Dmytro Ivaneyko

27 total papers · 609 total citations
15 papers, 486 citations indexed

About

Dmytro Ivaneyko is a scholar working on Condensed Matter Physics, Civil and Structural Engineering and Polymers and Plastics. According to data from OpenAlex, Dmytro Ivaneyko has authored 15 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Condensed Matter Physics, 7 papers in Civil and Structural Engineering and 7 papers in Polymers and Plastics. Recurrent topics in Dmytro Ivaneyko's work include Polymer Nanocomposites and Properties (7 papers), Vibration Control and Rheological Fluids (7 papers) and Theoretical and Computational Physics (5 papers). Dmytro Ivaneyko is often cited by papers focused on Polymer Nanocomposites and Properties (7 papers), Vibration Control and Rheological Fluids (7 papers) and Theoretical and Computational Physics (5 papers). Dmytro Ivaneyko collaborates with scholars based in Germany, Ukraine and Russia. Dmytro Ivaneyko's co-authors include Vladimir Toshchevikov, Marina Saphiannikova, Gert Heinrich, Yurij Holovatch, Jaroslav Ilnytskyi, Bertrand Berche, Bertrand Delamotte, Dmitry Borin, Lukas M. Eng and P. H. M. van Loosdrecht and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Polymer.

In The Last Decade

Dmytro Ivaneyko

15 papers receiving 478 citations

Author Peers

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

Author						Papers	Cites
Dmytro Ivaneyko	322	218	105	74	69	15	486
Juan Pablo Segovia-Gutiérrez	365 1.1×	249 1.1×	24 0.2×	45 0.6×	44 0.6×	17	520
Chen-Kuo Huang	211 0.7×	51 0.2×	52 0.5×	25 0.3×	117 1.7×	13	511
Amr Mohammed	194 0.6×	100 0.5×	42 0.4×	21 0.3×	16 0.2×	16	534
Shihab Elborai	57 0.2×	349 1.6×	49 0.5×	8 0.1×	61 0.9×	11	447
M. Jaegle	79 0.2×	95 0.4×	16 0.2×	28 0.4×	56 0.8×	17	420
Elah Bozorg-Grayeli	99 0.3×	44 0.2×	176 1.7×	27 0.4×	54 0.8×	17	539
Jinhee Ham	101 0.3×	61 0.3×	43 0.4×	12 0.2×	133 1.9×	20	529
Maciej Haras	138 0.4×	110 0.5×	8 0.1×	39 0.5×	65 0.9×	20	434
Serge Cutillas	224 0.7×	238 1.1×	38 0.4×	21 0.3×	20 0.3×	15	412
Christopher B. Saltonstall	100 0.3×	89 0.4×	24 0.2×	10 0.1×	75 1.1×	18	428

Countries citing papers authored by Dmytro Ivaneyko

Since Specialization

Citations

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

Fields of papers citing papers by Dmytro Ivaneyko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmytro Ivaneyko

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