N. Gopalswamy

4.4k total citations
107 papers, 3.0k citations indexed

About

N. Gopalswamy is a scholar working on Astronomy and Astrophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, N. Gopalswamy has authored 107 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Astronomy and Astrophysics, 21 papers in Molecular Biology and 8 papers in Artificial Intelligence. Recurrent topics in N. Gopalswamy's work include Solar and Space Plasma Dynamics (101 papers), Ionosphere and magnetosphere dynamics (70 papers) and Astro and Planetary Science (35 papers). N. Gopalswamy is often cited by papers focused on Solar and Space Plasma Dynamics (101 papers), Ionosphere and magnetosphere dynamics (70 papers) and Astro and Planetary Science (35 papers). N. Gopalswamy collaborates with scholars based in United States, India and Poland. N. Gopalswamy's co-authors include S. Yashiro, S. Akiyama, R. A. Howard, H. Xie, M. L. Kaiser, P. Mäkelä, N. Nitta, M. R. Kundu, I. G. Richardson and J. C. Kasper and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Astrophysical Journal and Geophysical Research Letters.

In The Last Decade

N. Gopalswamy

97 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Gopalswamy United States 27 2.9k 894 189 176 113 107 3.0k
Noé Lugaz United States 35 3.3k 1.1× 966 1.1× 126 0.7× 160 0.9× 93 0.8× 140 3.4k
V. Bothmer Germany 26 2.9k 1.0× 881 1.0× 130 0.7× 168 1.0× 87 0.8× 94 3.0k
S. P. Plunkett United States 28 4.1k 1.4× 1.1k 1.2× 142 0.8× 210 1.2× 154 1.4× 79 4.1k
S. Dasso Argentina 32 2.9k 1.0× 1.1k 1.2× 97 0.5× 178 1.0× 62 0.5× 115 3.0k
N. Nitta United States 34 4.2k 1.4× 1.0k 1.2× 179 0.9× 265 1.5× 125 1.1× 163 4.2k
G. Michałek Poland 20 2.7k 0.9× 643 0.7× 97 0.5× 202 1.1× 99 0.9× 67 2.7k
N. Gopalswamy United States 25 3.7k 1.3× 734 0.8× 139 0.7× 323 1.8× 113 1.0× 73 3.7k
Daikou Shiota Japan 24 1.7k 0.6× 451 0.5× 111 0.6× 149 0.8× 86 0.8× 65 1.7k
Emilia Kilpua Finland 36 4.0k 1.4× 1.5k 1.7× 379 2.0× 202 1.1× 113 1.0× 177 4.2k
Christian Möstl Austria 30 2.9k 1.0× 882 1.0× 83 0.4× 147 0.8× 97 0.9× 100 2.9k

Countries citing papers authored by N. Gopalswamy

Since Specialization
Citations

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

Fields of papers citing papers by N. Gopalswamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Gopalswamy

