T. N. Mokaev

55 total papers · 1.1k total citations
27 papers, 902 citations indexed

About

T. N. Mokaev is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Control and Systems Engineering. According to data from OpenAlex, T. N. Mokaev has authored 27 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 15 papers in Statistical and Nonlinear Physics and 7 papers in Control and Systems Engineering. Recurrent topics in T. N. Mokaev's work include Nonlinear Dynamics and Pattern Formation (15 papers), Chaos control and synchronization (15 papers) and Quantum chaos and dynamical systems (10 papers). T. N. Mokaev is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (15 papers), Chaos control and synchronization (15 papers) and Quantum chaos and dynamical systems (10 papers). T. N. Mokaev collaborates with scholars based in Russia, Finland and Egypt. T. N. Mokaev's co-authors include Н. В. Кузнецов, Г. А. Леонов, О. А. Кузнецова, Nataliya Stankevich, Guanrong Chen, В. И. Пономаренко, Leon O. Chua, S. M. Seledzhi, Olga Kuznetsova and Boris Andrievsky and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, International Journal of Control and Nonlinear Dynamics.

In The Last Decade

T. N. Mokaev

26 papers receiving 874 citations

Hit Papers

Homoclinic orbits, and se... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
T. N. Mokaev 787 536 88 74 72 27 902
René Lozi 548 0.7× 292 0.5× 136 1.5× 151 2.0× 70 1.0× 67 847
Shijian Cang 890 1.1× 453 0.8× 260 3.0× 80 1.1× 19 0.3× 43 1.0k
A. Venkatesan 838 1.1× 674 1.3× 55 0.6× 67 0.9× 16 0.2× 36 1.0k
Amina–Aicha Khennaoui 718 0.9× 320 0.6× 178 2.0× 119 1.6× 89 1.2× 55 895
E. Campos-Cantón 692 0.9× 384 0.7× 331 3.8× 89 1.2× 33 0.5× 68 945
Xiao Fan Wang 688 0.9× 674 1.3× 65 0.7× 53 0.7× 41 0.6× 25 966
Nataliya Stankevich 609 0.8× 529 1.0× 28 0.3× 30 0.4× 33 0.5× 59 754
Wajdi M. Ahmad 698 0.9× 330 0.6× 112 1.3× 30 0.4× 52 0.7× 11 997
K.E. Chlouverakis 484 0.6× 367 0.7× 91 1.0× 31 0.4× 9 0.1× 22 712
Fuchen Zhang 488 0.6× 228 0.4× 155 1.8× 132 1.8× 63 0.9× 65 755

Countries citing papers authored by T. N. Mokaev

Since Specialization
Citations

This map shows the geographic impact of T. N. Mokaev'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 T. N. Mokaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. N. Mokaev more than expected).

Fields of papers citing papers by T. N. Mokaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. N. Mokaev. 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 T. N. Mokaev. The network helps show where T. N. Mokaev may publish in the future.

Co-authorship network of co-authors of T. N. Mokaev

This figure shows the co-authorship network connecting the top 25 collaborators of T. N. Mokaev. A scholar is included among the top collaborators of T. N. Mokaev 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 T. N. Mokaev. T. N. Mokaev 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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