Vladimir Khryashchev
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 5%
- Environmental Engineering
- Global and Planetary Change
- Artificial Intelligence
- Co-authors
- Vladimir PavlovС. В. КашинAlexander GaninRoman KuvaevD. V. Zav’yalovAnastasia ZhuravlevaA. SemenovAlexander Semenov
- Topics
- Face and Expression Recognition (12 papers)Face recognition and analysis (11 papers)Advanced Image Fusion Techniques (8 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Journals
- SHILAP Revista de lepidopterologíaEndoscopyOptical Memory and Neural Networks
- Partner nations
- Russia
In The Last Decade
Vladimir Khryashchev
40 papers receiving 256 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 139
- Media Technology 76
- Environmental Engineering 44
- Global and Planetary Change 44
- Artificial Intelligence 33
Countries citing papers authored by Vladimir Khryashchev
This map shows the geographic impact of Vladimir Khryashchev'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 Khryashchev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Khryashchev more than expected).
Fields of papers citing papers by Vladimir Khryashchev
This network shows the impact of papers produced by Vladimir Khryashchev. 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 Khryashchev. The network helps show where Vladimir Khryashchev may publish in the future.
Co-authorship network of co-authors of Vladimir Khryashchev
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Khryashchev. A scholar is included among the top collaborators of Vladimir Khryashchev 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 Khryashchev. Vladimir Khryashchev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 29 | |
| 13 | Convolutional Neural Network for Satellite Imagery | 4 |
| 14 | 5 | |
| 15 | 18 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 2 |
About Vladimir Khryashchev
Vladimir Khryashchev is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 45 papers that have together received 270 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Face recognition and analysis (11 papers) and Advanced Image Fusion Techniques (8 papers). The work is most often cited by research in Media Technology (76 citations), Computer Vision and Pattern Recognition (139 citations) and Safety, Risk, Reliability and Quality (31 citations). Vladimir Khryashchev has collaborated with scholars based in Russia. Frequent co-authors include Vladimir Pavlov, С. В. Кашин, Alexander Ganin, Roman Kuvaev, D. V. Zav’yalov, Anastasia Zhuravleva, A. Semenov, Alexander Semenov and V. G. Solovyev. Their work appears in journals such as SHILAP Revista de lepidopterología, Endoscopy and Optical Memory and Neural Networks.
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.