Maxim Shishlenin

1.0k citations
61 papers · 639 indexed · h-index 17
Topics
Numerical methods in inverse problems (42 papers)Advanced Mathematical Modeling in Engineering (15 papers)Microwave Imaging and Scattering Analysis (11 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Maxim Shishlenin

53 papers receiving 606 citations

Peers

Maxim Shishlenin
Comparison fields: 5 of 60
  • Mathematical Physics 428
  • Computational Theory and Mathematics 219
  • Numerical Analysis 195
  • Biomedical Engineering 170
  • Applied Mathematics 148
Replace Anatoly B. Bakushinsky with:
Anatoly B. Bakushinsky Russia
Antonio Leitão Brazil
Teresa Regińska Poland
M. Yu. Kokurin Russia
П. Н. Вабищевич Russia
Larisa Beilina Sweden
Herbert Egger Germany
V. V. Shelukhin Russia
Ian Knowles United States
А.Б. Бакушинский Russia
Maxim Shishlenin relative to Anatoly B. Bakushinsky Russia Anatoly B. Bakushinsky's profile →
Citations per field
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Anatoly B. Bakushinsky · 1×
Citations per year

Countries citing papers authored by Maxim Shishlenin

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Shishlenin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Shishlenin

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Shishlenin. A scholar is included among the top collaborators of Maxim Shishlenin 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 Maxim Shishlenin. Maxim Shishlenin 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 0
2 0
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5 2
6 2
7 0
8 1
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10 2
11 1
12 5
13 8
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15 16
16 12
17 34
18 36
19 8
20 23

About Maxim Shishlenin

Maxim Shishlenin is a scholar working on Mathematical Physics, Numerical Analysis and Applied Mathematics, having authored 61 papers that have together received 639 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (42 papers), Advanced Mathematical Modeling in Engineering (15 papers) and Microwave Imaging and Scattering Analysis (11 papers). The work is most often cited by research in Mathematical Physics (428 citations), Numerical Analysis (195 citations) and Applied Mathematics (148 citations). Maxim Shishlenin has collaborated with scholars based in Russia, Kazakhstan and United Kingdom. Frequent co-authors include Sergey Kabanikhin, D. V. Lukyanenko, Karl K. Sabelfeld, Otmar Scherzer, Olga Krivorotko, Ivan Oseledets, Yusif S. Gasimov, Ðinh Nho Hào, Igor Kulikov and А. С. Козелков. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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