А. М. Чеботарев

647 citations
61 papers · 381 indexed · h-index 10

А. М. Чеботарев

50 papers receiving 318 citations

Peers

А. М. Чеботарев
Comparison fields: 5 of 36
  • Atomic and Molecular Physics, and Optics 218
  • Artificial Intelligence 180
  • Mathematical Physics 133
  • Statistical and Nonlinear Physics 117
  • Statistics and Probability 52
Replace Vojkan Jakšić with:
Vojkan Jakšić Canada
Masao Hirokawa Japan
Burkhard Kümmerer Germany
Nicolas Rougerie France
Charles N. Friedman United States
Dario Trevisan Italy
Raphael Ho egh-Krohn Norway
Charles‐Edouard Pfister Switzerland
Sonia Mazzucchi Italy
Zied Ammari France
А. М. Чеботарев relative to Vojkan Jakšić Canada Vojkan Jakšić's profile →
Citations per field
00.5×3.6×
Vojkan Jakšić · 1×
Citations per year

Countries citing papers authored by А. М. Чеботарев

Since Specialization
Citations

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

Fields of papers citing papers by А. М. Чеботарев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by А. М. Чеботарев. 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 А. М. Чеботарев. The network helps show where А. М. Чеботарев may publish in the future.

Co-authorship network of co-authors of А. М. Чеботарев

This figure shows the co-authorship network connecting the top 25 collaborators of А. М. Чеботарев. A scholar is included among the top collaborators of А. М. Чеботарев 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 А. М. Чеботарев. А. М. Чеботарев 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 9
2 4
3 5
4 9
5 3
6
The Monte Carlo method for the Schrodinger equation with periodic asymmetric potential
1
7 1
8 1
9 1
10 73
11 2
12
A PRIORI ESTIMATES AND EXISTENCE THEOREMS FOR THE LINDBLAD EQUATION WITH UNBOUNDED TIME-DEPENDENT COEFFICIENTS(Recent Trends in Infinite Dimensional Non-Commutative Analysis)
3
13 4
14
Logarithmic asymptotics for the solution of the Cauchy problem for the Boltzmann equation
0
15 32
16
Probabilistic representations of solutions of the Cauchy problem for equations of quantum mechanics
2
17
The fast Fourier transform in a problem with multiple nodes
1
18 1
19
Dfinition of the Feynman path integral in the $P$-representation
6
20
A representation of the solution of an equation of Hartree type in the form of a $T$-mapping
5

About А. М. Чеботарев

А. М. Чеботарев is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Applied Mathematics, having authored 61 papers that have together received 381 indexed citations. Recurring topics across this work include advanced mathematical theories (15 papers), Quantum Information and Cryptography (15 papers) and Spectral Theory in Mathematical Physics (14 papers). The work is most often cited by research in Mathematical Physics (133 citations), Statistical and Nonlinear Physics (117 citations) and Atomic and Molecular Physics, and Optics (218 citations). А. М. Чеботарев has collaborated with scholars based in Russia, Tajikistan and Italy. Frequent co-authors include Franco Fagnola, V. P. Maslov, Andrey A. Radionov, A. S. Chirkin, A. A. Konstantinov and A. V. Polyakov. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Applied Mathematics and Computation and Journal of Functional Analysis.

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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