G. K. Stephens

656 total citations
28 papers, 377 citations indexed

About

G. K. Stephens is a scholar working on Astronomy and Astrophysics, Molecular Biology and Geophysics. According to data from OpenAlex, G. K. Stephens has authored 28 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Astronomy and Astrophysics, 19 papers in Molecular Biology and 11 papers in Geophysics. Recurrent topics in G. K. Stephens's work include Ionosphere and magnetosphere dynamics (21 papers), Geomagnetism and Paleomagnetism Studies (19 papers) and Solar and Space Plasma Dynamics (14 papers). G. K. Stephens is often cited by papers focused on Ionosphere and magnetosphere dynamics (21 papers), Geomagnetism and Paleomagnetism Studies (19 papers) and Solar and Space Plasma Dynamics (14 papers). G. K. Stephens collaborates with scholars based in United States, Russia and Austria. G. K. Stephens's co-authors include M. I. Sitnov, N. A. Tsyganenko, A. Y. Ukhorskiy, H. Korth, T. Motoba, V. G. Merkin, S. Ohtani, M. Gkioulidou, M. Swisdak and E. C. Roelof and has published in prestigious journals such as Geophysical Research Letters, Space Science Reviews and Planetary and Space Science.

In The Last Decade

G. K. Stephens

23 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. K. Stephens United States 11 369 187 114 32 18 28 377
M. V. D. Silveira United States 10 298 0.8× 137 0.7× 121 1.1× 22 0.7× 17 0.9× 29 318
Nick Omidi United States 9 346 0.9× 101 0.5× 67 0.6× 17 0.5× 19 1.1× 11 361
J. R. Woodroffe United States 11 284 0.8× 120 0.6× 124 1.1× 18 0.6× 35 1.9× 23 311
C. Lemon United States 12 551 1.5× 239 1.3× 195 1.7× 51 1.6× 39 2.2× 23 587
Anita Kullen Sweden 16 726 2.0× 426 2.3× 97 0.9× 35 1.1× 22 1.2× 47 738
Akiko Fujimoto Japan 9 225 0.6× 87 0.5× 123 1.1× 19 0.6× 20 1.1× 29 244
Jeffrey Garretson United States 9 363 1.0× 175 0.9× 123 1.1× 24 0.8× 21 1.2× 15 380
D. G. Baishev Russia 11 314 0.9× 125 0.7× 145 1.3× 23 0.7× 21 1.2× 49 323
Ulrich Taubenschuss Czechia 13 381 1.0× 110 0.6× 146 1.3× 22 0.7× 28 1.6× 31 397
Hugo Breuillard France 9 451 1.2× 157 0.8× 176 1.5× 25 0.8× 25 1.4× 10 454

Countries citing papers authored by G. K. Stephens

Since Specialization
Citations

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

Fields of papers citing papers by G. K. Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. K. Stephens

