Vasyl Tyberkevych

85 total papers · 874 total citations
30 papers, 469 citations indexed

About

Vasyl Tyberkevych is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Vasyl Tyberkevych has authored 30 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Atomic and Molecular Physics, and Optics, 17 papers in Electrical and Electronic Engineering and 9 papers in Condensed Matter Physics. Recurrent topics in Vasyl Tyberkevych's work include Magnetic properties of thin films (22 papers), Quantum and electron transport phenomena (9 papers) and Neural Networks and Reservoir Computing (8 papers). Vasyl Tyberkevych is often cited by papers focused on Magnetic properties of thin films (22 papers), Quantum and electron transport phenomena (9 papers) and Neural Networks and Reservoir Computing (8 papers). Vasyl Tyberkevych collaborates with scholars based in United States, Ukraine and Russia. Vasyl Tyberkevych's co-authors include A. N. Slavin, Oleksandr Prokopenko, Ivan Lisenkov, С. А. Никитов, Roman Khymyn, Thomas J. Meitzler, Johan Åkerman, V. Novosad, W. K. Kwok and Elena Bankowski and has published in prestigious journals such as Physical Review Letters, Nano Letters and Applied Physics Letters.

In The Last Decade

Vasyl Tyberkevych

28 papers receiving 461 citations

Author Peers

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

Author						Papers	Cites
Vasyl Tyberkevych	392	217	136	77	75	30	469
R. M. Otxoa	364 0.9×	133 0.6×	130 1.0×	78 1.0×	50 0.7×	32	412
A. Hamadeh	392 1.0×	213 1.0×	114 0.8×	56 0.7×	83 1.1×	32	447
D. Herrell	171 0.4×	316 1.5×	137 1.0×	43 0.6×	52 0.7×	34	465
Daniele Pinna	403 1.0×	202 0.9×	186 1.4×	85 1.1×	78 1.0×	15	510
Daniel Bothner	391 1.0×	98 0.5×	203 1.5×	144 1.9×	38 0.5×	30	497
J.P. Sage	186 0.5×	301 1.4×	62 0.5×	89 1.2×	60 0.8×	29	422
Yuma Okazaki	455 1.2×	155 0.7×	103 0.8×	44 0.6×	63 0.8×	36	532
Houyi Cheng	338 0.9×	253 1.2×	83 0.6×	38 0.5×	42 0.6×	27	473
V. K. Kaplunenko	386 1.0×	208 1.0×	407 3.0×	27 0.4×	33 0.4×	34	489
A. Giordano	445 1.1×	232 1.1×	177 1.3×	36 0.5×	97 1.3×	35	550

Countries citing papers authored by Vasyl Tyberkevych

Since Specialization

Citations

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

Fields of papers citing papers by Vasyl Tyberkevych

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasyl Tyberkevych

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