S. E. McDonald

1.7k total citations · 1 hit paper
43 papers, 1.1k citations indexed

About

S. E. McDonald is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Oceanography. According to data from OpenAlex, S. E. McDonald has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Astronomy and Astrophysics, 13 papers in Aerospace Engineering and 9 papers in Oceanography. Recurrent topics in S. E. McDonald's work include Ionosphere and magnetosphere dynamics (32 papers), Solar and Space Plasma Dynamics (19 papers) and GNSS positioning and interference (13 papers). S. E. McDonald is often cited by papers focused on Ionosphere and magnetosphere dynamics (32 papers), Solar and Space Plasma Dynamics (19 papers) and GNSS positioning and interference (13 papers). S. E. McDonald collaborates with scholars based in United States, Canada and Estonia. S. E. McDonald's co-authors include J. T. Emmert, D. P. Drob, J. D. Huba, J. J. Makela, Kate Zawdie, J. Klenzing, J. W. Meriwether, Eelco Doornbos, G. Hernández and M. Conde and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and CA A Cancer Journal for Clinicians.

In The Last Decade

S. E. McDonald

39 papers receiving 1.1k citations

Hit Papers

An update to the Horizontal Wind Model (HWM): The quiet t... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. E. McDonald United States 14 799 286 249 236 183 43 1.1k
J. Y. Lu China 21 1.2k 1.5× 207 0.7× 134 0.5× 63 0.3× 417 2.3× 136 1.4k
E. Malaret United States 14 1.3k 1.7× 84 0.3× 312 1.3× 281 1.2× 92 0.5× 38 1.6k
S. Nozette United States 10 759 0.9× 50 0.2× 139 0.6× 209 0.9× 82 0.4× 33 925
Jan Rauberg Germany 16 755 0.9× 530 1.9× 106 0.4× 96 0.4× 709 3.9× 33 1.2k
Mark Settle United States 14 695 0.9× 394 1.4× 413 1.7× 166 0.7× 111 0.6× 30 1.2k
Axel Rülke Germany 16 327 0.4× 164 0.6× 285 1.1× 494 2.1× 67 0.4× 23 910
Bernhard Heck Germany 19 215 0.3× 247 0.9× 87 0.3× 395 1.7× 207 1.1× 60 903
A. de la Torre Argentina 19 694 0.9× 85 0.3× 591 2.4× 207 0.9× 34 0.2× 70 930
Jürgen Oberst Germany 21 1.5k 1.8× 222 0.8× 416 1.7× 298 1.3× 83 0.5× 123 1.6k
Zhipeng Ren China 25 1.6k 2.0× 705 2.5× 336 1.3× 422 1.8× 481 2.6× 115 1.7k

Countries citing papers authored by S. E. McDonald

Since Specialization
Citations

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

Fields of papers citing papers by S. E. McDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. E. McDonald. 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 S. E. McDonald. The network helps show where S. E. McDonald may publish in the future.

