Cooper Downs

2.5k total citations
70 papers, 1.3k citations indexed

About

Cooper Downs is a scholar working on Astronomy and Astrophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Cooper Downs has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Astronomy and Astrophysics, 20 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Cooper Downs's work include Solar and Space Plasma Dynamics (69 papers), Ionosphere and magnetosphere dynamics (38 papers) and Stellar, planetary, and galactic studies (26 papers). Cooper Downs is often cited by papers focused on Solar and Space Plasma Dynamics (69 papers), Ionosphere and magnetosphere dynamics (38 papers) and Stellar, planetary, and galactic studies (26 papers). Cooper Downs collaborates with scholars based in United States, United Kingdom and Germany. Cooper Downs's co-authors include J. A. Linker, R. Lionello, Z. Mikić, Pete Riley, Ronald M. Caplan, Noé Lugaz, И. В. Соколов, I. I. Roussev, B. van der Holst and Tibor Török and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and The Astrophysical Journal.

In The Last Decade

Cooper Downs

68 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
Cooper Downs United States 23 1.3k 285 138 54 41 70 1.3k
Yang Guo China 27 1.7k 1.3× 486 1.7× 125 0.9× 37 0.7× 23 0.6× 90 1.7k
Jiangtao Su China 20 1.3k 1.0× 353 1.2× 141 1.0× 44 0.8× 38 0.9× 95 1.3k
M. Knölker Germany 19 1.3k 1.0× 318 1.1× 247 1.8× 47 0.9× 61 1.5× 44 1.4k
A. A. Norton United States 20 1.4k 1.1× 453 1.6× 251 1.8× 81 1.5× 32 0.8× 52 1.4k
Patrick Antolin United Kingdom 29 2.0k 1.5× 543 1.9× 121 0.9× 66 1.2× 63 1.5× 78 2.0k
Anthony R. Yeates United Kingdom 22 1.2k 0.9× 562 2.0× 110 0.8× 57 1.1× 26 0.6× 69 1.2k
K. Reardon United States 20 1.5k 1.1× 256 0.9× 209 1.5× 45 0.8× 56 1.4× 84 1.5k
S. Patsourakos United States 26 2.3k 1.8× 418 1.5× 197 1.4× 41 0.8× 62 1.5× 66 2.3k
M. Sobotka Czechia 18 879 0.7× 159 0.6× 278 2.0× 62 1.1× 29 0.7× 75 938
Durgesh Tripathi India 25 1.8k 1.4× 357 1.3× 138 1.0× 15 0.3× 54 1.3× 78 1.8k

Countries citing papers authored by Cooper Downs

Since Specialization
Citations

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

Fields of papers citing papers by Cooper Downs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cooper Downs. 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 Cooper Downs. The network helps show where Cooper Downs may publish in the future.

