Vladimir Saveljev
- Media Technology top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Computer Vision and Pattern Recognition top 5%
- Electronic, Optical and Magnetic Materials
- Human-Computer Interaction top 5%
- Co-authors
- Sung‐Kyu KimJung‐Young SonBahram JavidiJaisoon KimMin‐Chul ParkJoohwan ChunGwanghee HeoHyoung‐Koo Lee
- Topics
- Advanced Optical Imaging Technologies (50 papers)Visual perception and processing mechanisms (13 papers)Computer Graphics and Visualization Techniques (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsOptics Express
- Partner nations
- South KoreaRussiaUnited States
In The Last Decade
Vladimir Saveljev
59 papers receiving 435 citations
Peers
Comparison fields: 5 of 44
- Media Technology 358
- Atomic and Molecular Physics, and Optics 197
- Computer Vision and Pattern Recognition 146
- Electronic, Optical and Magnetic Materials 95
- Human-Computer Interaction 89
Countries citing papers authored by Vladimir Saveljev
This map shows the geographic impact of Vladimir Saveljev'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 Saveljev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Saveljev more than expected).
Fields of papers citing papers by Vladimir Saveljev
This network shows the impact of papers produced by Vladimir Saveljev. 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 Saveljev. The network helps show where Vladimir Saveljev may publish in the future.
Co-authorship network of co-authors of Vladimir Saveljev
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Saveljev. A scholar is included among the top collaborators of Vladimir Saveljev 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 Saveljev. Vladimir Saveljev 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 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | Estimation of Moiré Patterns Using Spectral Trajectories in the Complex Plane | 3 |
| 17 | 39 | |
| 18 | EXAMPLES OF ENGINEERING APPLICATIONS OF PROJECTIVE TRANSFORMATIONS | 2 |
| 19 | 2 | |
| 20 | 58 |
About Vladimir Saveljev
Vladimir Saveljev is a scholar working on Media Technology, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 62 papers that have together received 476 indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (50 papers), Visual perception and processing mechanisms (13 papers) and Computer Graphics and Visualization Techniques (12 papers). The work is most often cited by research in Media Technology (358 citations), Human-Computer Interaction (89 citations) and Computer Graphics and Computer-Aided Design (35 citations). Vladimir Saveljev has collaborated with scholars based in South Korea, Russia and United States. Frequent co-authors include Sung‐Kyu Kim, Jung‐Young Son, Bahram Javidi, Jaisoon Kim, Min‐Chul Park, Joohwan Chun, Gwanghee Heo, Hyoung‐Koo Lee, Yong‐Suk Kim and Hyunwoo Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Optics Express.
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.