E. S. Miller

1.5k total citations
39 papers, 1.0k citations indexed

About

E. S. Miller is a scholar working on Astronomy and Astrophysics, Geophysics and Aerospace Engineering. According to data from OpenAlex, E. S. Miller has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Astronomy and Astrophysics, 15 papers in Geophysics and 12 papers in Aerospace Engineering. Recurrent topics in E. S. Miller's work include Ionosphere and magnetosphere dynamics (32 papers), Solar and Space Plasma Dynamics (18 papers) and Earthquake Detection and Analysis (14 papers). E. S. Miller is often cited by papers focused on Ionosphere and magnetosphere dynamics (32 papers), Solar and Space Plasma Dynamics (18 papers) and Earthquake Detection and Analysis (14 papers). E. S. Miller collaborates with scholars based in United States, United Kingdom and Japan. E. S. Miller's co-authors include J. J. Makela, M. C. Kelley, J. M. Ruohoniemi, N. A. Frissell, J. B. H. Baker, E. R. Talaat, A. J. Gerrard, W. A. Bristow, L. J. Paxton and R. A. Greenwald and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

E. S. Miller

38 papers receiving 988 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. S. Miller United States 19 902 425 376 186 131 39 1.0k
Marco Milla Peru 18 728 0.8× 356 0.8× 259 0.7× 92 0.5× 157 1.2× 80 900
G. Khmyrov United States 9 584 0.6× 328 0.8× 285 0.8× 108 0.6× 89 0.7× 15 623
Sushil Kumar Fiji 21 878 1.0× 238 0.6× 623 1.7× 121 0.7× 73 0.6× 83 1.1k
A. W. V. Poole South Africa 17 753 0.8× 357 0.8× 509 1.4× 239 1.3× 130 1.0× 23 830
B. Damtie Ethiopia 17 686 0.8× 390 0.9× 338 0.9× 164 0.9× 180 1.4× 42 809
H.J. Strangeways United Kingdom 20 833 0.9× 569 1.3× 345 0.9× 92 0.5× 226 1.7× 81 974
E. G. Thomas United States 19 1.2k 1.3× 455 1.1× 518 1.4× 429 2.3× 138 1.1× 58 1.3k
Yuannong Zhang China 15 436 0.5× 237 0.6× 275 0.7× 46 0.2× 61 0.5× 65 529
Biagio Forte United Kingdom 15 619 0.7× 651 1.5× 201 0.5× 66 0.4× 290 2.2× 46 808
M. A. Cervera Australia 15 703 0.8× 349 0.8× 149 0.4× 61 0.3× 147 1.1× 46 798

Countries citing papers authored by E. S. Miller

Since Specialization
Citations

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

Fields of papers citing papers by E. S. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of E. S. Miller. A scholar is included among the top collaborators of E. S. Miller 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. S. Miller. E. S. Miller 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.
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Kaeppler, Stephen, et al.. (2022). On the use of high-frequency surface wave oceanographic research radars as bistatic single-frequency oblique ionospheric sounders. Atmospheric measurement techniques. 15(15). 4531–4545. 1 indexed citations
3.
4.
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
5.
Kaeppler, Stephen, et al.. (2020). An Estimation of Human‐Error Contributions to Historical Ionospheric Data. Earth and Space Science. 7(10). 4 indexed citations
6.
Frissell, N. A., et al.. (2019). High‐Frequency Communications Response to Solar Activity in September 2017 as Observed by Amateur Radio Networks. Space Weather. 17(1). 118–132. 37 indexed citations
7.
Нишитани, Н., J. M. Ruohoniemi, M. Lester, et al.. (2019). Review of the accomplishments of mid-latitude Super Dual Auroral Radar Network (SuperDARN) HF radars. Progress in Earth and Planetary Science. 6(1). 154 indexed citations
8.
Frissell, N. A., Joshua Katz, A. J. Gerrard, et al.. (2018). Modeling Amateur Radio Soundings of the Ionospheric Response to the 2017 Great American Eclipse. Geophysical Research Letters. 45(10). 4665–4674. 12 indexed citations
9.
Chartier, Alex T., Cathryn N. Mitchell, & E. S. Miller. (2018). Annual Occurrence Rates of Ionospheric Polar Cap Patches Observed Using Swarm. Journal of Geophysical Research Space Physics. 123(3). 2327–2335. 33 indexed citations
10.
Bernhardt, P. A., C. L. Siefring, Juha Vierinen, et al.. (2017). Bistatic observations of the ocean surface with HF radar, satellite and airborne receivers. Duo Research Archive (University of Oslo). 4 indexed citations
11.
Mitchell, Cathryn N., et al.. (2017). Ionospheric data assimilation applied to HF geolocation in the presence of traveling ionospheric disturbances. Radio Science. 52(7). 829–840. 13 indexed citations
12.
Perry, G. W., et al.. (2016). HF radar transmissions that deviate from great-circle paths: new insight from e-POP RRI. AGUFM. 1 indexed citations
13.
Frissell, N. A., et al.. (2015). e-POP Radio Science Using Amateur Radio Transmissions. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
14.
Bruntz, R., L. J. Paxton, E. S. Miller, G. S. Bust, & H. G. Mayr. (2015). Investigating Gravity Wave-Ionosphere Interactions Using The Transfer Function Model And An Ionosphere Model. 2015 AGU Fall Meeting. 2015. 2 indexed citations
15.
Kil, H., et al.. (2015). The causal relationship between plasma bubbles and blobs in the low‐latitude F region during a solar minimum. Journal of Geophysical Research Space Physics. 120(5). 3961–3969. 14 indexed citations
16.
Kil, H., Heeyoul Choi, R. A. Heelis, et al.. (2011). Onset conditions of bubbles and blobs: A case study on 2 March 2009. Geophysical Research Letters. 38(6). n/a–n/a. 29 indexed citations
17.
Makela, J. J., et al.. (2009). The Remote Equatorial Nighttime Observatory of Ionospheric Regions Project and the International Heliospherical Year. Earth Moon and Planets. 104(1-4). 211–226. 33 indexed citations
18.
Basu, Su., Sarbani Basu, J. D. Huba, et al.. (2009). Day‐to‐day variability of the equatorial ionization anomaly and scintillations at dusk observed by GUVI and modeling by SAMI3. Journal of Geophysical Research Atmospheres. 114(A4). 59 indexed citations
19.
Miller, E. S., J. J. Makela, & M. C. Kelley. (2009). Seeding of equatorial plasma depletions by polarization electric fields from middle latitudes: Experimental evidence. Geophysical Research Letters. 36(18). 59 indexed citations
20.
Makela, J. J. & E. S. Miller. (2008). Optical observations of the growth and day‐to‐day variability of equatorial plasma bubbles. Journal of Geophysical Research Atmospheres. 113(A3). 37 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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