Fábio Vargas

1.5k total citations · 1 hit paper
32 papers, 845 citations indexed

About

Fábio Vargas is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Fábio Vargas has authored 32 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Astronomy and Astrophysics, 27 papers in Atmospheric Science and 7 papers in Global and Planetary Change. Recurrent topics in Fábio Vargas's work include Ionosphere and magnetosphere dynamics (28 papers), Atmospheric Ozone and Climate (26 papers) and Solar and Space Plasma Dynamics (12 papers). Fábio Vargas is often cited by papers focused on Ionosphere and magnetosphere dynamics (28 papers), Atmospheric Ozone and Climate (26 papers) and Solar and Space Plasma Dynamics (12 papers). Fábio Vargas collaborates with scholars based in United States, Brazil and Germany. Fábio Vargas's co-authors include G. R. Swenson, Alan Z. Liu, J. P. Pommereau, D. A. Degenstein, Jean‐Paul Vernier, L. W. Thomason, Jacques Pelon, Alain Hauchecorne, C. R. Trepte and Laurent Blanot and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric chemistry and physics.

In The Last Decade

Fábio Vargas

30 papers receiving 826 citations

Hit Papers

NRLMSIS 2.0: A Whole‐Atmosphere Empirical Model of Temper... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fábio Vargas United States 13 571 511 352 113 94 32 845
Natalie Kaifler Germany 18 614 1.1× 649 1.3× 329 0.9× 123 1.1× 35 0.4× 44 821
Roy W. Esplin United States 7 548 1.0× 579 1.1× 176 0.5× 70 0.6× 51 0.5× 29 715
Sheng‐Yang Gu China 16 362 0.6× 503 1.0× 214 0.6× 55 0.5× 49 0.5× 41 599
Patrick E. Sheese Canada 16 666 1.2× 476 0.9× 355 1.0× 59 0.5× 51 0.5× 43 829
S. Sridharan India 18 732 1.3× 845 1.7× 301 0.9× 115 1.0× 64 0.7× 95 1.0k
M. G. Shepherd Canada 19 879 1.5× 1.0k 2.0× 266 0.8× 128 1.1× 74 0.8× 60 1.2k
M. G. Mlynczak United States 14 602 1.1× 755 1.5× 206 0.6× 152 1.3× 53 0.6× 28 868
Guotao Yang China 15 258 0.5× 580 1.1× 145 0.4× 89 0.8× 176 1.9× 86 673
A. I. Semenov Russia 14 735 1.3× 713 1.4× 231 0.7× 56 0.5× 27 0.3× 73 867

Countries citing papers authored by Fábio Vargas

Since Specialization
Citations

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

Fields of papers citing papers by Fábio Vargas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fábio Vargas

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

All Works

20 of 20 papers shown
1.
Liu, Alan Z., et al.. (2025). Chilean Observation Network De Meteor Radars (CONDOR): multi-static system configuration and wind comparison with co-located lidar. Atmospheric measurement techniques. 18(5). 1091–1104.
3.
Swenson, G. R., Fábio Vargas, McArthur Jones, et al.. (2021). Intra‐Annual Variation of Eddy Diffusion (k zz ) in the MLT, From SABER and SCIAMACHY Atomic Oxygen Climatologies. Journal of Geophysical Research Atmospheres. 126(23). e2021JD035343–e2021JD035343. 8 indexed citations
4.
Vargas, Fábio, et al.. (2021). Mesospheric gravity wave activity estimated via airglow imagery, multistatic meteor radar, and SABER data taken during the SIMONe–2018 campaign. Atmospheric chemistry and physics. 21(17). 13631–13654. 13 indexed citations
5.
Vargas, Fábio, et al.. (2021). A Na density lidar method and measurements of turbulence to 105 km at the Andes Lidar Observatory. Journal of Atmospheric and Solar-Terrestrial Physics. 219. 105642–105642. 3 indexed citations
6.
Vargas, Fábio, et al.. (2020). Geomagnetic and Solar Dependency of MSTIDs Occurrence Rate: A Climatology Based on Airglow Observations From the Arecibo Observatory ROF. Journal of Geophysical Research Space Physics. 125(7). 11 indexed citations
7.
Emmert, J. T., D. P. Drob, J. M. Picone, et al.. (2020). NRLMSIS 2.0: A Whole‐Atmosphere Empirical Model of Temperature and Neutral Species Densities. Earth and Space Science. 8(3). 221 indexed citations breakdown →
9.
Vargas, Fábio. (2019). Traveling Ionosphere Disturbance Signatures on Ground‐Based Observations of the O( 1 D ) Nightglow Inferred From 1‐D Modeling. Journal of Geophysical Research Space Physics. 124(11). 9348–9363. 6 indexed citations
11.
Swenson, G. R., Fábio Vargas, Yajun Zhu, et al.. (2019). Determination of Global Mean Eddy Diffusive Transport in the Mesosphere and Lower Thermosphere From Atomic Oxygen and Carbon Dioxide Climatologies. Journal of Geophysical Research Atmospheres. 124(23). 13519–13533. 15 indexed citations
12.
Vargas, Fábio, Guotao Yang, P. P. Batista, & D. Gobbi. (2019). Growth Rate of Gravity Wave Amplitudes Observed in Sodium Lidar Density Profiles and Nightglow Image Data. Atmosphere. 10(12). 750–750. 5 indexed citations
14.
Swenson, G. R., et al.. (2018). Vertical diffusion transport of atomic oxygen in the mesopause region consistent with chemical losses and continuity: Global mean and inter-annual variability. Journal of Atmospheric and Solar-Terrestrial Physics. 178. 47–57. 20 indexed citations
15.
Liu, Alan Z., et al.. (2016). First measurement of horizontal wind and temperature in the lower thermosphere (105–140 km) with a Na Lidar at Andes Lidar Observatory. Geophysical Research Letters. 43(6). 2374–2380. 49 indexed citations
16.
Gardner, Chester S. & Fábio Vargas. (2016). OH* imager response to turbulence‐induced temperature fluctuations. Journal of Geophysical Research Atmospheres. 121(23). 1 indexed citations
17.
Vargas, Fábio, G. R. Swenson, & Alan Z. Liu. (2015). Evidence of high frequency gravity wave forcing on the meridional residual circulation at the mesopause region. Advances in Space Research. 56(9). 1844–1853. 12 indexed citations
18.
Gardner, Chester S. & Fábio Vargas. (2014). Optimizing three-frequency Na, Fe, and He lidars for measurements of wind, temperature, and species density and the vertical fluxes of heat and constituents. Applied Optics. 53(19). 4100–4100. 16 indexed citations
19.
Hecht, J. H., L. J. Gelinas, David C. Fritts, et al.. (2014). The life cycle of instability features measured from the Andes Lidar Observatory over Cerro Pachon on 24 March 2012. Journal of Geophysical Research Atmospheres. 119(14). 8872–8898. 31 indexed citations
20.
Vargas, Fábio, G. R. Swenson, Alan Z. Liu, & D. Gobbi. (2007). O(1S), OH, and O2(b) airglow layer perturbations due to AGWs and their implied effects on the atmosphere. Journal of Geophysical Research Atmospheres. 112(D14). 53 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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