G. Labrosse

1.4k citations
64 papers · 1.1k indexed · h-index 18

G. Labrosse

64 papers receiving 991 citations

Peers

G. Labrosse
Comparison fields: 5 of 53
  • Computational Mechanics 585
  • Nuclear and High Energy Physics 351
  • Numerical Analysis 60
  • Biomedical Engineering 234
  • Statistical and Nonlinear Physics 55
Replace John B. Bdzil with:
John B. Bdzil United States
D. Eyre South Africa
F. R. Scott United States
J. Breil France
J. E. McCune United States
F. Shi China
D. Y. Hsieh United States
Franck Assous France
Govind Menon United States
Richard Sanchez France
G. Labrosse relative to John B. Bdzil United States John B. Bdzil's profile →
Citations per field
00.5×2.9×
John B. Bdzil · 1×
Citations per year

Countries citing papers authored by G. Labrosse

Since Specialization
Citations

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

Fields of papers citing papers by G. Labrosse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20146
2 20101
3 200710
4 200417
5 20001
6
Direct Numerical Simulation of Lid-Driven Cavity Flow within a 3D Inhomogeneous Domain on an NEC-SX4 Supercomputer
20003
7 200027
8 20001
9 200029
10 2000170
11 19961
12 19928
13
A contribution to the study of convective regimes in a horizontal solar converter with modulation of the temperature of the absorbing surface
19851
14 19826
15 197515
16 197431
17 19745
18 19744
19 197319
20 19727

About G. Labrosse

G. Labrosse is a scholar working on Nuclear and High Energy Physics, Computational Mechanics, Numerical Analysis, Biomedical Engineering and Computational Theory and Mathematics, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (20 papers), Quantum Chromodynamics and Particle Interactions (19 papers), High-Energy Particle Collisions Research (18 papers), Fluid Dynamics and Turbulent Flows (13 papers), Fluid Dynamics and Thin Films (12 papers), Advanced Numerical Methods in Computational Mathematics (10 papers), Nanofluid Flow and Heat Transfer (8 papers) and Lattice Boltzmann Simulation Studies (7 papers). The work is most often cited by research in Computational Mechanics (585 citations), Nuclear and High Energy Physics (351 citations), Numerical Analysis (60 citations), Biomedical Engineering (234 citations) and Statistical and Nonlinear Physics (55 citations). G. Labrosse has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include E. Tric, Emmanuel Leriche, Michel Deville, Pierre Haldenwang, R. Salmeron, L. Montanet, Egil Lillestøl, Ph. Gavillet, P. Villemoes and M. Foster. Their work appears in journals such as Nuclear Physics B, Physics of Fluids, Journal of Computational Physics, Physics Letters B and International Journal of Heat and Mass Transfer.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026