Evgeniy Upenik
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Media Technology top 5%
- Signal Processing top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Touradj EbrahimiMartin ŘeřábekEvangelos AlexiouFernando PereiraJoão AscensoPinar AkyaziJon SneyersLuca Versari
- Topics
- Image and Video Quality Assessment (8 papers)Advanced Image Processing Techniques (7 papers)Advanced Data Compression Techniques (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignHuman-Computer Interaction
- Journals
- Infoscience (Ecole Polytechnique Fédérale de Lausanne)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Partner nations
- SwitzerlandGermanyBrazil
In The Last Decade
Evgeniy Upenik
18 papers receiving 334 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 289
- Human-Computer Interaction 63
- Media Technology 61
- Signal Processing 54
- Computer Graphics and Computer-Aided Design 45
Countries citing papers authored by Evgeniy Upenik
This map shows the geographic impact of Evgeniy Upenik'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 Evgeniy Upenik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evgeniy Upenik more than expected).
Fields of papers citing papers by Evgeniy Upenik
This network shows the impact of papers produced by Evgeniy Upenik. 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 Evgeniy Upenik. The network helps show where Evgeniy Upenik may publish in the future.
Co-authorship network of co-authors of Evgeniy Upenik
This figure shows the co-authorship network connecting the top 25 collaborators of Evgeniy Upenik. A scholar is included among the top collaborators of Evgeniy Upenik 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 Evgeniy Upenik. Evgeniy Upenik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 16 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 47 | |
| 15 | 71 | |
| 16 | 56 | |
| 17 | 72 | |
| 18 | 5 |
About Evgeniy Upenik
Evgeniy Upenik is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 18 papers that have together received 344 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (8 papers), Advanced Image Processing Techniques (7 papers) and Advanced Data Compression Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (289 citations), Computer Graphics and Computer-Aided Design (45 citations) and Human-Computer Interaction (63 citations). Evgeniy Upenik has collaborated with scholars based in Switzerland, Germany and Brazil. Frequent co-authors include Touradj Ebrahimi, Martin Řeřábek, Evangelos Alexiou, Fernando Pereira, João Ascenso, Pinar Akyazi, Jon Sneyers, Luca Versari and Irene Viola. Their work appears in journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.