A. S. Dmitriev

990 citations
87 papers · 639 · h-index 14

Impact in

Papers in

A. S. Dmitriev

79 papers receiving 567 citations

Peers

A. S. Dmitriev
Comparison fields: 5 of 52
  • Statistical and Nonlinear Physics 378
  • Computer Networks and Communications 285
  • Computer Vision and Pattern Recognition 120
  • Aerospace Engineering 90
  • Mathematical Physics 32
Replace Ned J. Corron with:
Ned J. Corron United States
G.M. Maggio United States
Jonathan N. Blakely United States
С. О. Старков Russia
G. Mykolaitis Lithuania
Fang Jin-Qing China
P. Arena Italy
G. Kis Hungary
Recai Kılıç Türkiye
Jianhong Xiang China
A. S. Dmitriev relative to Ned J. Corron United States Ned J. Corron's profile →
Citations per field
00.5×2.6×
Ned J. Corron · 1×
Citations per year

Countries citing papers authored by A. S. Dmitriev

Since Specialization
Citations

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

Fields of papers citing papers by A. S. Dmitriev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. Dmitriev. 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 A. S. Dmitriev. The network helps show where A. S. Dmitriev may publish in the future.

Co-authors

The 14 scholars most cited alongside A. S. Dmitriev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. S. Dmitriev Line = papers co-authored together A. S. Dmitriev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200356
2 199545
3 200534
4 199632
5 200631
6 199627
7 199725
8 199718
9 201417
10 200816
11 199715
12 201715
13 199215
14 200813
15 200313
16 199113
17 199213
18 200012
19 201711
20 201610

About A. S. Dmitriev

A. S. Dmitriev is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 87 papers that have together received 639 indexed citations. Recurring topics across this work include Chaos control and synchronization (48 papers), Nonlinear Dynamics and Pattern Formation (39 papers), Quantum chaos and dynamical systems (14 papers), Ultra-Wideband Communications Technology (13 papers), Chaos-based Image/Signal Encryption (10 papers), Fractal and DNA sequence analysis (9 papers), Neural Networks and Applications (8 papers) and Cybersecurity and Information Systems (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (378 citations), Computer Networks and Communications (285 citations), Computer Vision and Pattern Recognition (120 citations), Aerospace Engineering (90 citations) and Mathematical Physics (32 citations). A. S. Dmitriev has collaborated with scholars based in Russia, United States and Switzerland. Frequent co-authors include С. О. Старков, A. I. Panas, M. E. Shirokov, Sang‐Min Han, Maxim G. Popov, Chia‐Chun Wu, Dmitry Turaev, К. В. Захарченко, Yu. V. Gulyaev and A. N. Anagnostopoulos. Their work appears in journals such as International Journal of Bifurcation and Chaos, Journal of Communications Technology and Electronics, Physics Letters A, Technical Physics Letters and Electronics.

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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