Vladimir Lukin

7.5k total citations · 2 hit papers
370 papers, 4.4k citations indexed

About

Vladimir Lukin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Vladimir Lukin has authored 370 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 289 papers in Computer Vision and Pattern Recognition, 176 papers in Media Technology and 39 papers in Aerospace Engineering. Recurrent topics in Vladimir Lukin's work include Image and Signal Denoising Methods (228 papers), Advanced Image Fusion Techniques (151 papers) and Advanced Data Compression Techniques (98 papers). Vladimir Lukin is often cited by papers focused on Image and Signal Denoising Methods (228 papers), Advanced Image Fusion Techniques (151 papers) and Advanced Data Compression Techniques (98 papers). Vladimir Lukin collaborates with scholars based in Ukraine, Finland and France. Vladimir Lukin's co-authors include Nikolay Ponomarenko, Karen Egiazarian, Alexander A. Zelensky, Jaakko Astola, Benoît Vozel, Marco Carli, Kacem Chehdi, Олег Єремеєв, Federica Battisti and Sergey Abramov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Vladimir Lukin

326 papers receiving 4.2k citations

Hit Papers

Image database TID2013: Peculiarities, results ... 2004 2026 2011 2018 2014 2004 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Image database TID2013: Peculiarities, results and perspectives
    2014 837 citations Nikolay Ponomarenko, Олег Єремеєв et al. profile →
  2. TID2008 – A database for evaluation of full-reference visual quality assessment metrics
    2004 765 citations Nikolay Ponomarenko, Vladimir Lukin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimir Lukin Ukraine 26 3.7k 2.3k 348 327 166 370 4.4k
Yongbing Zhang China 28 3.5k 0.9× 1.6k 0.7× 358 1.0× 328 1.0× 403 2.4× 163 4.6k
P.M.S. Burt Brazil 9 3.7k 1.0× 2.1k 0.9× 95 0.3× 390 1.2× 263 1.6× 31 4.6k
Kai‐Kuang Ma Singapore 30 3.9k 1.0× 1.2k 0.5× 154 0.4× 1.3k 4.0× 281 1.7× 177 4.5k
Sung-Jea Ko South Korea 29 3.3k 0.9× 1.3k 0.6× 177 0.5× 747 2.3× 223 1.3× 225 4.1k
M. Ibrahim Sezan United States 30 2.6k 0.7× 811 0.4× 97 0.3× 548 1.7× 127 0.8× 97 3.1k
M.T. Orchard United States 31 5.2k 1.4× 1.3k 0.6× 139 0.4× 1.7k 5.3× 407 2.5× 134 5.8k
Karen Panetta United States 28 4.0k 1.1× 1.6k 0.7× 310 0.9× 210 0.6× 387 2.3× 194 4.7k
Lina J. Karam United States 30 2.7k 0.7× 1.0k 0.4× 140 0.4× 674 2.1× 255 1.5× 193 3.8k
Rae‐Hong Park South Korea 31 3.1k 0.8× 792 0.3× 120 0.3× 791 2.4× 292 1.8× 274 3.8k
Alain Horé Canada 8 2.0k 0.5× 746 0.3× 104 0.3× 159 0.5× 269 1.6× 16 2.8k

Countries citing papers authored by Vladimir Lukin

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Lukin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Lukin

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Lukin. A scholar is included among the top collaborators of Vladimir Lukin 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 Vladimir Lukin. Vladimir Lukin 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
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Lukin, Vladimir, et al.. (2024). Impact of distortions in UAV images on quality and accuracy of object localization. RADIOELECTRONIC AND COMPUTER SYSTEMS. 2024(4). 59–67. 2 indexed citations
4.
Lukin, Vladimir, et al.. (2024). Lossy Compression of Single-channel Noisy Images by Modern Coders. Remote Sensing. 16(12). 2093–2093. 2 indexed citations
5.
Lukin, Vladimir, et al.. (2024). DCT-BASED DENOISING of SPEECH SIGNALS. 339(4). 301–309.
6.
Bondžulić, Boban, et al.. (2023). Target acquisition performance in the presence of JPEG image compression. Defence Technology. 33. 30–41. 4 indexed citations
7.
Ponomarenko, Nikolay, et al.. (2023). Blind denoising of dental X-ray images. Electronic Imaging. 35(9). 299–1. 1 indexed citations
8.
Lukin, Vladimir, et al.. (2023). Analysis of the potential efficiency of post-filtering noisy images after lossy compression. 10(1). 11–16. 1 indexed citations
9.
Єремеєв, Олег, et al.. (2022). Combined No-Reference Image Quality Metrics for Visual Quality Assessment Optimized for Remote Sensing Images. Applied Sciences. 12(4). 1986–1986. 10 indexed citations
10.
Bondžulić, Boban, et al.. (2022). On strange images with application to lossy image compression. RADIOELECTRONIC AND COMPUTER SYSTEMS. 143–152. 5 indexed citations
11.
Uss, Mikhail, Benoît Vozel, Vladimir Lukin, & Kacem Chehdi. (2022). Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network. Sensors. 22(3). 1231–1231. 6 indexed citations
12.
Lukin, Vladimir, et al.. (2017). EFFICIENCY ANALYSIS OF TETROLET TRANSFORM-BASED FILTERING BY REMOVAL OF ADDITIVE NOISE IN IMAGES. SHILAP Revista de lepidopterología.
13.
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
14.
Djurović, Igor, et al.. (2016). TIME-FREQUENCY REPRESENTATION ENHANCEMENT: APPROACH BASED ON IMAGE FILTERING METHODS. SHILAP Revista de lepidopterología. 4 indexed citations
15.
Lukin, Vladimir, et al.. (2012). Nonstationary noise locally adaptive filtering in DCT domain. World Automation Congress. 1–6. 1 indexed citations
16.
Lukin, Vladimir, et al.. (2012). Time delay estimation for noise-like wideband signals in non-Gaussian environment. 100–103. 3 indexed citations
17.
Djurović, Igor, et al.. (2008). Accuracy improvement of the wigner distribution estimate in non-Gaussian noise environment by means of clipping technique application. International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science. 362–365. 1 indexed citations
18.
Lukin, Vladimir, et al.. (2008). Lossy compression of multichannel ECG based on 2-D DCT and pre-processing. International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science. 159–162. 13 indexed citations
19.
Lukin, Vladimir, et al.. (1999). Adaptive method for 1-D signal processing based on nonlinear filter bank and Z-parameter.. 287–291. 2 indexed citations
20.
Kurekin, Andrey A., et al.. (1999). Comparison of component and vector filter performance with application to multichannel and color image processing.. 38–42. 8 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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