A. M. Keesee

1.6k total citations
54 papers, 1.2k citations indexed

About

A. M. Keesee is a scholar working on Astronomy and Astrophysics, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, A. M. Keesee has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Astronomy and Astrophysics, 20 papers in Electrical and Electronic Engineering and 17 papers in Molecular Biology. Recurrent topics in A. M. Keesee's work include Ionosphere and magnetosphere dynamics (32 papers), Plasma Diagnostics and Applications (19 papers) and Geomagnetism and Paleomagnetism Studies (17 papers). A. M. Keesee is often cited by papers focused on Ionosphere and magnetosphere dynamics (32 papers), Plasma Diagnostics and Applications (19 papers) and Geomagnetism and Paleomagnetism Studies (17 papers). A. M. Keesee collaborates with scholars based in United States, Australia and Norway. A. M. Keesee's co-authors include Earl Scime, Xuan Sun, Robert Boivin, Costel Biloiu, Christine Charles, Rod Boswell, Albert Meige, J. L. Kline, R. Maingi and Hyunju Connor and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

A. M. Keesee

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. M. Keesee United States 20 572 564 437 317 228 54 1.2k
D. N. Walker United States 18 585 1.0× 418 0.7× 293 0.7× 237 0.7× 118 0.5× 58 915
M. V. Alves Brazil 13 513 0.9× 485 0.9× 109 0.2× 201 0.6× 133 0.6× 55 1.1k
A. W. Degeling China 25 1.1k 2.0× 407 0.7× 439 1.0× 183 0.6× 114 0.5× 89 1.7k
F. Skiff United States 19 524 0.9× 211 0.4× 432 1.0× 361 1.1× 148 0.6× 87 925
Patrick Pribyl United States 23 1.2k 2.1× 418 0.7× 1.3k 2.9× 276 0.9× 240 1.1× 83 1.8k
J. G. Laframboise Canada 18 642 1.1× 676 1.2× 188 0.4× 474 1.5× 242 1.1× 58 1.2k
S. Vincena United States 23 1.1k 1.9× 241 0.4× 820 1.9× 262 0.8× 244 1.1× 85 1.4k
J. M. Urrutia United States 21 957 1.7× 595 1.1× 791 1.8× 329 1.0× 101 0.4× 93 1.3k
D. L. Cooke United States 19 857 1.5× 303 0.5× 69 0.2× 95 0.3× 69 0.3× 87 1.2k
Timothy Coffey United States 14 698 1.2× 142 0.3× 310 0.7× 309 1.0× 130 0.6× 36 1.0k

Countries citing papers authored by A. M. Keesee

Since Specialization
Citations

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

Fields of papers citing papers by A. M. Keesee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. M. Keesee. 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 A. M. Keesee. The network helps show where A. M. Keesee may publish in the future.

Co-authorship network of co-authors of A. M. Keesee

This figure shows the co-authorship network connecting the top 25 collaborators of A. M. Keesee. A scholar is included among the top collaborators of A. M. Keesee 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 A. M. Keesee. A. M. Keesee 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.
Smith, A. W., I. J. Rae, C. Forsyth, et al.. (2024). Space Weather Forecasts of Ground Level Space Weather in the UK: Evaluating Performance and Limitations. Space Weather. 22(11). 1 indexed citations
3.
Johnson, Jeremiah, et al.. (2024). Automatic Detection and Classification of Aurora in THEMIS All‐Sky Images. SHILAP Revista de lepidopterología. 1(4).
4.
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
5.
Sorathia, Kareem, Adam Michael, V. G. Merkin, et al.. (2023). Multiscale Magnetosphere‐Ionosphere Coupling During Stormtime: A Case Study of the Dawnside Current Wedge. Journal of Geophysical Research Space Physics. 128(11). 17 indexed citations
6.
Connor, Hyunju, et al.. (2022). Multi-Variate LSTM Prediction of Alaska Magnetometer Chain Utilizing a Coupled Model Approach. Frontiers in Astronomy and Space Sciences. 9. 9 indexed citations
7.
Keesee, A. M., et al.. (2020). Database of Storm Time Equatorial Ion Temperatures in Earth's Magnetosphere Calculated From Energetic Neutral Atom Data. Journal of Geophysical Research Space Physics. 125(9). 3 indexed citations
8.
Keesee, A. M., et al.. (2018). Micro-spectrometer for fusion plasma boundary measurements. Review of Scientific Instruments. 89(10). 10J116–10J116.
9.
Keesee, A. M., R. M. Katus, & Earl Scime. (2017). The Effect of Storm Driver and Intensity on Magnetospheric Ion Temperatures. Journal of Geophysical Research Space Physics. 122(9). 9414–9426. 1 indexed citations
10.
Scime, Earl, et al.. (2016). A micro-scale plasma spectrometer for space and plasma edge applications (invited). Review of Scientific Instruments. 87(11). 11D302–11D302. 1 indexed citations
11.
Scime, Earl, et al.. (2016). Key elements of a low voltage, ultracompact plasma spectrometer. Journal of Geophysical Research Space Physics. 121(2). 1452–1465. 1 indexed citations
12.
Scime, Earl, Jerry Carr, Saikat Chakraborty Thakur, et al.. (2010). Time-resolved measurements of double layer evolution in expanding plasma. Physics of Plasmas. 17(5). 27 indexed citations
13.
Sciamma-O’Brien, Ella, Roger D. Bengtson, W. L. Rowan, et al.. (2008). Method to estimate the electron temperature and neutral density in a plasma from spectroscopic measurements using argon atom and ion collisional-radiative models. Review of Scientific Instruments. 79(10). 10E324–10E324. 4 indexed citations
14.
Scime, Earl, Robert Hardin, Costel Biloiu, A. M. Keesee, & Xuan Sun. (2007). Flow, flow shear, and related profiles in helicon plasmas. Physics of Plasmas. 14(4). 40 indexed citations
15.
Keesee, A. M., Earl Scime, & Annemie Bogaerts. (2005). Neutral density profiles in a helicon source. Bulletin of the American Physical Society. 47. 1 indexed citations
16.
Sun, Xuan, A. M. Keesee, Costel Biloiu, et al.. (2005). Observations of Ion-Beam Formation in a Current-Free Double Layer. Physical Review Letters. 95(2). 25004–25004. 135 indexed citations
17.
Keesee, A. M., Earl Scime, Christine Charles, Albert Meige, & Rod Boswell. (2005). The ion velocity distribution function in a current-free double layer. Physics of Plasmas. 12(9). 42 indexed citations
18.
Zweben, S. J., R. J. Maqueda, D.P. Stotler, et al.. (2003). High-speed imaging of edge turbulence in NSTX. Nuclear Fusion. 44(1). 134–153. 226 indexed citations
19.
Kline, J. L., Earl Scime, Robert Boivin, et al.. (2002). rf Absorption and Ion Heating in Helicon Sources. Physical Review Letters. 88(19). 195002–195002. 71 indexed citations
20.
Scime, Earl, A. M. Keesee, J. M. Jahn, et al.. (2002). Remote ion temperature measurements of Earth's magnetosphere: Medium energy neutral atom (MENA) images. Geophysical Research Letters. 29(10). 24 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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