A. V. Mikhailov

1.2k total citations
68 papers, 1.1k citations indexed

About

A. V. Mikhailov is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Geophysics. According to data from OpenAlex, A. V. Mikhailov has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Astronomy and Astrophysics, 26 papers in Atmospheric Science and 22 papers in Geophysics. Recurrent topics in A. V. Mikhailov's work include Ionosphere and magnetosphere dynamics (63 papers), Solar and Space Plasma Dynamics (30 papers) and Atmospheric Ozone and Climate (26 papers). A. V. Mikhailov is often cited by papers focused on Ionosphere and magnetosphere dynamics (63 papers), Solar and Space Plasma Dynamics (30 papers) and Atmospheric Ozone and Climate (26 papers). A. V. Mikhailov collaborates with scholars based in Russia, Italy and Germany. A. V. Mikhailov's co-authors include Loredana Perrone, M. Förster, D. Marín, А. Д. Данилов, K. Schlegel, J. Bremer, Jan Laštovička, A.J. Foppiano, Rodrigo Abarca-del-Río and Thomas Ulich and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Scientific Reports.

In The Last Decade

A. V. Mikhailov

63 papers receiving 977 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. V. Mikhailov Russia 20 1.0k 471 317 286 277 68 1.1k
Young‐Sil Kwak South Korea 18 1.1k 1.1× 482 1.0× 331 1.0× 335 1.2× 154 0.6× 114 1.1k
N. Aponte United States 22 1.1k 1.1× 564 1.2× 196 0.6× 403 1.4× 254 0.9× 50 1.2k
P. K. Rajesh Taiwan 19 796 0.8× 410 0.9× 179 0.6× 292 1.0× 154 0.6× 51 839
J. Bos̆ka Czechia 17 619 0.6× 375 0.8× 112 0.4× 187 0.7× 165 0.6× 39 647
Bernard S. Ogorzalek United States 10 834 0.8× 211 0.4× 221 0.7× 129 0.5× 326 1.2× 18 877
E. A. Araujo‐Pradere United States 21 1.2k 1.2× 623 1.3× 318 1.0× 549 1.9× 235 0.8× 43 1.3k
A. L. Aruliah United Kingdom 17 781 0.8× 205 0.4× 245 0.8× 144 0.5× 243 0.9× 53 817
T. S. Virdi United Kingdom 14 999 1.0× 377 0.8× 265 0.8× 290 1.0× 174 0.6× 23 1.0k
A. Anghel United States 14 885 0.9× 442 0.9× 313 1.0× 263 0.9× 102 0.4× 17 915

Countries citing papers authored by A. V. Mikhailov

Since Specialization
Citations

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

Fields of papers citing papers by A. V. Mikhailov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. V. Mikhailov. 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 A. V. Mikhailov. The network helps show where A. V. Mikhailov may publish in the future.

