A. N. Sharkovsky

77 total papers · 1.1k total citations
40 papers, 605 citations indexed

About

A. N. Sharkovsky is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Computer Networks and Communications. According to data from OpenAlex, A. N. Sharkovsky has authored 40 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistical and Nonlinear Physics, 11 papers in Mathematical Physics and 9 papers in Computer Networks and Communications. Recurrent topics in A. N. Sharkovsky's work include Quantum chaos and dynamical systems (14 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and Chaos control and synchronization (9 papers). A. N. Sharkovsky is often cited by papers focused on Quantum chaos and dynamical systems (14 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and Chaos control and synchronization (9 papers). A. N. Sharkovsky collaborates with scholars based in Ukraine, Portugal and United States. A. N. Sharkovsky's co-authors include E. Yu. Romanenko, Yu. L. Maistrenko, В. В. Федоренко, S. F. Kolyada, Leon O. Chua, Lynn Chua, Gregory Derfel, Alexander Blokh, Uwe an der Heiden and Anatoli F. Ivanov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nonlinear Dynamics and International Journal of Bifurcation and Chaos.

In The Last Decade

A. N. Sharkovsky

35 papers receiving 537 citations

Author Peers

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

Author						Papers	Cites
A. N. Sharkovsky	328	202	201	106	97	40	605
Francisco Balibrea	319 1.0×	136 0.7×	367 1.8×	78 0.7×	52 0.5×	69	660
Herb Kunze	93 0.3×	46 0.2×	219 1.1×	92 0.9×	23 0.2×	62	602
Shuai Yuan	134 0.4×	213 1.1×	77 0.4×	129 1.2×	91 0.9×	37	505
Jiong Ruan	396 1.2×	508 2.5×	60 0.3×	25 0.2×	65 0.7×	50	670
Bernd Aulbach	171 0.5×	138 0.7×	110 0.5×	216 2.0×	74 0.8×	45	630
Christian Pötzsche	146 0.4×	194 1.0×	103 0.5×	289 2.7×	120 1.2×	77	676
Volker Wihstutz	223 0.7×	112 0.6×	106 0.5×	49 0.5×	37 0.4×	17	513
Otomar Hájek	114 0.3×	62 0.3×	173 0.9×	155 1.5×	36 0.4×	43	687
Ale Jan Homburg	364 1.1×	223 1.1×	205 1.0×	22 0.2×	17 0.2×	44	508
Peiyong Zhu	246 0.8×	277 1.4×	161 0.8×	65 0.6×	11 0.1×	49	543

Countries citing papers authored by A. N. Sharkovsky

Since Specialization

Citations

This map shows the geographic impact of A. N. Sharkovsky'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. Sharkovsky 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. Sharkovsky more than expected).

Fields of papers citing papers by A. N. Sharkovsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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