A. N. Malakhov

110 total papers · 578 total citations
43 papers, 377 citations indexed

About

A. N. Malakhov is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, A. N. Malakhov has authored 43 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 8 papers in Computer Networks and Communications and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in A. N. Malakhov's work include stochastic dynamics and bifurcation (15 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers) and Nonlinear Dynamics and Pattern Formation (8 papers). A. N. Malakhov is often cited by papers focused on stochastic dynamics and bifurcation (15 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers) and Nonlinear Dynamics and Pattern Formation (8 papers). A. N. Malakhov collaborates with scholars based in Russia. A. N. Malakhov's co-authors include А. И. Саичев, С. Н. Гурбатов, A. L. Pankratov, N. V. Agudov, A. A. Dubkov, Alexander Maltsev, E. L. Pankratov, A. L. Virovlyansky and Г. Н. Бочков and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Chaos An Interdisciplinary Journal of Nonlinear Science and International Journal of Bifurcation and Chaos.

In The Last Decade

A. N. Malakhov

34 papers receiving 351 citations

Author Peers

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

Author						Papers	Cites
A. N. Malakhov	223	88	82	50	45	43	377
Alessio Turchi	184 0.8×	104 1.2×	91 1.1×	62 1.2×	40 0.9×	25	405
A. Yu. Loskutov	251 1.1×	72 0.8×	172 2.1×	15 0.3×	12 0.3×	44	420
V. E. Shapiro	285 1.3×	148 1.7×	119 1.5×	48 1.0×	9 0.2×	17	391
Patrizia Castiglione	175 0.8×	57 0.6×	28 0.3×	25 0.5×	123 2.7×	14	398
Gregor Veble	175 0.8×	131 1.5×	43 0.5×	52 1.0×	60 1.3×	24	339
Jean‐Pierre Boon	132 0.6×	71 0.8×	117 1.4×	10 0.2×	107 2.4×	27	432
G. Broggi	296 1.3×	73 0.8×	175 2.1×	20 0.4×	5 0.1×	16	408
Andreas Döring	58 0.3×	153 1.7×	40 0.5×	56 1.1×	18 0.4×	29	346
Camilo Rodrigues Neto	101 0.5×	20 0.2×	71 0.9×	80 1.6×	27 0.6×	36	370
C. M. Arizmendi	215 1.0×	90 1.0×	109 1.3×	57 1.1×	7 0.2×	54	401

Countries citing papers authored by A. N. Malakhov

Since Specialization

Citations

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

Fields of papers citing papers by A. N. Malakhov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. N. Malakhov

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