Oleksiy Koval

123 total papers · 790 total citations
74 papers, 483 citations indexed

About

Oleksiy Koval is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Oleksiy Koval has authored 74 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 30 papers in Electrical and Electronic Engineering and 13 papers in Signal Processing. Recurrent topics in Oleksiy Koval's work include Advanced Steganography and Watermarking Techniques (46 papers), Chaos-based Image/Signal Encryption (36 papers) and Wireless Communication Security Techniques (29 papers). Oleksiy Koval is often cited by papers focused on Advanced Steganography and Watermarking Techniques (46 papers), Chaos-based Image/Signal Encryption (36 papers) and Wireless Communication Security Techniques (29 papers). Oleksiy Koval collaborates with scholars based in Switzerland, Spain and United States. Oleksiy Koval's co-authors include Slava Voloshynovskiy, Thierry Pun, F. Deguillaume, Taras Holotyak, Fernando Pérez‐González, Christoph M. Michel, Patrick Bas, José Vila, François Cayre and Dimitri Van De Ville and has published in prestigious journals such as IEEE Transactions on Signal Processing, Signal Processing and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Oleksiy Koval

69 papers receiving 451 citations

Author Peers

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

Author						Papers	Cites
Oleksiy Koval	407	75	72	67	60	74	483
Dongming Zhang	300 0.7×	28 0.4×	25 0.3×	76 1.1×	131 2.2×	64	450
Christian Hentschel	183 0.4×	58 0.8×	75 1.0×	103 1.5×	73 1.2×	61	483
Mei Wen	289 0.7×	45 0.6×	137 1.9×	93 1.4×	94 1.6×	81	528
Randy P. Broussard	191 0.5×	82 1.1×	45 0.6×	180 2.7×	39 0.7×	36	415
Taras Holotyak	393 1.0×	25 0.3×	38 0.5×	48 0.7×	91 1.5×	57	461
Mireille Boutin	227 0.6×	25 0.3×	70 1.0×	14 0.2×	34 0.6×	64	518
Alfonso Ortega	181 0.4×	37 0.5×	47 0.7×	84 1.3×	239 4.0×	47	508
Wan Azizun Wan Adnan	263 0.6×	117 1.6×	48 0.7×	150 2.2×	71 1.2×	60	505
Sanjeev Sharma	218 0.5×	63 0.8×	53 0.7×	49 0.7×	119 2.0×	63	467
Feng-Cheng Chang	290 0.7×	85 1.1×	99 1.4×	61 0.9×	61 1.0×	97	551

Countries citing papers authored by Oleksiy Koval

Since Specialization

Citations

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

Fields of papers citing papers by Oleksiy Koval

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oleksiy Koval

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