Andrew Giuliani

450 citations
19 papers · 309 · h-index 10

Impact in

Papers in

    • Advanced Numerical Methods in Computational Mathematics 7
    • Computational Fluid Dynamics and Aerodynamics 7
    • Solar and Space Plasma Dynamics 7
    • Stellar, planetary, and galactic studies 2
    • Astro and Planetary Science 2

Andrew Giuliani

19 papers receiving 292 citations

Peers

Andrew Giuliani
Comparison fields: 5 of 45
  • Nuclear and High Energy Physics 149
  • Astronomy and Astrophysics 92
  • Computational Mechanics 99
  • Catalysis 22
  • Numerical Analysis 15
Replace Roman Samulyak with:
Roman Samulyak United States
H.J. de Blank Netherlands
Trevor Moeller United States
Tommaso Andreussi Italy
Jacques Blum France
Martin Campos Pinto France
Manaure Francisquez United States
Eisung Yoon South Korea
J. Segré France
Rizwan-uddin United States
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Citations per field
00.5×3.7×
Roman Samulyak · 1×
Citations per year

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-authors

The 14 scholars most cited alongside Andrew Giuliani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew Giuliani Line = papers co-authored together Andrew Giuliani links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202181
2 201535
3 202227
4 202026
5 202122
6 202222
7 202413
8 201812
9 201910
10 201710
11 20238
12 20198
13 20228
14 20246
15 20196
16 20225
17 20185
18 20254
19 20241

About Andrew Giuliani

Andrew Giuliani is a scholar working on Computational Mechanics, Astronomy and Astrophysics, Nuclear and High Energy Physics, Numerical Analysis and Atomic and Molecular Physics, and Optics, having authored 19 papers that have together received 309 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (7 papers), Magnetic confinement fusion research (7 papers), Solar and Space Plasma Dynamics (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Numerical methods for differential equations (4 papers), Gas Dynamics and Kinetic Theory (2 papers), Stellar, planetary, and galactic studies (2 papers) and Astro and Planetary Science (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (149 citations), Astronomy and Astrophysics (92 citations), Computational Mechanics (99 citations), Catalysis (22 citations) and Numerical Analysis (15 citations). Andrew Giuliani has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Florian Wechsung, Matt Landreman, Lilia Krivodonova, Antoine Cerfon, Georg Stadler, R. Jorge, Caoxiang Zhu, Bharat Medasani, Marsha Berger and Philippe Vergne. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing, Physics of Plasmas, Journal of Plasma Physics and Applied Numerical Mathematics.

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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