F. Vial

4.0k citations
62 papers · 3.4k · 1 hit paper · h-index 30

Impact in

Papers in

F. Vial

60 papers receiving 3.0k citations

F. Vial's Hit Papers

Empirical wind model for the upper, middle and lower atmosphere 1996 · 591 citations
5910+10+20Years since publication100200300400500

Peers

F. Vial
Comparison fields: 5 of 50
  • Astronomy and Astrophysics 2.9k
  • Atmospheric Science 1.8k
  • Oceanography 844
  • Geophysics 404
  • Global and Planetary Change 570
Replace G. J. Fraser with:
G. J. Fraser New Zealand
D. M. Riggin United States
Jiyao Xu China
W. Singer Germany
B. R. Clemesha Brazil
G. Beyerle Germany
W. R. Skinner United States
N. J. Mitchell United Kingdom
T. E. Vanzandt United States
Christoph Jacobi Germany
F. Vial relative to G. J. Fraser New Zealand G. J. Fraser's profile →
Citations per field
00.5×2×3×4×5×
G. J. Fraser · 1×
Citations per year

Countries citing papers authored by F. Vial

Since Specialization
Citations

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

Fields of papers citing papers by F. Vial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Empirical wind model for the upper, middle and lower atmosphere
Hit paper breakdown →
1996591
2 1995295
3 1991289
4 2008178
5 1989173
6 1989149
7 1995146
8 1993142
9 1989126
10 198699
11 200173
12 198969
13 199462
14 199354
15 200750
16 199450
17 200748
18 200845
19 200244
20 199144

About F. Vial

F. Vial is a scholar working on Astronomy and Astrophysics, Atmospheric Science, Oceanography, Global and Planetary Change and Molecular Biology, having authored 62 papers that have together received 3.4k indexed citations. Recurring topics across this work include Ionosphere and magnetosphere dynamics (42 papers), Solar and Space Plasma Dynamics (32 papers), Atmospheric Ozone and Climate (30 papers), Geophysics and Gravity Measurements (13 papers), Climate variability and models (12 papers), Meteorological Phenomena and Simulations (12 papers), Oceanographic and Atmospheric Processes (6 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). The work is most often cited by research in Astronomy and Astrophysics (2.9k citations), Atmospheric Science (1.8k citations), Oceanography (844 citations), Geophysics (404 citations) and Global and Planetary Change (570 citations). F. Vial has collaborated with scholars based in France, United States and Australia. Frequent co-authors include J. M. Forbes, H. Teitelbaum, M. E. Hagan, Albert Hertzog, A. H. Manson, R. A. Vincent, G. J. Fraser, Ronald Clark, Gillian Boccara and S. K. Avery. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters, Annales Geophysicae, Journal of the Atmospheric Sciences and Atmospheric chemistry and physics.

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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