Alexey Kazakov

86 total papers · 878 total citations
53 papers, 613 citations indexed

About

Alexey Kazakov is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Mathematical Physics. According to data from OpenAlex, Alexey Kazakov has authored 53 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistical and Nonlinear Physics, 24 papers in Computer Networks and Communications and 10 papers in Mathematical Physics. Recurrent topics in Alexey Kazakov's work include Quantum chaos and dynamical systems (31 papers), Chaos control and synchronization (30 papers) and Nonlinear Dynamics and Pattern Formation (24 papers). Alexey Kazakov is often cited by papers focused on Quantum chaos and dynamical systems (31 papers), Chaos control and synchronization (30 papers) and Nonlinear Dynamics and Pattern Formation (24 papers). Alexey Kazakov collaborates with scholars based in Russia, United Kingdom and Germany. Alexey Kazakov's co-authors include С. В. Гонченко, A. S. Gonchenko, А. В. Борисов, I. R. Sataev, А. В. Борисов, Dmitry Turaev, Grigory V. Osipov, Ivan A. Bizyaev, Nataliya Stankevich and Arkady Pikovsky and has published in prestigious journals such as Physical Review Letters, Physica D Nonlinear Phenomena and Chaos Solitons & Fractals.

In The Last Decade

Alexey Kazakov

48 papers receiving 571 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Alexey Kazakov	469	271	148	124	99	53	613
I. R. Sataev	507 1.1×	377 1.4×	68 0.5×	58 0.5×	95 1.0×	51	603
Philip Boyland	334 0.7×	105 0.4×	17 0.1×	175 1.4×	315 3.2×	28	584
Takuji Kousaka	433 0.9×	331 1.2×	96 0.6×	47 0.4×	12 0.1×	104	633
Jianhua Xie	291 0.6×	167 0.6×	178 1.2×	77 0.6×	45 0.5×	47	502
Gerald Moore	107 0.2×	63 0.2×	78 0.5×	35 0.3×	40 0.4×	24	616
William D. Kalies	167 0.4×	75 0.3×	82 0.6×	62 0.5×	168 1.7×	30	626
Tetsuro Endo	387 0.8×	398 1.5×	31 0.2×	18 0.1×	16 0.2×	58	621
Jean Maquet	348 0.7×	268 1.0×	68 0.5×	7 0.1×	17 0.2×	29	648
Paulo Ricardo da Silva	337 0.7×	131 0.5×	62 0.4×	337 2.7×	44 0.4×	38	499
Charles Pezeshki	275 0.6×	168 0.6×	121 0.8×	15 0.1×	15 0.2×	37	576

Countries citing papers authored by Alexey Kazakov

Since Specialization

Citations

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

Fields of papers citing papers by Alexey Kazakov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Kazakov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Kazakov. A scholar is included among the top collaborators of Alexey Kazakov 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 Alexey Kazakov. Alexey Kazakov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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