Anna Malanushenko

609 total citations
17 papers, 380 citations indexed

About

Anna Malanushenko is a scholar working on Astronomy and Astrophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Anna Malanushenko has authored 17 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Astronomy and Astrophysics, 8 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Anna Malanushenko's work include Solar and Space Plasma Dynamics (17 papers), Ionosphere and magnetosphere dynamics (11 papers) and Stellar, planetary, and galactic studies (8 papers). Anna Malanushenko is often cited by papers focused on Solar and Space Plasma Dynamics (17 papers), Ionosphere and magnetosphere dynamics (11 papers) and Stellar, planetary, and galactic studies (8 papers). Anna Malanushenko collaborates with scholars based in United States, United Kingdom and France. Anna Malanushenko's co-authors include D. W. Longcope, C. J. Schrijver, Markus J. Aschwanden, P. Boerner, Scott W. McIntosh, M. Rempel, Mark C. M. Cheung, V. H. Hansteen, B. V. Gudiksen and Georgios Chintzoglou and has published in prestigious journals such as The Astrophysical Journal, Solar Physics and Nature Astronomy.

In The Last Decade

Anna Malanushenko

17 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Malanushenko United States 8 370 110 31 16 15 17 380
Q. M. Zhang China 14 611 1.7× 116 1.1× 37 1.2× 18 1.1× 13 0.9× 21 617
Roberto Susino Italy 13 370 1.0× 83 0.8× 45 1.5× 11 0.7× 12 0.8× 45 391
T. Felipe Spain 11 257 0.7× 76 0.7× 38 1.2× 16 1.0× 11 0.7× 29 271
Gopal Hazra India 11 302 0.8× 104 0.9× 20 0.6× 14 0.9× 10 0.7× 18 312
S. Krishna Prasad United Kingdom 14 489 1.3× 190 1.7× 43 1.4× 16 1.0× 16 1.1× 27 505
C. S. Baldner United States 8 307 0.8× 74 0.7× 30 1.0× 23 1.4× 11 0.7× 16 313
Tanmoy Samanta India 9 297 0.8× 52 0.5× 22 0.7× 13 0.8× 14 0.9× 25 307
Daniel Nóbrega-Siverio Norway 11 332 0.9× 43 0.4× 30 1.0× 12 0.8× 12 0.8× 23 353
Ilpo Virtanen Finland 13 403 1.1× 136 1.2× 68 2.2× 31 1.9× 14 0.9× 31 406
P. Rudawy Poland 11 410 1.1× 102 0.9× 26 0.8× 12 0.8× 16 1.1× 46 424

Countries citing papers authored by Anna Malanushenko

Since Specialization
Citations

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

Fields of papers citing papers by Anna Malanushenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Malanushenko

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Malanushenko. A scholar is included among the top collaborators of Anna Malanushenko 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 Anna Malanushenko. Anna Malanushenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Provornikova, Elena, V. G. Merkin, A. Vourlidas, et al.. (2024). MHD Modeling of a Geoeffective Interplanetary Coronal Mass Ejection with the Magnetic Topology Informed by In Situ Observations. The Astrophysical Journal. 977(1). 106–106. 5 indexed citations
2.
Malanushenko, Anna, Mark C. M. Cheung, C. E. DeForest, J. A. Klimchuk, & M. Rempel. (2022). The Coronal Veil. The Astrophysical Journal. 927(1). 1–1. 33 indexed citations
3.
Dalmasse, K., et al.. (2021). Designing a New Coronal Magnetic Field Energy Diagnostic. The Astrophysical Journal. 907(1). 23–23. 4 indexed citations
4.
Longcope, D. W., et al.. (2021). Multispacecraft Observations of Coronal Loops to Verify a Force-free Field Reconstruction and Infer Loop Cross Sections. The Astrophysical Journal. 913(1). 56–56. 9 indexed citations
5.
Malanushenko, Anna, Natasha Flyer, & S. E. Gibson. (2020). Convolutional Neural Networks for Predicting the Strength of the Near-Earth Magnetic Field Caused by Interplanetary Coronal Mass Ejections. Frontiers in Astronomy and Space Sciences. 7. 2 indexed citations
6.
Longcope, D. W., et al.. (2020). Localized Reconnection Heating Inferred from the Three-dimensional Locations of Bright Active Region Coronal Loops. The Astrophysical Journal. 901(2). 147–147. 3 indexed citations
7.
Webb, D. F., et al.. (2018). Global Solar Magnetic Field Evolution Over 4 Solar Cycles: Use of the McIntosh Archive. Frontiers in Astronomy and Space Sciences. 5. 19 indexed citations
8.
Cheung, Mark C. M., M. Rempel, Georgios Chintzoglou, et al.. (2018). A comprehensive three-dimensional radiative magnetohydrodynamic simulation of a solar flare. Nature Astronomy. 3(2). 160–166. 95 indexed citations
9.
Webb, D. F., et al.. (2017). Studies of Global Solar Magnetic Field Patterns Using a Newly Digitized Archive. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
10.
Aschwanden, Markus J., C. J. Schrijver, & Anna Malanushenko. (2015). Blind Stereoscopy of the Coronal Magnetic Field. Solar Physics. 290(10). 2765–2789. 5 indexed citations
11.
McIntosh, Scott W., Xin Wang, Robert J. Leamon, et al.. (2014). DECIPHERING SOLAR MAGNETIC ACTIVITY. I. ON THE RELATIONSHIP BETWEEN THE SUNSPOT CYCLE AND THE EVOLUTION OF SMALL MAGNETIC FEATURES. The Astrophysical Journal. 792(1). 12–12. 72 indexed citations
12.
Valori, G., P. Romano, Anna Malanushenko, et al.. (2014). Time Evolution of Force-Free Parameter and Free Magnetic Energy in Active Region NOAA 10365. Solar Physics. 290(2). 491–506. 6 indexed citations
13.
Aschwanden, Markus J., P. Boerner, C. J. Schrijver, & Anna Malanushenko. (2011). Automated Temperature and Emission Measure Analysis of Coronal Loops and Active Regions Observed with the Atmospheric Imaging Assembly on the Solar Dynamics Observatory (SDO/AIA). Solar Physics. 283(1). 5–30. 75 indexed citations
14.
Malanushenko, Anna, D. W. Longcope, Yuhong Fan, & S. E. Gibson. (2009). ADDITIVE SELF-HELICITY AS A KINK MODE THRESHOLD. The Astrophysical Journal. 702(1). 580–592. 7 indexed citations
15.
Malanushenko, Anna, D. W. Longcope, & David McKenzie. (2009). RECONSTRUCTING THE LOCAL TWIST OF CORONAL MAGNETIC FIELDS AND THE THREE-DIMENSIONAL SHAPE OF THE FIELD LINES FROM CORONAL LOOPS IN EXTREME-ULTRAVIOLET AND X-RAY IMAGES. The Astrophysical Journal. 707(2). 1044–1063. 15 indexed citations
16.
Longcope, D. W. & Anna Malanushenko. (2008). Defining and Calculating Self‐Helicity in Coronal Magnetic Fields. The Astrophysical Journal. 674(2). 1130–1143. 28 indexed citations
17.
Lindsey, C., et al.. (2004). Remote distributed pipeline processing of GONG helioseismic data: experience and lessons learned. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5493. 538–538. 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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