Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Distributed acoustic sensing for reservoir monitoring with vertical seismic profiling
2014350 citationsB. N. Kuvshinov et al.Geophysical Prospectingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by B. N. Kuvshinov
Since
Specialization
Citations
This map shows the geographic impact of B. N. Kuvshinov'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 B. N. Kuvshinov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. N. Kuvshinov more than expected).
This network shows the impact of papers produced by B. N. Kuvshinov. 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 B. N. Kuvshinov. The network helps show where B. N. Kuvshinov may publish in the future.
Co-authorship network of co-authors of B. N. Kuvshinov
This figure shows the co-authorship network connecting the top 25 collaborators of B. N. Kuvshinov.
A scholar is included among the top collaborators of B. N. Kuvshinov 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 B. N. Kuvshinov. B. N. Kuvshinov is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kuvshinov, B. N. & A. B. Mikhaǐlovskiǐ. (1998). Kinetic energy principle for a tokamak allowing for bounce and transit resonances. Plasma Physics Reports. 24(8). 623–636.5 indexed citations
10.
Kuvshinov, B. N. & A. B. Mikhaǐlovskiǐ. (1998). Neoclassical theory of magnetic islands in tokamaks. Plasma Physics Reports. 24(4). 245–262.19 indexed citations
Kuvshinov, B. N. & A. B. Mikhaǐlovskiǐ. (1996). MHD model including small-scale perturbations in a plasma with temperature variations. Plasma Physics Reports. 22(6). 529–534.11 indexed citations
13.
Mikhaǐlovskiǐ, A. B. & B. N. Kuvshinov. (1995). Stabilization of external kink modes in a tokamak with rotating plasma. Plasma Physics Reports. 21(10). 802–816.14 indexed citations
14.
Mikhaǐlovskiǐ, A. B. & B. N. Kuvshinov. (1995). Resistive-wall instability of external kink modes in a tokamak. Plasma Physics Reports. 21(10). 789–801.1 indexed citations
15.
Kuvshinov, B. N., A. B. Mikhaǐlovskiǐ, & S. E. Sharapov. (1995). Plasma rotation in a rippled-field tokamak in the absence of a fast-ion beam. Plasma Physics Reports. 21(9). 713–718.5 indexed citations
16.
Kuvshinov, B. N., A. B. Mikhaǐlovskiǐ, & V. D. Pustovitov. (1994). Analytical theory of kink and tearing modes in stellarators with a current. Plasma Physics Reports. 20(3). 252–256.2 indexed citations
Kuvshinov, B. N. & A. B. Mikhaǐlovskiǐ. (1993). Identical form for the equations of the higher helical and weak ballooning modes. Plasma Physics Reports. 19(2). 139–142.1 indexed citations
19.
Kuvshinov, B. N., et al.. (1988). Drift effects and electron viscosity in resistive ballooning modes in a tokamak with a high-/beta/plasma.1 indexed citations
20.
Dorofeev, S.B., et al.. (1984). Rate of combustion of charcoal. Combustion Explosion and Shock Waves. 20(5). 475–479.2 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.