V. Malakhov

3.7k total citations
23 papers, 41 citations indexed

About

V. Malakhov is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Molecular Biology. According to data from OpenAlex, V. Malakhov has authored 23 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 14 papers in Astronomy and Astrophysics and 4 papers in Molecular Biology. Recurrent topics in V. Malakhov's work include Dark Matter and Cosmic Phenomena (12 papers), Solar and Space Plasma Dynamics (8 papers) and Astrophysics and Cosmic Phenomena (8 papers). V. Malakhov is often cited by papers focused on Dark Matter and Cosmic Phenomena (12 papers), Solar and Space Plasma Dynamics (8 papers) and Astrophysics and Cosmic Phenomena (8 papers). V. Malakhov collaborates with scholars based in Russia and Poland. V. Malakhov's co-authors include A. G. Mayorov, K. M. Belotsky, S. V. Koldashov, A. V. Karelin, S. A. Voronov, А. В. Кузнецов, A. M. Galper, V. V. Mikhailov, С. В. Борисов and Vladislav S. Golubkov and has published in prestigious journals such as Advances in Space Research, Physics-Uspekhi and Uspekhi Fizicheskih Nauk.

In The Last Decade

V. Malakhov

17 papers receiving 40 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Malakhov Russia	5	30	26	4	3	2	23	41
H. Betar France	4	29 1.0×	26 1.0×	3 0.8×	5 1.7×	1 0.5×	9	37
B. Wang United States	4	25 0.8×	32 1.2×	4 1.0×	2 0.7×		6	43
S. Loru Italy	4	31 1.0×	18 0.7×	2 0.5×		2 1.0×	14	34
A. Chiappo Sweden	3	27 0.9×	36 1.4×	4 1.0×			3	39
S. Choudhary United States	3	31 1.0×	16 0.6×	3 0.8×		3 1.5×	6	39
Urszula Pajdosz-Śmierciak Poland	5	51 1.7×	35 1.3×	3 0.8×			6	54
Gaëtan Fichet de Clairfontaine Germany	4	31 1.0×	41 1.6×	4 1.0×		4 2.0×	7	44
S. S. Marinelli United States	3	39 1.3×	37 1.4×	5 1.3×			4	42
Sonia El Hedri United States	5	36 1.2×	53 2.0×	3 0.8×		2 1.0×	11	54
Juan Escudero Spain	4	24 0.8×	39 1.5×	4 1.0×		3 1.5×	11	42

Countries citing papers authored by V. Malakhov

Since Specialization

Citations

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

Fields of papers citing papers by V. Malakhov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Malakhov

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

All Works

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20 of 20 papers shown

Leonov, A., et al.. (2024). A method of reconstruction of anisotropic fluxes of geomagnetically trapped particles from in-flight measurements of high precision. Advances in Space Research. 74(2). 1030–1038.

Malakhov, V., et al.. (2024). Calculation of Geomagnetic Cutoff Rigidity Using Tracing Based on the Buneman–Boris Method. Geomagnetism and Aeronomy. 64(5). 735–742.

Malakhov, V., et al.. (2024). Determining the Geomagnetic Cutoff Rigidity and Modeling the Motion of Particles in the Earth’s Magnetosphere. Bulletin of the Russian Academy of Sciences Physics. 88(2). 285–287.

Malakhov, V., A. Leonov, A. G. Mayorov, & V. V. Mikhailov. (2023). Calculation of Geomagnetically Trapped Proton Flux from the PAMELA Experimental Data. Physics of Atomic Nuclei. 86(6). 1125–1132. 1 indexed citations

Malakhov, V., et al.. (2023). Measurements of the trapped proton and helium fluxes in the PAMELA experiment. Proceedings Of Science. 117–117. 1 indexed citations

Mayorov, A. G., et al.. (2022). Review of unfolding methods. Physics-Uspekhi. 66(6). 628–642.

Malakhov, V., et al.. (2022). Magnetic field in the inner near-Earth space. Physics-Uspekhi. 66(10). 967–986. 1 indexed citations

Mayorov, A. G., et al.. (2022). Review of unfolding methods. Uspekhi Fizicheskih Nauk. 193(6). 669–685.

Malakhov, V. & A. G. Mayorov. (2021). Calculating a Directional Flux in Near-Earth Space. Bulletin of the Russian Academy of Sciences Physics. 85(4). 386–388. 3 indexed citations

10.

Mayorov, A. G., et al.. (2019). Track reconstruction of antiprotons and antideuterons in the coordinate-sensitive calorimeter of PAMELA spectrometer using the Hough transform. Journal of Physics Conference Series. 1189. 12009–12009. 2 indexed citations

11.

Galper, A. M., et al.. (2019). Spatial and Temporal Variations of Proton Fluxes in the Earth’s Inner Radiation Belt during a Solar Cycle. Bulletin of the Russian Academy of Sciences Physics. 83(5). 582–583. 1 indexed citations

12.

Mayorov, A. G., et al.. (2019). Studying 27-Day Variations in the GCR Flux, Based on PAMELA Measurements. Bulletin of the Russian Academy of Sciences Physics. 83(5). 576–578.

13.

Mayorov, A. G., et al.. (2019). Reconstruction of particle’s energy spectrum in experiment with Unfolding technique. Journal of Physics Conference Series. 1390(1). 12071–12071. 2 indexed citations

14.

Mayorov, A. G., et al.. (2018). Solar Flare Activity from 2006 to 2016 according to Data from the PAMELA and ARINA Spectrometers. Physics of Atomic Nuclei. 81(5). 634–637. 1 indexed citations

15.

Belotsky, K. M., et al.. (2017). Review of the results of measurements of the fluxes of the charged components of galactic cosmic rays in the experiments PAMELA and AMS-02. Physics of Particles and Nuclei. 48(5). 687–690. 4 indexed citations

16.

Belotsky, K. M., et al.. (2016). On a possible solution to gamma-ray overabundance arising in dark matter explanation of cosmic antiparticle excess. Journal of Physics Conference Series. 675(1). 12026–12026. 4 indexed citations

17.

Belotsky, K. M., et al.. (2016). High-energy cosmic antiparticle excess vs. isotropic gamma-ray background problem in decaying dark matter Universe. Journal of Physics Conference Series. 675(1). 12023–12023. 4 indexed citations

18.

Malakhov, V., et al.. (2015). Time Variations of Proton Flux in Earth Inner Radiation Belt for 2006-2015 Years based on the PAMELA and the ARINA Data. Physics Procedia. 74. 377–381. 2 indexed citations

19.

Karelin, A. V., С. В. Борисов, S. A. Voronov, & V. Malakhov. (2013). Separation of the electron and proton cosmic-ray components by means of a calorimeter in the PAMELA satellite-borne experiment for the case of particle detection within a large aperture. Physics of Atomic Nuclei. 76(6). 737–747. 3 indexed citations

20.

Karelin, A. V., S. A. Voronov, A. M. Galper, V. Malakhov, & V. V. Mikhailov. (2013). Measurement of the deflection of cosmic-ray electrons in the energy range 75–250 GeV by the Earth’s magnetic field with the PAMELA experiment. Journal of Experimental and Theoretical Physics. 117(1). 62–71. 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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