G. Casalis

2.1k citations
86 papers · 1.5k indexed · h-index 22

G. Casalis

86 papers receiving 1.5k citations

Peers

G. Casalis
Comparison fields: 5 of 42
  • Aerospace Engineering 1.2k
  • Computational Mechanics 795
  • Applied Mathematics 264
  • Mechanics of Materials 578
  • Astronomy and Astrophysics 114
Replace Л.И. Стамов with:
Л.И. Стамов Russia
Gary Flandro United States
Louis A. Povinelli United States
H. McDonald Russia
Steven H. Collicott United States
H. T. Nagamatsu United States
Ten-See Wang United States
G. J. Sharpe United Kingdom
Paul Batten United Kingdom
C. Knowlen United States
G. Casalis relative to Л.И. Стамов Russia Л.И. Стамов's profile →
Citations per field
00.5×2.5×
Л.И. Стамов · 1×
Citations per year

Countries citing papers authored by G. Casalis

Since Specialization
Citations

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

Fields of papers citing papers by G. Casalis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside G. Casalis, 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 G. Casalis Line = papers co-authored together G. Casalis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 20199
3 20179
4 20142
5 201430
6 201325
7
Theoretical and numerical investigation of optimal impedance in lined ducts with flow
20121
8 20126
9 201251
10 20091
11 20065
12
Motor Flow Instabilities - Part 1
20041
13
Motor Flow Instabilities - Part 2. Intrinsic Linear Stability of the Flow Induced by Wall Injection
20047
14 200339
15
NONLINEAR TRANSITION PREDICTION
20004
16 200081
17 199812
18 19984
19 1998118
20 199716

About G. Casalis

G. Casalis is a scholar working on Computational Mechanics, Aerospace Engineering, Mechanics of Materials, Applied Mathematics and Astronomy and Astrophysics, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (46 papers), Rocket and propulsion systems research (31 papers), Computational Fluid Dynamics and Aerodynamics (23 papers), Energetic Materials and Combustion (22 papers), Aerodynamics and Acoustics in Jet Flows (18 papers), Fluid Dynamics and Vibration Analysis (13 papers), Spacecraft and Cryogenic Technologies (9 papers) and Aerospace Engineering and Control Systems (9 papers). The work is most often cited by research in Aerospace Engineering (1.2k citations), Computational Mechanics (795 citations), Applied Mathematics (264 citations), Mechanics of Materials (578 citations) and Astronomy and Astrophysics (114 citations). G. Casalis has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Jérôme Griffond, F. Chedevergne, D. Arnal, G. Avalon, Jean-Christophe Robinet, Estelle Piot, Joseph Majdalani, François Vuillot, Jean-Luc Estivalèzes and Michel Prévost. Their work appears in journals such as Physics of Fluids, AIAA Journal, Journal of Fluid Mechanics, Experiments in Fluids and European Journal of Mechanics - B/Fluids.

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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