This figure shows the co-authorship network connecting the top 25 collaborators of G. K. Stephens. A scholar is included among the top collaborators of G. K. Stephens 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 G. K. Stephens. G. K. Stephens 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.
Shumko, Mykhaylo, Anton Artemyev, Savvas Raptis, et al.. (2025). On the Spatial Relationship Between the Aurora and Relativistic Electron Precipitation During a Storm‐Time Substorm. Geophysical Research Letters. 52(17).
2.
Sitnov, M. I., G. K. Stephens, Anton Artemyev, T. Motoba, & N. A. Tsyganenko. (2025). Global Structure of the Cislunar Magnetotail and Its Evolution During Substorms. Journal of Geophysical Research Space Physics. 130(7).
3.
4.
Stephens, G. K. & H. Korth. (2024). An Empirical Model for Mercury’s Field‐Aligned Currents Derived From MESSENGER Magnetometer Data. Journal of Geophysical Research Space Physics. 129(2). 1 indexed citations
5.
Stephens, G. K. & Daniël N. Wilke. (2024). Improving Optimization-based Inverse Analysis using Direct Inverse Maps: A Dynamic Damage Identification Case Study. Acta Polytechnica Hungarica. 21(5). 71–87. 2 indexed citations
6.
Fuselier, S. A., S. M. Petrinec, P. H. Reiff, et al.. (2024). Global-Scale Processes and Effects of Magnetic Reconnection on the Geospace Environment. Space Science Reviews. 220(4). 9 indexed citations
7.
Sorathia, Kareem, et al.. (2023). Data Mining Inspired Localized Resistivity in Global MHD Simulations of the Magnetosphere. Journal of Geophysical Research Space Physics. 128(2). 5 indexed citations
8.
Stephens, G. K., M. I. Sitnov, R. S. Weigel, et al.. (2023). Global Structure of Magnetotail Reconnection Revealed by Mining Space Magnetometer Data. Journal of Geophysical Research Space Physics. 128(2). 10 indexed citations
9.
Stephens, G. K. & M. I. Sitnov. (2021). Concurrent Empirical Magnetic Reconstruction of Storm and Substorm Spatial Scales Using Data Mining and Virtual Spacecraft. Frontiers in Physics. 9. 8 indexed citations
10.
Tsyganenko, N. A., V. A. Andreeva, M. I. Sitnov, et al.. (2021). Reconstructing Substorms via Historical Data Mining: Is It Really Feasible?. Journal of Geophysical Research Space Physics. 126(10). 13 indexed citations
11.
Turner, D. L., I. J. Cohen, G. K. Stephens, et al.. (2020). Characteristics of Energetic Electrons Near Active Magnetotail Reconnection Sites: Tracers of a Complex Magnetic Topology and Evidence of Localized Acceleration. Geophysical Research Letters. 48(2). 10 indexed citations
12.
Sitnov, M. I., G. K. Stephens, N. A. Tsyganenko, et al.. (2020). Reconstruction of Extreme Geomagnetic Storms: Breaking the Data Paucity Curse. Space Weather. 18(10). 9 indexed citations
13.
Stephens, G. K., M. I. Sitnov, M. Gkioulidou, et al.. (2020). Storm Time Plasma Pressure Inferred From Multimission Measurements and Its Validation Using Van Allen Probes Particle Data. Space Weather. 18(12). 9 indexed citations
14.
Merkin, V. G., Kareem Sorathia, M. I. Sitnov, et al.. (2019). Global model of the storm-time magnetosphere with empirical ring current pressure. AGUFM. 2019. 1 indexed citations
15.
Barnes, R. J., et al.. (2018). Van Allen Probes Science Gateway. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
16.
Stephens, G. K., M. I. Sitnov, H. Korth, et al.. (2017). Multiscale empirical modeling of the geomagnetic field: From storms to substorms. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
17.
Stephens, G. K., D. Morrison, R. J. Barnes, M.E. Potter, & R. K. Schaefer. (2017). Up-to-date Geomagnetic Coordinate Transforms with AACGM. AGUFM. 2017.
18.
Wiltberger, M., V. G. Merkin, Binzheng Zhang, et al.. (2017). Effects of electrojet turbulence on a magnetosphere‐ionosphere simulation of a geomagnetic storm. Journal of Geophysical Research Space Physics. 122(5). 5008–5027. 43 indexed citations
19.
Denevi, B. W., N. L. Chabot, S. L. Murchie, et al.. (2017). Calibration, Projection, and Final Image Products of MESSENGER’s Mercury Dual Imaging System. Space Science Reviews. 214(1). 54 indexed citations
20.
Stephens, G. K., M. I. Sitnov, A. Y. Ukhorskiy, et al.. (2015). Empirical modeling of the storm time innermost magnetosphere using Van Allen Probes and THEMIS data: Eastward and banana currents. Journal of Geophysical Research Space Physics. 121(1). 157–170. 35 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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