Yu. E. Anikonov

405 citations
59 papers · 268 indexed · h-index 10
Topics
Numerical methods in inverse problems (34 papers)Advanced Mathematical Modeling in Engineering (16 papers)Differential Equations and Boundary Problems (16 papers)
Partner nations
RussiaJapanItaly

In The Last Decade

Yu. E. Anikonov

45 papers receiving 238 citations

Peers

Yu. E. Anikonov
Comparison fields: 5 of 37
  • Mathematical Physics 173
  • Applied Mathematics 115
  • Computational Theory and Mathematics 73
  • Mechanics of Materials 48
  • Numerical Analysis 37
Replace Norbert Ortner with:
Norbert Ortner Austria
Robert Plato Germany
Rafael Orive Spain
Daniel Faraco Spain
Bruno Rubino Italy
Vitalii P. Tanana
Nenad Antonić Croatia
A. M. Gomilko Ukraine
Nakhlé H. Asmar United States
H.-J. Reinhardt Germany
Yu. E. Anikonov relative to Norbert Ortner Austria Norbert Ortner's profile →
Citations per field
00.5×1.5×2.3×
Norbert Ortner · 1×
Citations per year

Countries citing papers authored by Yu. E. Anikonov

Since Specialization
Citations

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

Fields of papers citing papers by Yu. E. Anikonov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu. E. Anikonov

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. E. Anikonov. A scholar is included among the top collaborators of Yu. E. Anikonov 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 Yu. E. Anikonov. Yu. E. Anikonov 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 0
3 3
4 13
5 12
6 0
7 4
8 9
9 2
10 9
11 4
12 19
13 2
14
Methods for studying multidimensional inverse problems for evolution equations
2
15 1
16
Inverse problems for nonlinear equations and synergetics
1
17 1
18 1
19 1
20 3

About Yu. E. Anikonov

Yu. E. Anikonov is a scholar working on Mathematical Physics, Applied Mathematics and Numerical Analysis, having authored 59 papers that have together received 268 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (34 papers), Advanced Mathematical Modeling in Engineering (16 papers) and Differential Equations and Boundary Problems (16 papers). The work is most often cited by research in Mathematical Physics (173 citations), Applied Mathematics (115 citations) and Numerical Analysis (37 citations). Yu. E. Anikonov has collaborated with scholars based in Russia, Japan and Italy. Frequent co-authors include V. G. Romanov, Alfredo Lorenzi, Masahiro Yamamoto, M. L. Glasser, N. B. Pivovarova and Jin Cheng. Their work appears in journals such as European Journal of Applied Mathematics, Siberian Mathematical Journal and Journal of Mathematical Sciences.

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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