O. Burlayenko

1.7k total citations
3 papers, 3 citations indexed

About

O. Burlayenko is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials and Artificial Intelligence. According to data from OpenAlex, O. Burlayenko has authored 3 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Mechanics of Materials and 1 paper in Artificial Intelligence. Recurrent topics in O. Burlayenko's work include Image Retrieval and Classification Techniques (1 paper), Material Science and Thermodynamics (1 paper) and Advanced Image Fusion Techniques (1 paper). O. Burlayenko is often cited by papers focused on Image Retrieval and Classification Techniques (1 paper), Material Science and Thermodynamics (1 paper) and Advanced Image Fusion Techniques (1 paper). O. Burlayenko collaborates with scholars based in Ukraine, Germany and Poland. O. Burlayenko's co-authors include Ivan Fernandez‐Corbaton, Carsten Rockstuhl and Karolina Słowik and has published in prestigious journals such as East European Journal of Physics and Repository KITopen (Karlsruhe Institute of Technology).

In The Last Decade

O. Burlayenko

1 paper receiving 3 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h					Papers	Cites
O. Burlayenko Ukraine	1	3	1	1	1	3	3
R. Dembet France	2	3 1.0×				4	4
A. Demetrio France	2	3 1.0×				3	4
F. R. Zeng China	1	3 1.0×	1 1.0×			5	3
F. Tönnies Germany	2	3 1.0×				2	5
D. Fairbank United States	2	3 1.0×				2	6
R. Pagano United States	2	3 1.0×				2	3
L. Hehn Germany	2	4 1.3×	1 1.0×	1 1.0×		2	6
M. Corradini Italy	2	4 1.3×			1 1.0×	2	5
D. Pais Switzerland	2	4 1.3×				3	6
Xiyu Yan China	2	2 0.7×		1 1.0×	1 1.0×	3	2

Countries citing papers authored by O. Burlayenko

Since Specialization

Citations

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

Fields of papers citing papers by O. Burlayenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of O. Burlayenko

This figure shows the co-authorship network connecting the top 25 collaborators of O. Burlayenko. A scholar is included among the top collaborators of O. Burlayenko 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 O. Burlayenko. O. Burlayenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Burlayenko, O., et al.. (2020). Interaction of atomic systems with quantum vacuum beyond electric dipole approximation. Repository KITopen (Karlsruhe Institute of Technology). 3 indexed citations

2.

Burlayenko, O., et al.. (2018). REDUCED ISOTROPIC CRYSTAL MODEL WITH RESPECT TO THE FOURTH-ORDER ELASTIC MODULI. East European Journal of Physics.

3.

Burlayenko, O., et al.. (2017). Increasing of optical resolution of photos. 120–122.

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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