Co-authorship network of co-authors of Cooper Downs

This figure shows the co-authorship network connecting the top 25 collaborators of Cooper Downs. A scholar is included among the top collaborators of Cooper Downs 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 Cooper Downs. Cooper Downs 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.
Veronig, Astrid, Karin Dissauer, B. Kliem, et al.. (2025). Coronal dimmings and what they tell us about solar and stellar coronal mass ejections. PubMed. 22(1). 2–2. 3 indexed citations
2.
Uritsky, V. M., et al.. (2025). The Quasi-radial Field-line Tracing (QRaFT): An Adaptive Segmentation of the Open-flux Solar Corona. The Astrophysical Journal. 995(1). 75–75.
3.
Jones, Shaela I., Ronald M. Caplan, C. N. Arge, et al.. (2024). Quantitative Comparisons between WSA Implementations. The Astrophysical Journal. 970(1). 35–35. 2 indexed citations
4.
Török, Tibor, M. G. Linton, J. E. Leake, et al.. (2024). Solar Eruptions Triggered by Flux Emergence below or near a Coronal Flux Rope. The Astrophysical Journal. 962(2). 149–149. 7 indexed citations
5.
Downs, Cooper, et al.. (2023). The Solar Minimum Eclipse of 2019 July 2. III. Inferring the Coronal T e with a Radiative Differential Emission Measure Inversion. The Astrophysical Journal. 951(1). 55–55. 7 indexed citations
6.
Ugarte‐Urra, Ignacio, Peter R. Young, David H. Brooks, et al.. (2023). The case for solar full-disk spectral diagnostics: Chromosphere to corona. Frontiers in Astronomy and Space Sciences. 9. 2 indexed citations
7.
Ben-Nun, M., Tibor Török, Erika Palmerio, et al.. (2023). Deflection of Coronal Mass Ejections in Unipolar Ambient Magnetic Fields. The Astrophysical Journal. 957(2). 74–74. 2 indexed citations
8.
Linker, J. A., Pete Riley, Cooper Downs, et al.. (2023). The Open Flux Problem: The Need for High Latitude Observations. 1 indexed citations
9.
Riley, Pete, Ronald M. Caplan, Cooper Downs, J. A. Linker, & R. Lionello. (2022). Comparing and Contrasting the Properties of the Inner Heliosphere for the Three Most Recent Solar Minima. Journal of Geophysical Research Space Physics. 127(8). e2022JA030261–e2022JA030261. 7 indexed citations
10.
Titov, V. S., Cooper Downs, Tibor Török, et al.. (2021). Optimization of Magnetic Flux Ropes Modeled with the Regularized Biot–Savart Law Method. The Astrophysical Journal Supplement Series. 255(1). 9–9. 12 indexed citations
11.
Downs, Cooper, A. Warmuth, David M. Long, et al.. (2021). Validation of Global EUV Wave MHD Simulations and Observational Techniques. The Astrophysical Journal. 911(2). 118–118. 30 indexed citations
12.
Schwadron, N. A., J. A. Linker, Ronald M. Caplan, et al.. (2021). Energetic Proton Propagation and Acceleration Simulated for the Bastille Day Event of 2000 July 14. The Astrophysical Journal. 909(2). 160–160. 22 indexed citations
13.
Kwon, Ryun-Young, J. A. Linker, Pete Riley, et al.. (2021). Development of a Deep Learning Model for Inversion of Rotational Coronagraphic Images Into 3D Electron Density. The Astrophysical Journal Letters. 920(2). L30–L30. 5 indexed citations
14.
Linker, J. A., Cooper Downs, Ronald M. Caplan, et al.. (2019). Prediction of Coronal Structure for the July 2, 2019 Total Solar Eclipse: Comparison with Observations. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
15.
Winebarger, Amy R., R. Lionello, Cooper Downs, Z. Mikić, & J. A. Linker. (2018). Identifying Observables That Can Differentiate Between Impulsive and Footpoint Heating: Time Lags and Intensity Ratios. The Astrophysical Journal. 865(2). 111–111. 11 indexed citations
16.
Mikić, Z., Cooper Downs, J. A. Linker, et al.. (2018). Predicting the corona for the 21 August 2017 total solar eclipse. Nature Astronomy. 2(11). 913–921. 96 indexed citations
17.
Mikić, Z., Cooper Downs, J. A. Linker, et al.. (2017). Prediction of the Solar Corona for the 2017 August 21 Total Solar Eclipse. 1 indexed citations
18.
Winebarger, Amy R., R. Lionello, Cooper Downs, et al.. (2016). AN INVESTIGATION OF TIME LAG MAPS USING THREE-DIMENSIONAL SIMULATIONS OF HIGHLY STRATIFIED HEATING. The Astrophysical Journal. 831(2). 172–172. 11 indexed citations
19.
Long, David M., D. Shaun Bloomfield, P. F. Chen, et al.. (2016). Understanding the Physical Nature of Coronal “EIT Waves”. Solar Physics. 292(1). 7–7. 56 indexed citations
20.
Liu, Wei, Cooper Downs, & L. Ofman. (2016). Fast-mode Coronal Wave Trains Detected by SDO/AIA: Recent Observational Progress.

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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