Sergey Abramov

1.1k total citations
80 papers, 599 citations indexed

About

Sergey Abramov is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Sergey Abramov has authored 80 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 47 papers in Media Technology and 10 papers in Aerospace Engineering. Recurrent topics in Sergey Abramov's work include Image and Signal Denoising Methods (62 papers), Advanced Image Fusion Techniques (39 papers) and Remote-Sensing Image Classification (18 papers). Sergey Abramov is often cited by papers focused on Image and Signal Denoising Methods (62 papers), Advanced Image Fusion Techniques (39 papers) and Remote-Sensing Image Classification (18 papers). Sergey Abramov collaborates with scholars based in Ukraine, France and Finland. Sergey Abramov's co-authors include Vladimir Lukin, Benoît Vozel, Kacem Chehdi, Karen Egiazarian, Jaakko Astola, Nikolay Ponomarenko, Mikhail Uss, Igor Djurović, Sergey Krivenko and Oleksiy Pogrebnyak and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Sergey Abramov

74 papers receiving 578 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 Abramov Ukraine 15 461 348 48 41 38 80 599
Luis Mazorra Spain 12 370 0.8× 134 0.4× 49 1.0× 11 0.3× 13 0.3× 18 478
Pablo Arias France 11 427 0.9× 156 0.4× 12 0.3× 9 0.2× 24 0.6× 34 507
Doron Mintz United States 6 359 0.8× 80 0.2× 25 0.5× 11 0.3× 59 1.6× 11 522
Meir Barzohar Israel 9 215 0.5× 238 0.7× 41 0.9× 3 0.1× 68 1.8× 21 533
Yuriy V. Shkvarko Mexico 12 164 0.4× 106 0.3× 46 1.0× 17 0.4× 36 0.9× 65 463
Jérôme Lebrun France 8 259 0.6× 85 0.2× 118 2.5× 79 1.9× 30 0.8× 26 393
Huiwu Luo China 13 127 0.3× 143 0.4× 19 0.4× 5 0.1× 49 1.3× 46 490
Shaoguang Huang China 13 303 0.7× 314 0.9× 50 1.0× 2 0.0× 68 1.8× 44 551
N.J. Redding Australia 11 124 0.3× 53 0.2× 13 0.3× 9 0.2× 64 1.7× 45 316
Jiangxin Dong China 16 735 1.6× 443 1.3× 12 0.3× 3 0.1× 37 1.0× 26 845

Countries citing papers authored by Sergey Abramov

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Abramov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Abramov

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Abramov. A scholar is included among the top collaborators of Sergey Abramov 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 Abramov. Sergey Abramov 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
1.
Abramov, Sergey, et al.. (2024). ADVANTAGES AND DRAWBACKS OF TWO-STEP APPROACH TO PROVIDING DESIRED PARAMETERS IN LOSSY IMAGE COMPRESSION. SHILAP Revista de lepidopterología. 8(1). 57–63. 3 indexed citations
3.
4.
Abramov, Sergey, et al.. (2018). PRE-REQUISITES FOR SMART LOSSY COMPRESSION OF NOISY REMOTE SENSING IMAGES. Telecommunications and Radio Engineering. 77(3). 225–241. 1 indexed citations
5.
Abramov, Sergey, et al.. (2017). Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(1). 257–270. 15 indexed citations
6.
Lukin, Vladimir, et al.. (2017). DENOISING OF MULTICHANNEL IMAGES WITH REFERENCES. Telecommunications and Radio Engineering. 76(19). 1719–1748. 1 indexed citations
7.
Abramov, Sergey, et al.. (2016). Determination of fenbendazole and its metabolites in milk by the method of liquid chromatography coupled with tandem mass-spectrometry. SHILAP Revista de lepidopterología. 3(4). 554–562. 3 indexed citations
8.
Lukin, Vladimir, Sergey Abramov, Benoît Vozel, et al.. (2016). ON REQUIREMENTS TO ACCURACY OF NOISE VARIANCE ESTIMATION IN PREDICTION OF DCT-BASED FILTER EFFICIENCY. Telecommunications and Radio Engineering. 75(2). 139–154. 2 indexed citations
9.
Abramov, Sergey, et al.. (2015). Performance prediction for 3D filtering of multichannel images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9643. 96430D–96430D. 2 indexed citations
10.
Abramov, Sergey, et al.. (2013). Prediction of filtering efficiency for DCT-based image denoising. 97–100. 20 indexed citations
11.
Abramov, Sergey, et al.. (2012). Robust local scale estimators for blind evaluation of noise variance in images. 1–4. 2 indexed citations
12.
Lukin, Vladimir, et al.. (2012). Image DCT coefficient statistics and their use in blind noise variance estimation. HAL (Le Centre pour la Communication Scientifique Directe). 316–319. 14 indexed citations
13.
Lukin, Vladimir, Sergey Abramov, Nikolay Ponomarenko, Karen Egiazarian, & Jaakko Astola. (2011). Image filtering: Potential efficiency and current problems. 1433–1436. 13 indexed citations
14.
Ponomarenko, Nikolay, et al.. (2011). Efficiency analysis of color image filtering. EURASIP Journal on Advances in Signal Processing. 2011(1). 30 indexed citations
15.
Abramov, Sergey, et al.. (2009). Improved method for blind mixed noise variance evaluation on images. International Crimean Conference Microwave and Telecommunication Technology. 949–950.
16.
Lukin, Vladimir, Sergey Abramov, Alexander A. Zelensky, & Jaakko Astola. (2006). Use of minimal inter-quantile distance estimation in image processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6315. 63150O–63150O. 5 indexed citations
17.
Lukin, Vladimir, Sergey Abramov, Nikolay Ponomarenko, Benoît Vozel, & Kacem Chehdi. (2006). Methods for Blind Evaluation of Noise Variance in Multichannel Optical and Radar Images. Telecommunications and Radio Engineering. 65(6). 527–556. 9 indexed citations
18.
19.
Ponomarenko, Nikolay, Sergey Abramov, & Alexander A. Zelensky. (2002). Automatic Robust Procedure for Radar Image Preliminary Analysis and Filtering. Telecommunications and Radio Engineering. 58(5-6). 22–22. 1 indexed citations
20.
Abramov, Sergey, Vladimir Lukin, Alexander A. Zelensky, & Jaakko Astola. (2002). <title>Blind evaluation of noise variance in images using myriad operation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4667. 192–203. 6 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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