D. L. Hampton

5.3k total citations
118 papers, 2.6k citations indexed

About

D. L. Hampton is a scholar working on Astronomy and Astrophysics, Geophysics and Atmospheric Science. According to data from OpenAlex, D. L. Hampton has authored 118 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Astronomy and Astrophysics, 40 papers in Geophysics and 24 papers in Atmospheric Science. Recurrent topics in D. L. Hampton's work include Ionosphere and magnetosphere dynamics (83 papers), Solar and Space Plasma Dynamics (45 papers) and Earthquake Detection and Analysis (38 papers). D. L. Hampton is often cited by papers focused on Ionosphere and magnetosphere dynamics (83 papers), Solar and Space Plasma Dynamics (45 papers) and Earthquake Detection and Analysis (38 papers). D. L. Hampton collaborates with scholars based in United States, Canada and Japan. D. L. Hampton's co-authors include E. M. Wescott, D. D. Sentman, M. Heavner, Danny Osborne, M. Conde, M. J. Nicolls, W. A. Bristow, Y. Nishimura, O. H. Vaughan and H. C. Stenbaek‐Nielsen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

D. L. Hampton

109 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. L. Hampton United States 26 2.4k 627 515 341 303 118 2.6k
Torsten Neubert Denmark 33 3.1k 1.3× 786 1.3× 702 1.4× 402 1.2× 431 1.4× 187 3.7k
A. R. Jacobson United States 25 1.7k 0.7× 617 1.0× 587 1.1× 268 0.8× 120 0.4× 100 2.1k
H. C. Stenbaek‐Nielsen United States 35 3.4k 1.4× 834 1.3× 724 1.4× 441 1.3× 367 1.2× 145 3.7k
G. M. Milikh United States 29 2.3k 0.9× 618 1.0× 319 0.6× 119 0.3× 257 0.8× 103 2.6k
M. B. Cohen United States 27 1.8k 0.7× 1.2k 1.9× 311 0.6× 186 0.5× 114 0.4× 123 2.2k
Nikolai Østgaard Norway 33 3.1k 1.3× 724 1.2× 302 0.6× 246 0.7× 1.1k 3.6× 167 3.2k
D. D. Sentman United States 36 3.8k 1.6× 820 1.3× 1.0k 2.0× 398 1.2× 317 1.0× 82 4.0k
R. L. Dowden New Zealand 29 2.7k 1.1× 1.3k 2.0× 879 1.7× 459 1.3× 228 0.8× 115 3.1k
H. K. Rassoul United States 34 3.5k 1.5× 760 1.2× 545 1.1× 243 0.7× 307 1.0× 117 3.7k
H. Fukunishi Japan 38 4.4k 1.8× 1.5k 2.4× 910 1.8× 586 1.7× 1.2k 4.1× 212 4.7k

Countries citing papers authored by D. L. Hampton

Since Specialization
Citations

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

Fields of papers citing papers by D. L. Hampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. L. Hampton

