L. Scherliess

4.9k total citations · 2 hit papers
79 papers, 3.8k citations indexed

About

L. Scherliess is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Oceanography. According to data from OpenAlex, L. Scherliess has authored 79 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Astronomy and Astrophysics, 37 papers in Aerospace Engineering and 29 papers in Oceanography. Recurrent topics in L. Scherliess's work include Ionosphere and magnetosphere dynamics (70 papers), GNSS positioning and interference (35 papers) and Solar and Space Plasma Dynamics (30 papers). L. Scherliess is often cited by papers focused on Ionosphere and magnetosphere dynamics (70 papers), GNSS positioning and interference (35 papers) and Solar and Space Plasma Dynamics (30 papers). L. Scherliess collaborates with scholars based in United States, Australia and Georgia. L. Scherliess's co-authors include B. G. Fejer, R. W. Schunk, E. R. de Paula, J. J. Sojka, D. C. Thompson, Geonhwa Jee, D. C. Thompson, L. Zhu, D. N. Anderson and R. A. Heelis and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Statistics in Medicine.

In The Last Decade

L. Scherliess

77 papers receiving 3.6k citations

Hit Papers

Effects of the vertical plasma drift velocity on the gene... 1999 2026 2008 2017 1999 1999 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Scherliess United States 24 3.7k 1.7k 1.7k 1.0k 678 79 3.8k
C. E. Valladares United States 39 4.3k 1.2× 1.7k 1.0× 2.0k 1.2× 1.0k 1.0× 787 1.2× 116 4.5k
S. Su Taiwan 36 4.2k 1.1× 1.8k 1.1× 1.7k 1.0× 1.2k 1.2× 524 0.8× 134 4.4k
P. T. Jayachandran Canada 32 2.8k 0.8× 1.5k 0.9× 1.6k 1.0× 665 0.7× 567 0.8× 137 2.9k
H. Kil United States 34 3.7k 1.0× 1.2k 0.7× 1.4k 0.8× 906 0.9× 580 0.9× 116 3.8k
J. H. A. Sobral Brazil 42 5.3k 1.4× 2.4k 1.4× 2.3k 1.4× 989 1.0× 688 1.0× 169 5.5k
M. R. Hairston United States 38 4.7k 1.3× 1.7k 1.0× 1.2k 0.7× 2.0k 2.0× 424 0.6× 173 4.8k
N. Balan Japan 39 4.2k 1.1× 2.4k 1.4× 1.6k 1.0× 1.1k 1.1× 362 0.5× 132 4.3k
Takuya Tsugawa Japan 38 3.9k 1.1× 2.7k 1.6× 1.7k 1.0× 747 0.7× 494 0.7× 131 4.4k
E. R. de Paula Brazil 26 3.0k 0.8× 1.2k 0.7× 1.5k 0.9× 553 0.5× 496 0.7× 53 3.1k
David Altadill Spain 25 3.1k 0.8× 1.8k 1.1× 1.6k 0.9× 701 0.7× 524 0.8× 110 3.3k

Countries citing papers authored by L. Scherliess

Since Specialization
Citations

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

Fields of papers citing papers by L. Scherliess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Scherliess

