Michael S. Kirk

845 total citations
24 papers, 205 citations indexed

About

Michael S. Kirk is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael S. Kirk has authored 24 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 7 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael S. Kirk's work include Solar and Space Plasma Dynamics (17 papers), Ionosphere and magnetosphere dynamics (7 papers) and Astro and Planetary Science (7 papers). Michael S. Kirk is often cited by papers focused on Solar and Space Plasma Dynamics (17 papers), Ionosphere and magnetosphere dynamics (7 papers) and Astro and Planetary Science (7 papers). Michael S. Kirk collaborates with scholars based in United States, United Kingdom and Germany. Michael S. Kirk's co-authors include W. D. Pesnell, C. A. Young, K. Muglach, Tonima Tasnim Ananna, Cláudio Ricci, Hermine Landt, M. J. I. Brown, Ayris Narock, K. J. Duncan and Teresa Nieves‐Chinchilla and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Michael S. Kirk

21 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael S. Kirk United States 8 185 49 36 9 9 24 205
Heesu Yang South Korea 12 303 1.6× 58 1.2× 44 1.2× 4 0.4× 20 2.2× 28 335
A. Pastor Yabar Spain 9 163 0.9× 45 0.9× 44 1.2× 21 2.3× 12 1.3× 23 199
C. Kuckein Germany 12 269 1.5× 50 1.0× 54 1.5× 6 0.7× 6 0.7× 36 283
J. Blanco Rodríguez Spain 11 197 1.1× 21 0.4× 56 1.6× 7 0.8× 8 0.9× 22 209
C. J. Díaz Baso Sweden 10 234 1.3× 65 1.3× 45 1.3× 25 2.8× 11 1.2× 20 274
Zhenyong Hou China 13 352 1.9× 32 0.7× 35 1.0× 3 0.3× 12 1.3× 42 361
E. Mazy Belgium 5 314 1.7× 29 0.6× 48 1.3× 7 0.8× 19 2.1× 21 352
Andrea Francesco Battaglia Switzerland 10 245 1.3× 59 1.2× 22 0.6× 7 0.8× 7 0.8× 27 261
Isabelle Scholl United States 10 296 1.6× 55 1.1× 62 1.7× 5 0.6× 7 0.8× 24 312
Luca Giovannelli Italy 8 153 0.8× 19 0.4× 58 1.6× 6 0.7× 6 0.7× 50 199

Countries citing papers authored by Michael S. Kirk

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Kirk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Kirk

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Kirk. A scholar is included among the top collaborators of Michael S. Kirk 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 Michael S. Kirk. Michael S. Kirk 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.
Kirk, Michael S., et al.. (2025). Magnetic Field-Constrained Ensemble Image Segmentation of Coronal Holes in Chromospheric Observations. Solar Physics. 300(1). 2 indexed citations
2.
3.
Mehta, Piyush M., et al.. (2024). Neural-Based Video Compression on Solar Dynamics Observatory Images. IEEE Transactions on Aerospace and Electronic Systems. 60(5). 6685–6701. 1 indexed citations
4.
Mehta, Piyush M., et al.. (2023). Neural-Based Compression Scheme for Solar Image Data. IEEE Transactions on Aerospace and Electronic Systems. 60(1). 918–933.
5.
Matteo, Simone Di, Huw Morgan, Daniel B. Seaton, et al.. (2023). Data mining for science of the sun-earth connection as a single system. Frontiers in Astronomy and Space Sciences. 10. 2 indexed citations
6.
7.
Boucheron, Laura E., et al.. (2023). Quantifying the Consistency and Characterizing the Confidence of Coronal Holes Detected by Active Contours Without Edges (ACWE). Solar Physics. 298(11). 133–133. 4 indexed citations
8.
Reiß, Martin, K. Muglach, Christian Möstl, et al.. (2021). The observational uncertainty of coronal hole boundaries in automated detection schemes. University of Oulu Repository (University of Oulu). 17 indexed citations
9.
Mason, James, Phillip C. Chamberlin, Daniel B. Seaton, et al.. (2021). SunCET: The Sun Coronal Ejection Tracker Concept. Journal of Space Weather and Space Climate. 11. 20–20. 17 indexed citations
10.
Gershman, D. J., A. C. Barrie, S. R. Elkington, et al.. (2021). Three Solar Irradiance Proxies for Aperture Photoelectron Detections in Top‐Hat ESAs Coated With Ebonol‐C. Journal of Geophysical Research Space Physics. 126(12). 1 indexed citations
11.
Kirk, Michael S., et al.. (2021). Impact on WSA coronal and solar wind predictions when including far-side active regions in ADAPT. 43. 1793. 1 indexed citations
12.
Young, Peter R., et al.. (2021). An Analysis of Spikes in Atmospheric Imaging Assembly (AIA) Data. Solar Physics. 296(12). 4 indexed citations
13.
Narock, Ayris, et al.. (2020). Identifying Flux Rope Signatures Using a Deep Neural Network. Solar Physics. 295(10). 13 indexed citations
14.
Jess, D. B., Michael S. Kirk, F. Reale, et al.. (2019). Statistical Signatures of Nanoflare Activity. I. Monte Carlo Simulations and Parameter-space Exploration. The Astrophysical Journal. 871(2). 133–133. 20 indexed citations
15.
Brown, M. J. I., K. J. Duncan, Hermine Landt, et al.. (2019). The spectral energy distributions of active galactic nuclei. Monthly Notices of the Royal Astronomical Society. 489(3). 3351–3367. 22 indexed citations
16.
Thompson, B. J., Michael S. Kirk, & M. Sarantos. (2018). Driving Scientific Discovery with Machine Learning and AI at the NASA GSFC Center for HelioAnalytics. 81. 1 indexed citations
17.
Kirk, Michael S., et al.. (2018). Precursors of Magnetic Flux Emergence in the Moat Flows of Active Region AR12673. Space Weather. 16(8). 1143–1155. 9 indexed citations
18.
Kirk, Michael S., Krishnan Balasubramaniam, Jason Jackiewicz, & H. R. Gilbert. (2017). The Origin of Sequential Chromospheric Brightenings. Solar Physics. 292(6). 1 indexed citations
19.
Falk, Thomas, Björn Vollan, & Michael S. Kirk. (2012). Analysis of material, social, and moral governance in natural resource management in southern Namibia. International Journal of the Commons. 6(2). 271–271. 3 indexed citations
20.
Pesnell, W. D., et al.. (2009). Automated Detection of Polar Coronal Holes in the EUV. 158. 1 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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