. Parallel Computing. 63. 17–37. 9 indexed citations
19.
Giuliani, Andrew, et al.. (2015). Nanolubrication by ionic liquids: molecular dynamics simulations reveal an anomalous effective rheology. Physical Chemistry Chemical Physics. 17(35). 23226–23235. 35 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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