Sergey Krivenko

96 total papers · 611 total citations
56 papers, 369 citations indexed

About

Sergey Krivenko is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Media Technology. According to data from OpenAlex, Sergey Krivenko has authored 56 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 11 papers in Cardiology and Cardiovascular Medicine and 9 papers in Media Technology. Recurrent topics in Sergey Krivenko's work include Advanced Data Compression Techniques (26 papers), Image and Signal Denoising Methods (26 papers) and Image and Video Quality Assessment (12 papers). Sergey Krivenko is often cited by papers focused on Advanced Data Compression Techniques (26 papers), Image and Signal Denoising Methods (26 papers) and Image and Video Quality Assessment (12 papers). Sergey Krivenko collaborates with scholars based in Ukraine, Finland and China. Sergey Krivenko's co-authors include Vladimir Lukin, Nikolay Ponomarenko, Karen Egiazarian, Sergey Abramov, Jaakko Astola, Zhenjiang Miao, Oleksiy Pogrebnyak, Igor Djurović, Benoît Vozel and Alina Nechyporenko and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Remote Sensing.

In The Last Decade

Sergey Krivenko

51 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Sergey Krivenko	222	99	49	32	26	56	369
Tae Hyun Kim	229 1.0×	101 1.0×	21 0.4×	10 0.3×	19 0.7×	30	413
Omar Mohd Rijal	79 0.4×	30 0.3×	35 0.7×	26 0.8×	179 6.9×	53	367
Lifang Wei	246 1.1×	27 0.3×	4 0.1×	40 1.3×	99 3.8×	58	407
Amrendra Tripathi	172 0.8×	105 1.1×	23 0.5×	34 1.1×	69 2.7×	24	405
Irena Galić	195 0.9×	19 0.2×	47 1.0×	64 2.0×	138 5.3×	52	420
Juan-Carlos Pérez-Cortés	195 0.9×	27 0.3×	33 0.7×	36 1.1×	76 2.9×	52	405
Tati L. R. Mengko	147 0.7×	48 0.5×	39 0.8×	69 2.2×	101 3.9×	64	384
Krzysztof Wróbel	115 0.5×	28 0.3×	111 2.3×	34 1.1×	10 0.4×	72	379
I. Defée	230 1.0×	34 0.3×	24 0.5×	48 1.5×	8 0.3×	35	335
Rafael Verdú‐Monedero	188 0.8×	24 0.2×	56 1.1×	63 2.0×	165 6.3×	51	382

Countries citing papers authored by Sergey Krivenko

Since Specialization

Citations

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

Fields of papers citing papers by Sergey Krivenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Krivenko

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