Vladimir Lukin
- Computer Vision and Pattern Recognition top 0.2%
- Media Technology top 0.05%
- Atomic and Molecular Physics, and Optics top 10%
- Signal Processing top 2%
- Artificial Intelligence top 10%
- Co-authors
- Nikolay PonomarenkoKaren EgiazarianAlexander A. ZelenskyJaakko AstolaBenoît VozelMarco CarliKacem ChehdiОлег Єремеєв
- Topics
- Image and Signal Denoising Methods (228 papers)Advanced Image Fusion Techniques (151 papers)Advanced Data Compression Techniques (98 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors
In The Last Decade
Vladimir Lukin
326 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 3.7k
- Media Technology 2.3k
- Atomic and Molecular Physics, and Optics 348
- Signal Processing 327
- Artificial Intelligence 166
Countries citing papers authored by Vladimir Lukin
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 0 | |
| 13 | 15 | |
| 14 | 4 | |
| 15 | Nonstationary noise locally adaptive filtering in DCT domain | 1 |
| 16 | Time delay estimation for noise-like wideband signals in non-Gaussian environment | 3 |
| 17 | Accuracy improvement of the wigner distribution estimate in non-Gaussian noise environment by means of clipping technique application | 1 |
| 18 | Lossy compression of multichannel ECG based on 2-D DCT and pre-processing | 13 |
| 19 | Adaptive method for 1-D signal processing based on nonlinear filter bank and Z-parameter. | 2 |
| 20 | Comparison of component and vector filter performance with application to multichannel and color image processing. | 8 |
About Vladimir Lukin
Vladimir Lukin is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 370 papers that have together received 4.4k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (228 papers), Advanced Image Fusion Techniques (151 papers) and Advanced Data Compression Techniques (98 papers). The work is most often cited by research in Media Technology (2.3k citations), Computer Vision and Pattern Recognition (3.7k citations) and Signal Processing (327 citations). Vladimir Lukin has collaborated with scholars based in Ukraine, Finland and France. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.
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.