Ali Varsani

1.4k total citations
19 papers, 313 citations indexed

About

Ali Varsani is a scholar working on Astronomy and Astrophysics, Molecular Biology and Geophysics. According to data from OpenAlex, Ali Varsani has authored 19 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 10 papers in Molecular Biology and 2 papers in Geophysics. Recurrent topics in Ali Varsani's work include Ionosphere and magnetosphere dynamics (16 papers), Solar and Space Plasma Dynamics (14 papers) and Geomagnetism and Paleomagnetism Studies (10 papers). Ali Varsani is often cited by papers focused on Ionosphere and magnetosphere dynamics (16 papers), Solar and Space Plasma Dynamics (14 papers) and Geomagnetism and Paleomagnetism Studies (10 papers). Ali Varsani collaborates with scholars based in Austria, United Kingdom and United States. Ali Varsani's co-authors include R. Nakamura, B. L. Giles, W. Baumjohann, M. Volwerk, Takuma Nakamura, J. L. Burch, R. E. Ergun, C. J. Owen, C. T. Russell and R. B. Torbert and has published in prestigious journals such as Physical Review Letters, Nature Communications and Geophysical Research Letters.

In The Last Decade

Ali Varsani

16 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Varsani Austria 11 306 102 64 42 14 19 313
Nick Omidi United States 9 346 1.1× 101 1.0× 67 1.0× 27 0.6× 15 1.1× 11 361
Maxime Dubart Finland 11 236 0.8× 81 0.8× 59 0.9× 32 0.8× 10 0.7× 26 252
Giulia Cozzani Finland 8 215 0.7× 75 0.7× 39 0.6× 31 0.7× 15 1.1× 25 227
K. Dokgo United States 9 211 0.7× 57 0.6× 43 0.7× 48 1.1× 11 0.8× 28 220
Q. Y. Xiong China 11 362 1.2× 138 1.4× 40 0.6× 65 1.5× 21 1.5× 55 390
Ulrich Taubenschuss Czechia 13 381 1.2× 110 1.1× 146 2.3× 28 0.7× 20 1.4× 31 397
S. Fu China 6 387 1.3× 157 1.5× 84 1.3× 67 1.6× 8 0.6× 8 393
S. Grimald France 10 331 1.1× 95 0.9× 59 0.9× 34 0.8× 9 0.6× 23 338
J. L. Verniero United States 12 363 1.2× 83 0.8× 16 0.3× 28 0.7× 12 0.9× 33 371
Heather Ratcliffe United Kingdom 11 289 0.9× 55 0.5× 78 1.2× 58 1.4× 10 0.7× 13 304

Countries citing papers authored by Ali Varsani

Since Specialization
Citations

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

Fields of papers citing papers by Ali Varsani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Varsani

