Vlad Branzoi
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Human-Computer Interaction top 5%
- Electrical and Electronic Engineering
- Aerospace Engineering
- Co-authors
- Shree K. NayarT.E. BoultSupun SamarasekeraRakesh KumarHideaki NiiTaragay OskiperMikhail SizintsevZhiwei Zhu
- Topics
- Augmented Reality Applications (6 papers)Advanced Vision and Imaging (6 papers)Robotics and Sensor-Based Localization (6 papers)
- Journals
- ACM Transactions on GraphicsInternational Journal of Computer VisionIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- United StatesJapanGermany
In The Last Decade
Vlad Branzoi
12 papers receiving 305 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 222
- Media Technology 88
- Human-Computer Interaction 81
- Electrical and Electronic Engineering 63
- Aerospace Engineering 51
Countries citing papers authored by Vlad Branzoi
This map shows the geographic impact of Vlad Branzoi'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 Vlad Branzoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vlad Branzoi more than expected).
Fields of papers citing papers by Vlad Branzoi
This network shows the impact of papers produced by Vlad Branzoi. 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 Vlad Branzoi. The network helps show where Vlad Branzoi may publish in the future.
Co-authorship network of co-authors of Vlad Branzoi
This figure shows the co-authorship network connecting the top 25 collaborators of Vlad Branzoi. A scholar is included among the top collaborators of Vlad Branzoi 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 Vlad Branzoi. Vlad Branzoi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 16 | |
| 3 | 2 | |
| 4 | 43 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 36 | |
| 8 | 50 | |
| 9 | 62 | |
| 10 | 2 | |
| 11 | 73 | |
| 12 | Adaptive dynamic range imaging: Optical control of pixel exposures over space and time | 22 |
About Vlad Branzoi
Vlad Branzoi is a scholar working on Geology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 12 papers that have together received 323 indexed citations. Recurring topics across this work include Augmented Reality Applications (6 papers), Advanced Vision and Imaging (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Human-Computer Interaction (81 citations), Instrumentation (47 citations) and Computer Vision and Pattern Recognition (222 citations). Vlad Branzoi has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Shree K. Nayar, T.E. Boult, Supun Samarasekera, Rakesh Kumar, Hideaki Nii, Taragay Oskiper, Mikhail Sizintsev, Zhiwei Zhu, Paul Dietz and Erich Bruns. Their work appears in journals such as ACM Transactions on Graphics, International Journal of Computer Vision and IEEE Transactions on Visualization and Computer Graphics.
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.