Sergey Krivenko

612 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 Image and Signal Denoising Methods (26 papers), Advanced Data Compression Techniques (26 papers) and Image and Video Quality Assessment (12 papers). Sergey Krivenko is often cited by papers focused on Image and Signal Denoising Methods (26 papers), Advanced Data Compression Techniques (26 papers) and Image and Video Quality Assessment (12 papers). Sergey Krivenko collaborates with scholars based in Ukraine, Finland and France. Sergey Krivenko's co-authors include Vladimir Lukin, Nikolay Ponomarenko, Karen Egiazarian, Sergey Abramov, Jaakko Astola, Zhenjiang Miao, Igor Djurović, Oleksiy Pogrebnyak, 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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergey Krivenko Ukraine 12 222 99 49 32 26 56 369
Tae Hyun Kim South Korea 11 236 1.1× 104 1.1× 22 0.4× 10 0.3× 19 0.7× 30 426
Yu-Chiang Wang United States 8 110 0.5× 19 0.2× 40 0.8× 25 0.8× 15 0.6× 29 306
Qing Cao China 8 105 0.5× 16 0.2× 51 1.0× 66 2.1× 116 4.5× 22 310
Ali M. Hasan Iraq 11 256 1.2× 28 0.3× 31 0.6× 34 1.1× 204 7.8× 33 515
I. Defée Finland 11 230 1.0× 34 0.3× 24 0.5× 49 1.5× 8 0.3× 35 336
Sheng Guo China 9 118 0.5× 37 0.4× 11 0.2× 36 1.1× 42 1.6× 32 300
Vladimir Zlokolica Serbia 14 471 2.1× 210 2.1× 34 0.7× 81 2.5× 62 2.4× 45 574
Weiming Li China 10 65 0.3× 27 0.3× 21 0.4× 36 1.1× 81 3.1× 27 274

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

20 of 20 papers shown
2.
Lukin, Vladimir, et al.. (2021). Analysis of noisy image lossy compression by BPG using visual quality metrics. 20–25. 6 indexed citations
4.
Krivenko, Sergey, et al.. (2021). A Modified Algorithm of Visual Quality Providing in Lossy Compression of Remote Sensing Images. 16–21. 1 indexed citations
6.
Krivenko, Sergey, et al.. (2020). A Two-step Procedure for Image Lossy Compression by ADCTC With a Desired Quality. 307–312. 9 indexed citations
7.
Krivenko, Sergey, et al.. (2019). Prediction of Visual Quality for Lossy Compressed Images. 19. 1–5. 2 indexed citations
8.
Krivenko, Sergey, et al.. (2018). Visually Lossless Compression of Retina Images. 255–260. 11 indexed citations
9.
Krivenko, Sergey, et al.. (2018). MSE and PSNR prediction for ADCT coder applied to lossy image compression. HAL (Le Centre pour la Communication Scientifique Directe). 613–618. 3 indexed citations
12.
Krivenko, Sergey, et al.. (2016). Peculiarities of lossy compression of optical and medical images corrupted by noise. 6. 251–256. 1 indexed citations
13.
Krivenko, Sergey, et al.. (2016). Lossy compression of images corrupted by spatially correlated noise. 6. 698–702. 4 indexed citations
15.
Krivenko, Sergey, et al.. (2015). The Pareto chart of caries intensity evaluation for children with allergic diseases. 110–111. 7 indexed citations
16.
Krivenko, Sergey, et al.. (2014). Many-to-many linear-feedback shift register. 176–178. 9 indexed citations
17.
Krivenko, Sergey, et al.. (2013). Accuracy improvement of noninvasive determination of glucose concentration in human blood. 181–183. 8 indexed citations
18.
Krivenko, Sergey, Vladimir Lukin, & Benoît Vozel. (2013). EFFICIENCY ANALYSIS OF COMBINED DESPECKLING OF SINGLE-LOOK SAR IMAGES. 1 indexed citations
19.
Abramov, Sergey, et al.. (2013). Prediction of filtering efficiency for DCT-based image denoising. 97–100. 20 indexed citations
20.
Lukin, Vladimir, et al.. (2013). ACCELERATION AND EFFICIENCY ANALYSIS OF DCT-BASED FILTERING. Telecommunications and Radio Engineering. 72(7). 613–626. 1 indexed citations

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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