Co-authorship network of co-authors of S. E. McDonald

This figure shows the co-authorship network connecting the top 25 collaborators of S. E. McDonald. A scholar is included among the top collaborators of S. E. McDonald 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 S. E. McDonald. S. E. McDonald 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.
2.
Bilitza, D., et al.. (2024). PyIRI: Whole‐Globe Approach to the International Reference Ionosphere Modeling Implemented in Python. Space Weather. 22(4). 6 indexed citations
4.
Liu, Guiping, J. Klenzing, S. E. McDonald, Fabrizio Sassi, & D. E. Rowland. (2024). Mesosphere and Lower Thermosphere Temperatures Simulated by WACCM‐X With NAVGEM‐HA Meteorological Analyses and Compared to SABER Observations. Journal of Geophysical Research Space Physics. 129(4). 1 indexed citations
5.
McDonald, S. E., K. F. Dymond, A. G. Burrell, et al.. (2024). ANCHOR: Global Parametrized Ionospheric Data Assimilation. Space Weather. 22(7). 1 indexed citations
6.
Galkin, Ivan, S. E. McDonald, K. F. Dymond, et al.. (2024). PyIRTAM: A New Module of PyIRI for IRTAM Coefficients. Space Weather. 22(12). 1 indexed citations
7.
Chou, Min‐Yang, Jia Yue, S. E. McDonald, et al.. (2024). Modeling the Post‐Midnight Equatorial Plasma Bubbles With SAMI3/SD‐WACCM‐X: Large‐Scale Wave Structure. Journal of Geophysical Research Space Physics. 129(11). 1 indexed citations
8.
Sassi, Fabrizio, A. G. Burrell, S. E. McDonald, Jennifer Tate, & J. P. McCormack. (2024). On the importance of middle-atmosphere observations on ionospheric dynamics using WACCM-X and SAMI3. Annales Geophysicae. 42(1). 255–269. 2 indexed citations
9.
Allen, Douglas, et al.. (2023). Low latitude monthly total electron content composite correlations. Journal of Space Weather and Space Climate. 13. 7–7.
10.
Jones, McArthur, Л. П. Гончаренко, S. E. McDonald, et al.. (2023). Understanding Nighttime Ionospheric Depletions Associated With Sudden Stratospheric Warmings in the American Sector. Journal of Geophysical Research Space Physics. 128(6). 4 indexed citations
11.
Chou, Min‐Yang, Jia Yue, Fabrizio Sassi, et al.. (2023). Modeling the Day‐To‐Day Variability of Midnight Equatorial Plasma Bubbles With SAMI3/SD‐WACCM‐X. Journal of Geophysical Research Space Physics. 128(5). 9 indexed citations
12.
Lay, E. H., Jeffery D. Tippmann, Kyle Wiens, et al.. (2022). New Lightning‐Derived Vertical Total Electron Content Data Provide Unique Global Ionospheric Measurements. Space Weather. 20(5). 4 indexed citations
13.
Chartier, Alex T., Seebany Datta‐Barua, S. E. McDonald, et al.. (2021). Night‐Time Ionospheric Localized Enhancements (NILE) Observed in North America Following Geomagnetic Disturbances. Journal of Geophysical Research Space Physics. 126(9). e2021JA029324–e2021JA029324. 10 indexed citations
14.
Zawdie, Kate, Manbharat Dhadly, S. E. McDonald, et al.. (2020). Day-to-day variability of the bottomside ionosphere. Journal of Atmospheric and Solar-Terrestrial Physics. 205. 105299–105299. 6 indexed citations
15.
Sassi, Fabrizio, J. P. McCormack, & S. E. McDonald. (2019). Whole Atmosphere Coupling on Intraseasonal and Interseasonal Time Scales: A Potential Source of Increased Predictive Capability. Radio Science. 54(11). 913–933. 28 indexed citations
16.
Jones, McArthur, D. P. Drob, D. E. Siskind, et al.. (2018). Evaluating Different Techniques for Constraining Lower Atmospheric Variability in an Upper Atmosphere General Circulation Model: A Case Study During the 2010 Sudden Stratospheric Warming. Journal of Advances in Modeling Earth Systems. 10(12). 3076–3102. 16 indexed citations
17.
Emmert, J. T., A. J. Mannucci, S. E. McDonald, & Panagiotis Vergados. (2017). Attribution of interminimum changes in global and hemispheric total electron content. Journal of Geophysical Research Space Physics. 122(2). 2424–2439. 36 indexed citations
18.
Dymond, K. F., et al.. (2017). Evaluation of the performance of ionospheric models at solar maximum using COSMIC slant TEC measurements. Radio Science. 52(3). 378–388. 2 indexed citations
19.
Coker, C., K. F. Dymond, S. A. Budzien, et al.. (2010). Forecasting the Ionosphere and Scintillation Globally: Reaching the Next Level. AGUFM. 2010. 3 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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