K. V. Sokolovsky

3.0k total citations
85 papers, 646 citations indexed

About

K. V. Sokolovsky is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Computational Mechanics. According to data from OpenAlex, K. V. Sokolovsky has authored 85 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Astronomy and Astrophysics, 36 papers in Nuclear and High Energy Physics and 13 papers in Computational Mechanics. Recurrent topics in K. V. Sokolovsky's work include Astrophysical Phenomena and Observations (43 papers), Gamma-ray bursts and supernovae (41 papers) and Astrophysics and Cosmic Phenomena (34 papers). K. V. Sokolovsky is often cited by papers focused on Astrophysical Phenomena and Observations (43 papers), Gamma-ray bursts and supernovae (41 papers) and Astrophysics and Cosmic Phenomena (34 papers). K. V. Sokolovsky collaborates with scholars based in Russia, United States and Germany. K. V. Sokolovsky's co-authors include Y. Y. Kovalev, A. P. Lobanov, A. B. Pushkarev, E. Aydi, Laura Chomiuk, I. N. Pashchenko, Jay Strader, P. Gavras, Е. В. Кравченко and K. L. Page and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

K. V. Sokolovsky

72 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. V. Sokolovsky Russia 15 615 392 47 44 32 85 646
A. Rowlinson Netherlands 17 1.2k 2.0× 435 1.1× 34 0.7× 16 0.4× 52 1.6× 68 1.2k
Rebekah Hounsell United States 10 651 1.1× 211 0.5× 55 1.2× 36 0.8× 22 0.7× 31 678
A. Horesh Israel 18 1.3k 2.1× 547 1.4× 78 1.7× 25 0.6× 29 0.9× 51 1.3k
N. Vlahakis Greece 15 816 1.3× 468 1.2× 18 0.4× 39 0.9× 27 0.8× 48 864
E. C. Ferrara United States 14 572 0.9× 212 0.5× 47 1.0× 24 0.5× 58 1.8× 36 612
N. La Palombara Italy 15 685 1.1× 253 0.6× 42 0.9× 53 1.2× 79 2.5× 73 733
S. Vercellone Italy 20 1.0k 1.6× 533 1.4× 38 0.8× 44 1.0× 60 1.9× 117 1.1k
V. Ashley Villar United States 16 585 1.0× 178 0.5× 37 0.8× 19 0.4× 23 0.7× 39 643
M. Berton Italy 17 805 1.3× 504 1.3× 135 2.9× 22 0.5× 13 0.4× 68 856
T. Pursimo Spain 16 673 1.1× 496 1.3× 46 1.0× 18 0.4× 9 0.3× 57 714

Countries citing papers authored by K. V. Sokolovsky

Since Specialization
Citations

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

Fields of papers citing papers by K. V. Sokolovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. V. Sokolovsky