Co-authorship network of co-authors of A. V. Mikhailov

This figure shows the co-authorship network connecting the top 25 collaborators of A. V. Mikhailov. A scholar is included among the top collaborators of A. V. Mikhailov 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 A. V. Mikhailov. A. V. Mikhailov 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.
Perrone, Loredana & A. V. Mikhailov. (2025). The state of mid-latitude thermosphere retrieved from ionosonde and Swarm satellite observations during geomagnetic storms in February 2022. Journal of Space Weather and Space Climate. 15. 4–4.
2.
Mikhailov, A. V. & Loredana Perrone. (2023). Whether Sudden Stratospheric Warming Effects Are Seen in the Midlatitude Thermosphere of the Opposite Hemisphere?. Journal of Geophysical Research Space Physics. 128(6). 2 indexed citations
3.
Mikhailov, A. V. & Loredana Perrone. (2022). Thermospheric parameters contribution to the formation of Yakutsk F2-layer diurnal summer time anomaly. Scientific Reports. 12(1). 13510–13510.
4.
Perrone, Loredana, A. V. Mikhailov, & Dario Sabbagh. (2021). Thermospheric Parameters during Ionospheric G-Conditions. Remote Sensing. 13(17). 3440–3440. 4 indexed citations
5.
Mikhailov, A. V., et al.. (2021). Mid-Latitude Daytime F2-Layer Disturbance Mechanism under Extremely Low Solar and Geomagnetic Activity in 2008–2009. Remote Sensing. 13(8). 1514–1514. 8 indexed citations
6.
Perrone, Loredana, et al.. (2020). Daytime mid-latitude F2-layer Q-disturbances: A formation mechanism. Scientific Reports. 10(1). 9997–9997. 8 indexed citations
7.
Perrone, Loredana, A. V. Mikhailov, Carlo Scotto, & Dario Sabbagh. (2020). Testing of the Method Retrieving a Consistent Set of Aeronomic Parameters With Millstone Hill ISR Noontime h mF2 Observations. IEEE Geoscience and Remote Sensing Letters. 18(10). 1698–1700. 6 indexed citations
8.
Mikhailov, A. V. & Loredana Perrone. (2019). Longitudinal variations in thermospheric parameters under summer noontime conditions inferred from ionospheric observations: A comparison with empirical models. Scientific Reports. 9(1). 12763–12763. 4 indexed citations
9.
Mikhailov, A. V. & Loredana Perrone. (2018). Summer Noontime hmF2 Long‐Term Trends Inferred From foF1 and foF2 Ionosonde Observations in Europe. Journal of Geophysical Research Space Physics. 123(8). 6703–6713. 5 indexed citations
10.
Mikhailov, A. V.. (2003). Model results for the midlatitude daytime E region: EUV ionization rate and α(NO+) relationship. PLoS ONE. 7(8). e42699–e42699. 2 indexed citations
11.
Mikhailov, A. V. & K. Schlegel. (2003). Geomagnetic storm effects at F1-layer heights from incoherent scatter observations. Annales Geophysicae. 21(2). 583–596. 24 indexed citations
12.
Mikhailov, A. V. & D. Marín. (2001). An interpretation of the <i>ƒo</i>F2 and <i>hm</i>F2 long-term trends in the framework of the geomagnetic control concept. Annales Geophysicae. 19(7). 733–748. 67 indexed citations
13.
Mikhailov, A. V., et al.. (2000). Morphology of NmF2 nighttime increases in the Eurasian sector. Annales Geophysicae. 18(6). 618–628. 5 indexed citations
14.
Mikhailov, A. V. & D. Marín. (2000). Geomagnetic control of the foF2 long-term trends. Annales Geophysicae. 18(6). 653–665. 5 indexed citations
15.
Mikhailov, A. V. & M. Förster. (1999). Some F2-layer effects during the January06-11,1997 cedar storm period as observed with theMillstoneHill incoherent scatter facility. Journal of Atmospheric and Solar-Terrestrial Physics. 61(3-4). 249–261. 42 indexed citations
16.
Mikhailov, A. V., et al.. (1999). A method for f0F2 monitoring over Spain using the El Arenosillo digisonde current observations. Annals of Geophysics. 42(4). 15 indexed citations
17.
Данилов, А. Д. & A. V. Mikhailov. (1999). Spatial and seasonal variations of the. Annales Geophysicae. 17(9). 1239–1239. 1 indexed citations
18.
Mikhailov, A. V., et al.. (1995). Daytime F2-layer positive storm effect at middle and lower latitudes. Annales Geophysicae. 13(5). 532–540. 70 indexed citations
19.
Mikhailov, A. V.. (1983). A possible mechanism of a synphase variation of the electron concentration in the E- and F2-regions of the ionosphere.. Geomagnetism and Aeronomy. 23. 557–561. 5 indexed citations
20.
Mikhailov, A. V., et al.. (1975). Interpretation of Results from the Measurements of the Upper Martian Ionosphere via a Dispersion Interferometer on the Satellite "Mars 2". 13(2). 249–253. 2 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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