Victor Mikhaylov

689 citations
54 papers · 407 indexed · h-index 12
Topics
Numerical methods in inverse problems (30 papers)Spectral Theory in Mathematical Physics (24 papers)Advanced Mathematical Modeling in Engineering (19 papers)

In The Last Decade

Victor Mikhaylov

50 papers receiving 387 citations

Peers

Victor Mikhaylov
Comparison fields: 5 of 49
  • Mathematical Physics 244
  • Computational Theory and Mathematics 135
  • Nuclear and High Energy Physics 97
  • Statistical and Nonlinear Physics 95
  • Control and Systems Engineering 67
Replace Giandomenico Orlandi with:
Giandomenico Orlandi Italy
京都大学数理解析研究所
Vladimir Dragović Serbia
Fang-Hua Lin United States
Hernán Cendra Argentina
Min-Chun Hong Australia
Xiang Xu United States
Leonid Friedlander United States
Jim Bryan United States
Murat Tosun Türkiye
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Citations per field
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Giandomenico Orlandi · 1×
Citations per year

Countries citing papers authored by Victor Mikhaylov

Since Specialization
Citations

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

Fields of papers citing papers by Victor Mikhaylov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Mikhaylov

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Mikhaylov. A scholar is included among the top collaborators of Victor Mikhaylov 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 Victor Mikhaylov. Victor Mikhaylov 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
#WorkIndexed citations
1 1
2 27
3 1
4 1
5 2
6 3
7 8
8 2
9 5
10 1
11 4
12 3
13 10
14 13
15 8
16 12
17 4
18 32
19 36
20 6

About Victor Mikhaylov

Victor Mikhaylov is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics, having authored 54 papers that have together received 407 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (30 papers), Spectral Theory in Mathematical Physics (24 papers) and Advanced Mathematical Modeling in Engineering (19 papers). The work is most often cited by research in Mathematical Physics (244 citations), Nuclear Energy and Engineering (4 citations) and Computational Theory and Mathematics (135 citations). Victor Mikhaylov has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include Sergei Avdonin, Edward Witten, Nikolay Gromov, Günter Leugering, Μ. I. Belishev, Alexei Rybkin, Arnold J. Levine, Grant L. J. Keller, Brian M. Baker and Karim Ramdani. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of High Energy Physics and Communications in Mathematical Physics.

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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