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

All Works

19 of 19 papers shown
1.
Riley, Pete, M. Ben-Nun, Erika Palmerio, et al.. (2025). Understanding the global structure of the September 5, 2022, coronal mass ejection using sunRunner3D. Journal of Space Weather and Space Climate. 15. 17–17.
2.
Schmid, Daniel, H. Lämmer, A. A. Berezhnoy, et al.. (2025). Detection of lithium in the exosphere of Mercury. Nature Communications. 16(1). 6205–6205.
3.
Narita, Yasuhito, Ali Varsani, Daniel Schmid, et al.. (2025). Hybrid modeling of Mercury’s magnetosphere: Assessing accuracy in ion counting statistics. Astronomy and Astrophysics. 698. A12–A12. 1 indexed citations
4.
Lämmer, H., Daniel Schmid, M. Volwerk, et al.. (2025). Helium in Mercury's Extended Exosphere Determined by Pick‐Up Generated Ion Cyclotron Waves. Journal of Geophysical Research Planets. 130(4).
5.
Roberts, Owen, Olga Alexandrova, L. Sorriso‐Valvo, et al.. (2022). Scale‐Dependent Kurtosis of Magnetic Field Fluctuations in the Solar Wind: A Multi‐Scale Study With Cluster 2003–2015. Journal of Geophysical Research Space Physics. 127(9). 12 indexed citations
6.
Roberts, Owen, R. Nakamura, V. N. Coffey, et al.. (2021). A Study of the Solar Wind Ion and Electron Measurements From the Magnetospheric Multiscale Mission's Fast Plasma Investigation. Journal of Geophysical Research Space Physics. 126(10). 14 indexed citations
7.
Vörös, Z., Ali Varsani, Emiliya Yordanova, et al.. (2021). Magnetic Reconnection Within the Boundary Layer of a Magnetic Cloud in the Solar Wind. Journal of Geophysical Research Space Physics. 126(9). 7 indexed citations
8.
Volwerk, M., Cyril Simon Wedlund, Charlotte Goetz, et al.. (2021). Statistical study of linear magnetic hole structures near Earth. Annales Geophysicae. 39(1). 239–253. 18 indexed citations
9.
Nakamura, R., Takuma Nakamura, Ali Varsani, et al.. (2020). Remote Sensing of Magnetic Reconnection in the Magnetotail Using In Situ Multipoint Observations at the Plasma Sheet Boundary Layer. Journal of Geophysical Research Space Physics. 126(1). 5 indexed citations
10.
Vörös, Z., Emiliya Yordanova, Y. V. Khotyaintsev, Ali Varsani, & Yasuhito Narita. (2019). Energy Conversion at Kinetic Scales in the Turbulent Magnetosheath. Frontiers in Astronomy and Space Sciences. 6. 15 indexed citations
11.
Nakamura, R., K. J. Genestreti, Takuma Nakamura, et al.. (2018). Structure of the Current Sheet in the 11 July 2017 Electron Diffusion Region Event. Journal of Geophysical Research Space Physics. 124(2). 1173–1186. 39 indexed citations
12.
Nakamura, Takuma, R. Nakamura, Ali Varsani, et al.. (2018). Remote Sensing of the Reconnection Electric Field From In Situ Multipoint Observations of the Separatrix Boundary. Geophysical Research Letters. 45(9). 3829–3837. 9 indexed citations
13.
Stawarz, J. E., J. P. Eastwood, Ali Varsani, et al.. (2017). Magnetospheric Multiscale analysis of intense field‐aligned Poynting flux near the Earth's plasma sheet boundary. Geophysical Research Letters. 44(14). 7106–7113. 20 indexed citations
14.
Yao, Zhonghua, I. J. Rae, Ruilong Guo, et al.. (2017). A direct examination of the dynamics of dipolarization fronts using MMS. Journal of Geophysical Research Space Physics. 122(4). 4335–4347. 44 indexed citations
15.
Wang, Rongsheng, R. Nakamura, Quanming Lu, et al.. (2017). Electron-Scale Quadrants of the Hall Magnetic Field Observed by the Magnetospheric Multiscale spacecraft during Asymmetric Reconnection. Physical Review Letters. 118(17). 175101–175101. 64 indexed citations
16.
Yao, Zhonghua, A. N. Fazakerley, Ali Varsani, et al.. (2016). Substructures within a dipolarization front revealed by high‐temporal resolution Cluster observations. Journal of Geophysical Research Space Physics. 121(6). 5185–5202. 11 indexed citations
17.
Dunn, W. R., G. Branduardi‐Raymont, Ronald F. Elsner, et al.. (2016). The impact of an ICME on the Jovian X‐ray aurora. Journal of Geophysical Research Space Physics. 121(3). 2274–2307. 37 indexed citations
18.
Walsh, A. P., Ali Varsani, C. J. Owen, et al.. (2014). Microscale dynamics within Kelvin-Helmholtz waves: A probe of localized reconnection occurrence. 2014 AGU Fall Meeting. 2014. 1 indexed citations
19.
Varsani, Ali, C. J. Owen, A. N. Fazakerley, et al.. (2014). Cluster observations of the substructure of a flux transfer event: analysis of high-time-resolution particle data. Annales Geophysicae. 32(9). 1093–1117. 16 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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