E. K. Sutton

3.3k total citations
102 papers, 2.4k citations indexed

About

E. K. Sutton is a scholar working on Astronomy and Astrophysics, Oceanography and Molecular Biology. According to data from OpenAlex, E. K. Sutton has authored 102 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Astronomy and Astrophysics, 38 papers in Oceanography and 28 papers in Molecular Biology. Recurrent topics in E. K. Sutton's work include Ionosphere and magnetosphere dynamics (79 papers), Solar and Space Plasma Dynamics (58 papers) and Geophysics and Gravity Measurements (37 papers). E. K. Sutton is often cited by papers focused on Ionosphere and magnetosphere dynamics (79 papers), Solar and Space Plasma Dynamics (58 papers) and Geophysics and Gravity Measurements (37 papers). E. K. Sutton collaborates with scholars based in United States, China and France. E. K. Sutton's co-authors include J. M. Forbes, R. S. Nerem, Jiuhou Lei, J. P. Thayer, Piyush M. Mehta, Wenbin Wang, T. N. Woods, D. R. Weimer, D. J. Knipp and Sean Bruinsma and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and AIAA Journal.

In The Last Decade

E. K. Sutton

93 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. K. Sutton United States 27 2.3k 749 671 406 372 102 2.4k
Eelco Doornbos Netherlands 30 2.4k 1.1× 693 0.9× 973 1.5× 567 1.4× 556 1.5× 75 2.7k
J. E. Salah United States 25 2.3k 1.0× 521 0.7× 395 0.6× 563 1.4× 637 1.7× 63 2.4k
R. E. Daniell United States 30 2.4k 1.1× 428 0.6× 201 0.3× 550 1.4× 473 1.3× 75 2.5k
L. B. N. Clausen Norway 30 2.3k 1.0× 1.0k 1.4× 208 0.3× 880 2.2× 126 0.3× 118 2.4k
David Altadill Spain 25 3.1k 1.4× 701 0.9× 524 0.8× 1.8k 4.5× 382 1.0× 110 3.3k
B. A. Emery United States 37 3.5k 1.5× 1.4k 1.9× 270 0.4× 1.0k 2.6× 566 1.5× 95 3.5k
K. A. McWilliams Canada 22 2.1k 0.9× 834 1.1× 158 0.2× 668 1.6× 164 0.4× 96 2.1k
G. Chisham United Kingdom 24 2.0k 0.9× 814 1.1× 168 0.3× 715 1.8× 180 0.5× 73 2.0k
J. P. Villain France 25 3.0k 1.3× 998 1.3× 310 0.5× 1.2k 3.0× 195 0.5× 54 3.1k
M. Conde United States 23 1.7k 0.7× 461 0.6× 304 0.5× 479 1.2× 629 1.7× 95 1.8k

Countries citing papers authored by E. K. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by E. K. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. K. Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of E. K. Sutton. A scholar is included among the top collaborators of E. K. Sutton 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 E. K. Sutton. E. K. Sutton 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.
Connor, Hyunju, et al.. (2024). Storm-time variability of terrestrial hydrogen exosphere: kinetic simulation results. Frontiers in Astronomy and Space Sciences. 11. 2 indexed citations
2.
Thayer, J. P., et al.. (2024). Distinguishing Density and Wind Perturbations in the Equatorial Thermosphere Anomaly. Journal of Geophysical Research Space Physics. 129(6). 2 indexed citations
3.
4.
Garcia‐Sage, Katherine, J. P. Thayer, E. K. Sutton, et al.. (2024). Assessing Thermospheric Neutral Density Models Using GEODYN's Precision Orbit Determination. Space Weather. 22(2). 1 indexed citations
5.
Axelrad, Penina, et al.. (2023). Physics‐Based Approach to Thermospheric Density Estimation Using CubeSat GPS Data. Space Weather. 21(1). 1 indexed citations
6.
Garcia‐Sage, Katherine, J. P. Thayer, E. K. Sutton, et al.. (2023). Data archive accompanying "Assessing Thermospheric Neutral Density Models using GEODYN's Precision Orbit Determination". Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Berger, Thomas, Marie Dominique, Greg Lucas, et al.. (2023). The Thermosphere Is a Drag: The 2022 Starlink Incident and the Threat of Geomagnetic Storms to Low Earth Orbit Space Operations. Space Weather. 21(3). 26 indexed citations
8.
Sutton, E. K., et al.. (2021). Toward Accurate Physics‐Based Specifications of Neutral Density Using GNSS‐Enabled Small Satellites. Space Weather. 19(6). 10 indexed citations
9.
Pilinski, Marcin, et al.. (2019). Dragster: An Assimilative Tool for Satellite Drag Specification. Advanced Maui Optical and Space Surveillance Technologies Conference. 70. 1 indexed citations
10.
Lin, C. S., E. K. Sutton, C. Y. Huang, & D. L. Cooke. (2018). Occurrence Locations, Dipole Tilt Angle Effects, and Plasma Cloud Drift Paths of Polar Cap Neutral Density Anomalies. Journal of Geophysical Research Space Physics. 123(2). 1627–1647. 3 indexed citations
11.
Weimer, D. R., M. G. Mlynczak, J. T. Emmert, et al.. (2018). Correlations Between the Thermosphere's Semiannual Density Variations and Infrared Emissions Measured With the SABER Instrument. Journal of Geophysical Research Space Physics. 123(10). 8850–8864. 12 indexed citations
12.
Huang, C. Y., et al.. (2017). High‐Latitude Neutral Mass Density Maxima. Journal of Geophysical Research Space Physics. 122(10). 6 indexed citations
13.
Lei, Jiuhou, et al.. (2017). An exospheric temperature model from CHAMP thermospheric density. Space Weather. 15(2). 343–351. 17 indexed citations
14.
Weimer, D. R., E. K. Sutton, M. G. Mlynczak, & L. A. Hunt. (2016). Intercalibration of neutral density measurements for mapping the thermosphere. Journal of Geophysical Research Space Physics. 121(6). 5975–5990. 25 indexed citations
15.
Pilinski, Marcin, G. Crowley, E. K. Sutton, & M. Codrescu. (2016). Improved Orbit Determination and Forecasts with an Assimilative Tool for Satellite Drag Specification. amos. 104. 1 indexed citations
16.
Huang, C. Y., et al.. (2015). Energy Flow in the Magnetosphere-Ionosphere-Thermosphere (MIT) System. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
17.
Koller, J., S. Brennan, David Higdon, et al.. (2011). IMPACT: Integrated Modeling of Perturbations in Atmospheres for Conjunction Tracking. AGU Fall Meeting Abstracts. 2011. 1 indexed citations
18.
Shim, J. S., M. M. Kuznetsova, L. Rastäetter, et al.. (2010). CEDAR Electrodynamics Thermosphere Ionosphere (ETI) Challenge for Systematic Assessment of Ionospheric Models. AGUFM. 2010. 4 indexed citations
19.
Sutton, E. K., et al.. (2010). Wave Activity in the Thermosphere from Solar Maximum through Minimum. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
20.
Sutton, E. K., et al.. (2010). A CubeSat Constellation to Investigate the Atmospheric Drag Environment. Current Pain and Headache Reports. 11(1). 14–9. 2 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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