This figure shows the co-authorship network connecting the top 25 collaborators of D. L. Hampton. A scholar is included among the top collaborators of D. L. Hampton 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 D. L. Hampton. D. L. Hampton 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.
Gowtam, V. Sai, Hyunju Connor, B. Kunduri, et al.. (2024). Calculating the High‐Latitude Ionospheric Electrodynamics Using a Machine Learning‐Based Field‐Aligned Current Model. Space Weather. 22(4). 1 indexed citations
2.
Zettergren, M. D., Y. Nishimura, J. L. Semeter, et al.. (2024). Model‐Based Investigation of Electron Precipitation‐Driven Density Structures and Their Effects on Auroral Scintillation. Journal of Geophysical Research Space Physics. 129(7). 3 indexed citations
3.
English, A. T., et al.. (2024). Automated Nighttime Cloud Detection Using Keograms When Aurora Is Present. Earth and Space Science. 11(1). 1 indexed citations
4.
5.
Coughlan, Michael, A. M. Keesee, V. A. Pinto, et al.. (2023). Probabilistic Forecasting of Ground Magnetic Perturbation Spikes at Mid‐Latitude Stations. Space Weather. 21(6). 3 indexed citations
6.
7.
Nishimura, Y., Boyi Wang, Kyoung‐Joo Hwang, et al.. (2022). Identifying the Structure and Propagation of Dawnside Pc5 ULF Waves Using Space‐Ground Conjunctions. Journal of Geophysical Research Space Physics. 127(12). 7 indexed citations
8.
Zhou, X., Sir B. Rafol, R. Michell, et al.. (2020). Balloons in the Earth's Auroral Science—BALBOA's Modern Exploration. Journal of Geophysical Research Space Physics. 125(10). 1 indexed citations
9.
Gillies, D. M., E. Donovan, D. L. Hampton, et al.. (2019). First Observations From the TREx Spectrograph: The Optical Spectrum of STEVE and the Picket Fence Phenomena. Geophysical Research Letters. 46(13). 7207–7213. 57 indexed citations
10.
Lynch, K. A., M. D. Zettergren, M. Conde, et al.. (2019). Two‐Dimensional Maps of In Situ Ionospheric Plasma Flow Data Near Auroral Arcs Using Auroral Imagery. Journal of Geophysical Research Space Physics. 124(4). 3036–3056. 13 indexed citations
11.
Mrak, Sebastijan, J. L. Semeter, Michael Hirsch, et al.. (2018). Field‐Aligned GPS Scintillation: Multisensor Data Fusion. Journal of Geophysical Research Space Physics. 123(1). 974–992. 16 indexed citations
12.
Triplett, Colin, R. L. Collins, G. A. Lehmacher, et al.. (2018). Observations of Reduced Turbulence and Wave Activity in the Arctic Middle Atmosphere Following the January 2015 Sudden Stratospheric Warming. Journal of Geophysical Research Atmospheres. 123(23). 13259–13276. 10 indexed citations
13.
Hecht, J. H., J. H. Clemmons, M. Conde, et al.. (2018). Observations of Spatial Variations in O/N2 During an Auroral Substorm Using the Multichannel Downlooking Camera on the VISIONS Rocket. Journal of Geophysical Research Space Physics. 123(8). 7089–7105. 1 indexed citations
14.
Bristow, W. A., et al.. (2018). High‐Resolution Local Measurements of F Region Ion Temperatures and Joule Heating Rates Using SuperDARN and Ground‐Based Optics. Journal of Geophysical Research Space Physics. 124(1). 557–572. 7 indexed citations
15.
King, Brian, et al.. (2018). Analysis of TEC content in the atmosphere during high solar activity.. AGUFM. 2018.
16.
Pfaff, R. F., D. E. Rowland, J. Klenzing, et al.. (2018). A Large Amplitude (>300 M/S) Neutral Wind "Jet" Observed Near 130 km Altitude and Associated DC Electric Fields, Energetic Electron and Other Measurements Revealed by a Vapor Trail and Dual Sounding Rocket and Ground-Based Instruments in the Auroral Zone Lower Ionosphere. AGUFM. 2018. 1 indexed citations
17.
Spanswick, E., E. Donovan, A. T. Weatherwax, et al.. (2018). First-Light Observations from the Transition Region Explorer (TREx) Ground-Based Network. AGU Fall Meeting Abstracts. 2018. 3 indexed citations
18.
Semeter, J. L., Sebastijan Mrak, Michael Hirsch, et al.. (2017). GPS Signal Corruption by the Discrete Aurora: Precise Measurements From the Mahali Experiment. Geophysical Research Letters. 44(19). 9539–9546. 25 indexed citations
19.
Lessard, M., K. A. Lynch, D. L. Hysell, et al.. (2017). Examination of Cross-Scale Coupling During Auroral Events using RENU2 and ISINGLASS Sounding Rocket Data.. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
20.
Kataoka, Ryuho, Yoshizumi Miyoshi, D. L. Hampton, et al.. (2017). First evidence of patchy flickering aurora modulated by multi‐ion electromagnetic ion cyclotron waves. Geophysical Research Letters. 44(9). 3963–3970. 5 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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