This figure shows the co-authorship network connecting the top 25 collaborators of N. Gopalswamy. A scholar is included among the top collaborators of N. Gopalswamy 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 N. Gopalswamy. N. Gopalswamy 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.
Srivastava, Nandita, et al.. (2024). Modeling the Magnetic Vectors of Interplanetary Coronal Mass Ejections at Different Heliocentric Distances with INFROS. The Astrophysical Journal Supplement Series. 273(2). 36–36. 1 indexed citations
2.
3.
Gopalswamy, N., et al.. (2024). Spatial Relationship between CMEs and Prominence Eruptions during SC 24 and SC 25. The Astrophysical Journal. 966(1). 22–22.
4.
Michałek, G., et al.. (2023). A Statistical Analysis of Deflection of Coronal Mass Ejections in the Field of View of LASCO Coronagraphs. The Astrophysical Journal. 956(1). 59–59.
5.
Gopalswamy, N., G. Michałek, S. Yashiro, et al.. (2023). What Do Halo CMEs Tell Us about Solar Cycle 25?. The Astrophysical Journal Letters. 952(1). L13–L13. 9 indexed citations
6.
Wood, Brian E., Erika Palmerio, S. E. Gibson, et al.. (2023). Sensing CME Magnetic Fields En Route to 1 AU. 55(3). 1 indexed citations
7.
Mäkelä, P., N. Gopalswamy, S. Akiyama, H. Xie, & S. Yashiro. (2023). Speed and Acceleration of Coronal Mass Ejections Associated with Sustained Gamma-Ray Emission Events Observed by Fermi/LAT. The Astrophysical Journal. 954(1). 79–79. 1 indexed citations
8.
Manchester, W. B., L. K. Jian, L. B. Wilson, et al.. (2023). Investigating a Solar Wind Stream Interaction Region using Interplanetary Spacecraft Radio Signals: A Magnetohydrodynamic Simulation Study. The Astrophysical Journal. 955(2). 90–90.
9.
Jensen, E. A., Brian E. Wood, Teresa Nieves‐Chinchilla, et al.. (2023). Faraday Rotation Methods to Detect Coronal Currents and MHD Wave Activity. 2 indexed citations
10.
Michałek, G., N. Gopalswamy, & S. Yashiro. (2022). Periodic Oscillations in LASCO Coronal Mass Ejection Speeds: Space Seismology. The Astrophysical Journal Letters. 927(1). L16–L16. 1 indexed citations
11.
Michałek, G., N. Gopalswamy, & S. Yashiro. (2022). Study of the Mass-loss Rate from the Sun. The Astrophysical Journal. 930(1). 74–74. 3 indexed citations
12.
Gopalswamy, N., S. Yashiro, S. Akiyama, et al.. (2022). What Is Unusual About the Third Largest Geomagnetic Storm of Solar Cycle 24?. Journal of Geophysical Research Space Physics. 127(8). 21 indexed citations
13.
Daglis, Ioannis A., Loren C. Chang, S. Dasso, et al.. (2021). Predictability of the variable solar-terrestrial coupling. 2 indexed citations
14.
Wilson, L. B., A. L. Brosius, N. Gopalswamy, et al.. (2021). A Quarter Century of Wind Spacecraft Discoveries. Reviews of Geophysics. 59(2). 71 indexed citations
15.
Daglis, Ioannis A., Loren C. Chang, S. Dasso, et al.. (2021). Predictability of variable solar–terrestrial coupling. Annales Geophysicae. 39(6). 1013–1035. 17 indexed citations
16.
Michałek, G., N. Gopalswamy, & S. Yashiro. (2019). On the Coronal Mass Ejection Detection Rate during Solar Cycles 23 and 24. The Astrophysical Journal. 880(1). 51–51. 17 indexed citations
17.
Nandy, Dibyendu, et al.. (2018). Dependence of Coronal Mass Ejection Properties on Their Solar Source Active Region Characteristics and Associated Flare Reconnection Flux. The Astrophysical Journal. 865(1). 4–4. 27 indexed citations
18.
Bong, Su‐Chan, Heesu Yang, Eun‐Kyung Lim, et al.. (2017). TOWARD A NEXT GENERATION SOLAR CORONAGRAPH: DEVELOPMENT OF A COMPACT DIAGNOSTIC CORONAGRAPH FOR THE ISS. Journal of The Korean Astronomical Society. 50(5). 139–149. 5 indexed citations
19.
Sterling, Alphonse C., Ronald L. Moore, D. A. Falconer, et al.. (2016). MINIFILAMENT ERUPTIONS THAT DRIVE CORONAL JETS IN A SOLAR ACTIVE REGION. The Astrophysical Journal. 821(2). 100–100. 64 indexed citations
20.
Kozyra, Jerzy, Katsumi Shibata, N. J. Fox, et al.. (2006). Investigating the state of the Sun-Earth system during extreme events: First science results of a worldwide online conference series. AGU Fall Meeting Abstracts. 2006.

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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