А. И. Саичев

2.7k citations
84 papers · 1.7k indexed · h-index 24
Topics
Complex Systems and Time Series Analysis (17 papers)Fluid Dynamics and Turbulent Flows (8 papers)Stochastic processes and statistical mechanics (8 papers)

In The Last Decade

А. И. Саичев

74 papers receiving 1.6k citations

Peers

А. И. Саичев
Comparison fields: 5 of 100
  • Statistical and Nonlinear Physics 353
  • Economics and Econometrics 304
  • Geophysics 299
  • Astronomy and Astrophysics 227
  • Modeling and Simulation 194
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Citations per year

Countries citing papers authored by А. И. Саичев

Since Specialization
Citations

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

Fields of papers citing papers by А. И. Саичев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. И. Саичев

This figure shows the co-authorship network connecting the top 25 collaborators of А. И. Саичев. A scholar is included among the top collaborators of А. И. Саичев 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. И. Саичев. А. И. Саичев 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 15
2 12
3
Endogenous bubbles in an equilibrium model of rational and noise traders without strategy switching
2
4 26
5 11
6 30
7 35
8 134
9 35
10 30
11 40
12 34
13
Anomalous Scaling of Offspring and Generation Numbers in Branching Processes
11
14
Chaotic focusing of ray tubes in a random inhomogeneous medium
0
15
Diffusion of rays in a medium containing random oblong inhomogeneities
1
16
Nonlinear random waves in nondispersive media
9
17
Model description of the development of the large-scale structure of the universe
2
18
Establishment of self-similar regimes of nonlinear random waves in dissipative media
1
19
Ray description of waves reflected with phase conjugation
0
20
Probabilistic description of random fields satisfying simplest equations of the hydrodynamic type
1

About А. И. Саичев

А. И. Саичев is a scholar working on Acoustics and Ultrasonics, Mathematical Physics and Statistical and Nonlinear Physics, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (17 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Stochastic processes and statistical mechanics (8 papers). The work is most often cited by research in Acoustics and Ultrasonics (143 citations), Modeling and Simulation (194 citations) and Statistical and Nonlinear Physics (353 citations). А. И. Саичев has collaborated with scholars based in Russia, United States and Switzerland. Frequent co-authors include Didier Sornette, С. Н. Гурбатов, Yu. A. Kravtsov, Wojbor A. Woyczyński, S. F. Shandarin, Alexandra Piryatinska, A. N. Malakhov, Valerii I. Klyatskin, Agnès Helmstetter and О. В. Руденко. Their work appears in journals such as Physical Review Letters, Journal of Fluid Mechanics and Proceedings of the IEEE.

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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