This figure shows the co-authorship network connecting the top 25 collaborators of K. V. Sokolovsky. A scholar is included among the top collaborators of K. V. Sokolovsky 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 K. V. Sokolovsky. K. V. Sokolovsky 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.
Aydi, E., et al.. (2025). Revisiting the classics: on the statistics of dust formation in novae. Monthly Notices of the Royal Astronomical Society. 541(2). 980–1001. 2 indexed citations
2.
Aydi, E., K. V. Sokolovsky, Jay Strader, et al.. (2024). Spectro-photometric follow-up of the outbursting AM CVn system ASASSN-21br. Monthly Notices of the Royal Astronomical Society. 532(4). 4205–4216. 2 indexed citations
3.
Strader, Jay, L. C.-C. Lin, A. K. H. Kong, et al.. (2023). Multiwavelength Observations of a New Redback Millisecond Pulsar 4FGL J1910.7−5320. The Astrophysical Journal. 943(2). 103–103. 11 indexed citations
4.
Cheung, C. C., T. J. Johnson, P. Jean, et al.. (2022). Fermi LAT Gamma-ray Detection of the Recurrent Nova RS Ophiuchi during its 2021 Outburst. The Astrophysical Journal. 935(1). 44–44. 22 indexed citations
5.
Chomiuk, Laura, Jay Strader, K. V. Sokolovsky, et al.. (2022). The Galactic Nova Rate: Estimates from the ASAS-SN and Gaia Surveys. The Astrophysical Journal. 937(2). 64–64. 14 indexed citations
6.
Jayasinghe, T., C. S. Kochanek, Jay Strader, et al.. (2021). The loudest stellar heartbeat: characterizing the most extreme amplitude heartbeat star system. Monthly Notices of the Royal Astronomical Society. 506(3). 4083–4100. 19 indexed citations
7.
Aydi, E., Jay Strader, Laura Chomiuk, et al.. (2021). Spectroscopic follow up of the classical nova V6595 Sgr (PNV J17581670-2914490). The astronomer's telegram. 14533. 1. 1 indexed citations
8.
Strader, Jay, Ryan Urquhart, E. Aydi, et al.. (2020). A New Candidate Transitional Millisecond Pulsar in the Subluminous Disk State: 4FGL J0407.7–5702. The Astrophysical Journal. 904(1). 49–49. 15 indexed citations
9.
Kavanagh, Patrick, M. Sasaki, D. Breitschwerdt, et al.. (2020). Deep XMM-Newton observations of the northern disc of M31. Astronomy and Astrophysics. 637. A12–A12. 16 indexed citations
10.
Sokolovsky, K. V., et al.. (2019). Swift observations of the fading transient ASASSN-V J060000.76-310027.83. ATel. 13377. 1. 1 indexed citations
11.
Geballe, T. R., D. P. K. Banerjee, A. Evans, et al.. (2019). Infrared Spectroscopy of the Recent Outburst in V1047 Cen (Nova Centauri 2005). The Astrophysical Journal Letters. 886(1). L14–L14. 2 indexed citations
12.
Sokolovsky, K. V., A. Z. Bonanos, P. Gavras, et al.. (2017). The Hubble Catalog of Variables. Springer Link (Chiba Institute of Technology). 2 indexed citations
13.
Кравченко, Е. В., Y. Y. Kovalev, & K. V. Sokolovsky. (2017). Parsec-scale Faraday rotation and polarization of 20 active galactic nuclei jets. Monthly Notices of the Royal Astronomical Society. stx021–stx021. 29 indexed citations
14.
Lico, Rocco, M. Giroletti, M. Orienti, et al.. (2013). The TeV blazar Markarian 421 at the highest spatial resolution. Springer Link (Chiba Institute of Technology). 12 indexed citations
15.
Thompson, D. J., D. Donato, J. S. Perkins, et al.. (2013). Long-term multiwavelength studies of high-redshift blazar 0836+710. Astronomy and Astrophysics. 556. A71–A71. 11 indexed citations
16.
Margutti, R., Sayan Chakraborti, P. J. Brown, & K. V. Sokolovsky. (2013). Swift XRT and UVOT detection of SN2013ej. ATel. 5243. 1. 1 indexed citations
17.
Lico, Rocco, M. Giroletti, M. Orienti, et al.. (2012). VLBA monitoring of Mrk 421 at 15 GHz and 24 GHz during 2011. Springer Link (Chiba Institute of Technology). 27 indexed citations
18.
Sokolovsky, K. V., et al.. (2012). Swift observation of the nova candidate PNV J17452791-2305213 one day after discovery. The astronomer's telegram. 4061. 1. 1 indexed citations
19.
Sokolovsky, K. V., Y. Y. Kovalev, A. B. Pushkarev, P. Mimica, & M. Perucho. (2011). VLBI-selected sample of compact symmetric object candidates and frequency-dependent position of hotspots. Springer Link (Chiba Institute of Technology). 9 indexed citations
20.
Sokolovsky, K. V., et al.. (2010). Fermi/LAT detection of a new possible high-z gamma-ray quasar PKS 1915-458. ATel. 2666. 1.

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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