M. E. Gusakov

1.6k total citations
64 papers, 1.2k citations indexed

About

M. E. Gusakov is a scholar working on Astronomy and Astrophysics, Geophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. E. Gusakov has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Astronomy and Astrophysics, 39 papers in Geophysics and 26 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. E. Gusakov's work include Pulsars and Gravitational Waves Research (57 papers), High-pressure geophysics and materials (39 papers) and Quantum, superfluid, helium dynamics (20 papers). M. E. Gusakov is often cited by papers focused on Pulsars and Gravitational Waves Research (57 papers), High-pressure geophysics and materials (39 papers) and Quantum, superfluid, helium dynamics (20 papers). M. E. Gusakov collaborates with scholars based in Russia, Poland and Chile. M. E. Gusakov's co-authors include E. M. Kantor, P. Haensel, A. I. Chugunov, Oleg Y. Gnedin, A. D. Kaminker, A. Y. Potekhin, D. G. Yakovlev, К. П. Левенфиш, D. G. Yakovlev and Andreas Reisenegger and has published in prestigious journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

M. E. Gusakov

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. E. Gusakov Russia 20 1.1k 588 351 178 137 64 1.2k
S. Dieters United States 11 979 0.9× 268 0.5× 170 0.5× 296 1.7× 49 0.4× 14 1.1k
Konstantinos N. Gourgouliatos United Kingdom 17 822 0.8× 259 0.4× 79 0.2× 222 1.2× 73 0.5× 44 846
Ersin Göğüş Türkiye 20 1.2k 1.1× 427 0.7× 49 0.1× 184 1.0× 48 0.4× 110 1.3k
S. Dall’Osso Italy 15 978 0.9× 325 0.6× 74 0.2× 182 1.0× 48 0.4× 31 989
J. Kommers United States 11 753 0.7× 200 0.3× 139 0.4× 237 1.3× 39 0.3× 18 824
A. G. Muslimov United States 13 932 0.9× 228 0.4× 95 0.3× 444 2.5× 118 0.9× 28 942
A. D. Kaminker Russia 16 628 0.6× 250 0.4× 145 0.4× 201 1.1× 28 0.2× 57 716
A. F. Fantina France 19 934 0.9× 485 0.8× 171 0.5× 427 2.4× 16 0.1× 50 1.1k
H. Grigorian Armenia 19 1.3k 1.2× 524 0.9× 279 0.8× 748 4.2× 17 0.1× 59 1.5k
G. Ashton United Kingdom 16 632 0.6× 147 0.3× 92 0.3× 82 0.5× 42 0.3× 40 704

Countries citing papers authored by M. E. Gusakov

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Gusakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Gusakov. 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 M. E. Gusakov. The network helps show where M. E. Gusakov may publish in the future.

Co-authorship network of co-authors of M. E. Gusakov

This figure shows the co-authorship network connecting the top 25 collaborators of M. E. Gusakov. A scholar is included among the top collaborators of M. E. Gusakov 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 M. E. Gusakov. M. E. Gusakov 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.
Gusakov, M. E., et al.. (2025). Validating and improving two-fluid simulations of the magnetic field evolution in neutron star cores. Astronomy and Astrophysics. 701. A71–A71.
2.
Potekhin, A. Y., et al.. (2024). Cooling of neutron stars in soft X-ray transients with realistic crust composition. Journal of High Energy Astrophysics. 45. 116–124. 2 indexed citations
3.
Potekhin, A. Y., M. E. Gusakov, & A. I. Chugunov. (2023). Thermal evolution of neutron stars in soft X-ray transients with thermodynamically consistent models of the accreted crust. Monthly Notices of the Royal Astronomical Society. 522(4). 4830–4840. 14 indexed citations
4.
Reisenegger, Andreas, et al.. (2023). Magnetothermal evolution in the cores of adolescent neutron stars: The Grad–Shafranov equilibrium is never reached in the ‘strong-coupling’ regime. Monthly Notices of the Royal Astronomical Society. 527(3). 9431–9449. 3 indexed citations
5.
Chugunov, A. I., et al.. (2022). Pasta Phases in Neutron Star Mantle: Extended Thomas–Fermi vs. Compressible Liquid Drop Approaches. Universe. 8(11). 582–582. 6 indexed citations
6.
Becerra, L., Andreas Reisenegger, J. A. Valdivia, & M. E. Gusakov. (2021). Evolution of random initial magnetic fields in stably stratified and barotropic stars. arXiv (Cornell University). 19 indexed citations
7.
8.
Gusakov, M. E., et al.. (2021). Nonequilibrium thermodynamics of accreted neutron-star crust. Physical review. D. 104(8). 6 indexed citations
9.
Gusakov, M. E., et al.. (2020). Dissipative relativistic magnetohydrodynamics of a multicomponent mixture and its application to neutron stars. Physical review. D. 101(10). 17 indexed citations
10.
Kantor, E. M., et al.. (2020). Constraining Neutron Superfluidity with R-Mode Physics. Physical Review Letters. 125(15). 151101–151101. 14 indexed citations
11.
Gusakov, M. E. & A. I. Chugunov. (2020). Thermodynamically Consistent Equation of State for an Accreted Neutron Star Crust. Physical Review Letters. 124(19). 191101–191101. 30 indexed citations
12.
Gusakov, M. E., et al.. (2019). Bulk viscosity in neutron stars with hyperon cores. Physical review. D. 100(10). 22 indexed citations
13.
Chugunov, A. I., et al.. (2017). R modes and neutron star recycling scenario. Monthly Notices of the Royal Astronomical Society. 468(1). 291–304. 18 indexed citations
14.
Gusakov, M. E., E. M. Kantor, & Andreas Reisenegger. (2015). Rotation-induced deep crustal heating of millisecond pulsars. Monthly Notices of the Royal Astronomical Society Letters. 453(1). L36–L40. 20 indexed citations
15.
Gusakov, M. E., A. I. Chugunov, & E. M. Kantor. (2014). Instability Windows and Evolution of Rapidly Rotating Neutron Stars. Physical Review Letters. 112(15). 151101–151101. 35 indexed citations
16.
Gusakov, M. E., P. Haensel, & E. M. Kantor. (2014). Physics input for modelling superfluid neutron stars with hyperon cores. Monthly Notices of the Royal Astronomical Society. 439(1). 318–333. 57 indexed citations
17.
Gusakov, M. E., E. M. Kantor, & P. Haensel. (2009). Relativistic entrainment matrix of a superfluid nucleon-hyperon mixture: The zero temperature limit. Physical Review C. 79(5). 37 indexed citations
18.
Gusakov, M. E., A. D. Kaminker, D. G. Yakovlev, & Oleg Y. Gnedin. (2004). Enhanced cooling of neutron stars via Cooper-pairing neutrino emission. Springer Link (Chiba Institute of Technology). 39 indexed citations
19.
Gusakov, M. E., D. G. Yakovlev, P. Haensel, & Oleg Y. Gnedin. (2004). Direct Urca process in a neutron star mantle. Springer Link (Chiba Institute of Technology). 16 indexed citations
20.
Gusakov, M. E.. (2002). Neutrino emission from superfluid neutron-star cores: Various types of neutron pairing. Springer Link (Chiba Institute of Technology). 9 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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