This figure shows the co-authorship network connecting the top 25 collaborators of L. Scherliess. A scholar is included among the top collaborators of L. Scherliess 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 L. Scherliess. L. Scherliess 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.
Zhao, Yucheng, et al.. (2025). Gravity Wave Activity During the 2024 Sudden Stratospheric Warmings Observed by Atmospheric Waves Experiment (AWE). Geophysical Research Letters. 52(7). 1 indexed citations
2.
Scherliess, L., et al.. (2023). Spatial and temporal correlations of thermospheric zonal winds from GOCE satellite observations. Frontiers in Astronomy and Space Sciences. 10. 1 indexed citations
3.
Rodrigues, F. S., Alison de Oliveira Moraes, João Francisco Galera Monico, et al.. (2023). On the detection of a solar radio burst event that occurred on 28 August 2022 and its effect on GNSS signals as observed by ionospheric scintillation monitors distributed over the American sector. Journal of Space Weather and Space Climate. 13. 28–28. 2 indexed citations
4.
Scherliess, L., et al.. (2023). Longitudinal variability of thermospheric zonal winds near dawn and dusk. Frontiers in Astronomy and Space Sciences. 10. 2 indexed citations
5.
Rodríguez‐Zuluaga, J., Claudia Stolle, Yosuke Yamazaki, et al.. (2019). On the Balance Between Plasma and Magnetic Pressure Across Equatorial Plasma Depletions. Journal of Geophysical Research Space Physics. 124(7). 5936–5944. 12 indexed citations
6.
Marchant, Alan, Mike Taylor, Charles Swenson, & L. Scherliess. (2014). Hyperspectral Limb Scanner for the OPAL Mission. Digital Commons - USU (Utah State University). 2 indexed citations
7.
Lomidze, Levan & L. Scherliess. (2013). Data Assimilation Model for the Thermospheric Neutral Winds at Mid- and Low-Latitudes and Its Use for Ionosphere-Thermosphere Studies. AGU Fall Meeting Abstracts. 2013. 2 indexed citations
8.
McHarg, M. G., et al.. (2013). Comparisons of the low-cost in-situ MESA plasma sensor with C/NOFS and GAIM plasma density/temperature data. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
10.
Lomidze, Levan & L. Scherliess. (2011). The Ionospheric Evening Anomalies: Recent Observations and Modeling. AGU Fall Meeting Abstracts. 2011. 2 indexed citations
11.
Lomidze, Levan & L. Scherliess. (2010). Morphology and Causes of the Weddell Sea Anomaly. AGU Fall Meeting Abstracts. 2010. 2 indexed citations
12.
Scherliess, L., D. C. Thompson, R. W. Schunk, & J. J. Sojka. (2006). Ionospheric/Thermospheric Variability At Middle Latitudes Obtained From The Global Assimilation Of Ionospheric Measurements (GAIM) Model. AGUFM. 2006. 3 indexed citations
13.
Jee, Geonhwa, A. G. Burns, R. W. Schunk, et al.. (2006). Continual Initialization of The TING Model with GAIM Electron Densities: Ionospheric Effects on The Thermosphere. AGU Fall Meeting Abstracts. 2006. 2 indexed citations
14.
Scherliess, L., R. W. Schunk, J. J. Sojka, D. C. Thompson, & L. Zhu. (2005). Comparison of the USU GAIM ionospheric plasma densities with Arecibo ISR observations. AGUSM. 2005. 4 indexed citations
15.
Scherliess, L., R. W. Schunk, J. J. Sojka, & D. C. Thompson. (2003). The USU GAIM Data Assimilation Model for the Ionosphere. AGU Fall Meeting Abstracts. 2003. 1 indexed citations
16.
Schunk, R. W., L. Scherliess, & J. J. Sojka. (2003). Recent approaches to modeling ionospheric weather. Advances in Space Research. 31(4). 819–828. 35 indexed citations
17.
Bekerat, Hamed, R. W. Schunk, L. Scherliess, & J. V. Eccles. (2001). Determination of Ionospheric High-Latitude Drivers for GAIM Using DMSP Data. AGUFM. 2001. 1 indexed citations
18.
Jee, Geonhwa, R. W. Schunk, & L. Scherliess. (2001). On the Determination of the Global Neutral Wind Field Using TEC Observations. AGU Fall Meeting Abstracts. 2001. 1 indexed citations
19.
Fejer, B. G. & L. Scherliess. (2001). On the variability of equatorial F-region vertical plasma drifts. Journal of Atmospheric and Solar-Terrestrial Physics. 63(9). 893–897. 66 indexed citations
20.
Fejer, B. G. & L. Scherliess. (1997). Empirical models of storm time equatorial zonal electric fields. Journal of Geophysical Research Atmospheres. 102(A11). 24047–24056. 335 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026