V. N. Kopenkov
V. N. Kopenkov publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Food Science, on topics such as Advanced Scientific Research Methods, Image and Signal Denoising Methods and Advanced Computational Techniques in Science and Engineering.
- World rank
- #6,759,039 of 7,710,434 ranked researchers
- Rank in Russia
- #97,710 of 179,717
- Works
- 15
- Citations
- 40
- Citations per work
- 2.7
What does V. N. Kopenkov research?
V. N. Kopenkov's work is mostly in Computer Science (51%), Engineering (14%), Agricultural and Biological Sciences (11%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences1065.7%
- Computer Science851.4%
- Engineering214.3%
- Everything else322.9%
- Life Sciences211.4%
- 1Computer Vision and Pattern Recognition20% of their works
- 2Artificial Intelligence20% of their works
- 3Food Science11% of their works
- 4Information Systems11% of their works
- 5Control and Systems Engineering9% of their works
- 6Media Technology6% of their works
Research topics
- Advanced Scientific Research Methods
- Image and Signal Denoising Methods
- Advanced Computational Techniques in Science and Engineering
- Neural Networks and Applications
- Advanced Computational Techniques and Applications
- Statistical and Computational Modeling
- Advanced Image Fusion Techniques
- Mathematical Analysis and Transform Methods
Which keywords describe V. N. Kopenkov's research?
The keywords of their largest research topics: Deep Learning, Wavelet Transform, Food Production, Healthcare, Image Denoising, IoT, Machine Learning and Mathematical Modeling.
- Wavelet Analysis
- Neural Networks
- Inductive Modeling
- GMDH-type Neural Networks
- Expert Systems
- Mathematical Modeling
- IoT
- Healthcare
- Wavelet Transform
- Deep Learning
- Food Production
- Image Denoising
- Machine Learning
- Sparse Representations
- Frames
- Image Fusion
- Multispectral
- Self-Organizing Maps
- Wavelets
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Deep Learning62 topics
- Wavelet Transform62 topics
- Food Production41 topic
- Healthcare41 topic
- Image Denoising41 topic
- IoT41 topic
- Machine Learning42 topics
- Mathematical Modeling41 topic
- Sparse Representations41 topic
- Expert Systems21 topic
- Frames21 topic
- GMDH-type Neural Networks21 topic
- Image Fusion21 topic
- Inductive Modeling21 topic
- Multispectral21 topic
- Neural Networks21 topic
- Self-Organizing Maps21 topic
- Wavelet Analysis21 topic
- Wavelets21 topic
Where does V. N. Kopenkov work?
V. N. Kopenkov's main affiliation in the publication record is Image Processing Systems Institute, Russia.
How many publications and citations does V. N. Kopenkov have?
OpenAlex counts 15 works and 40 citations for V. N. Kopenkov, an h-index of 4, ranking #6,759,039 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about V. N. Kopenkov. Posts are plain text and can be reported.