Dor Verbin
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- Computer Graphics and Visualization Techniques 13
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- Advanced Vision and Imaging 8
- Generative Adversarial Networks and Image Synthesis 3
- Image Processing and 3D Reconstruction 2
- Geology top 2%
- 3D Surveying and Cultural Heritage 2
- Computational Mechanics top 2%
- 3D Shape Modeling and Analysis 8
- Environmental Engineering top 10%
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- Advanced X-ray Imaging Techniques 1
- Nuclear Physics and Applications 1
- Co-authors
- Pratul P. SrinivasanBen MildenhallPeter HedmanJonathan T. BarronTodd ZicklerRick SzeliskiChristian ReiserAndreas Geiger
- Journals
- ACM Transactions on Graphics (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Dor Verbin
14 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Graphics and Computer-Aided Design 836
- Computer Vision and Pattern Recognition 1.2k
- Geology 194
- Computational Mechanics 596
- Environmental Engineering 114
Countries citing papers authored by Dor Verbin
This map shows the geographic impact of Dor Verbin'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 Dor Verbin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dor Verbin more than expected).
Fields of papers citing papers by Dor Verbin
This network shows the impact of papers produced by Dor Verbin. 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 Dor Verbin. The network helps show where Dor Verbin may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Dor Verbin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 42 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 4 | |
| 8 | MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenesbreakdown → | 2023 | 105 |
| 9 | Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldsbreakdown → | 2023 | 202 |
| 10 | BakedSDF: Meshing Neural SDFs for Real-Time View Synthesisbreakdown → | 2023 | 91 |
| 11 | 2023 | 8 | |
| 12 | Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldsbreakdown → | 2022 | 817 |
| 13 | Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fieldsbreakdown → | 2022 | 302 |
| 14 | 2021 | 2 | |
| 15 | 2020 | 5 |
About Dor Verbin
Dor Verbin is a scholar working on Computer Graphics and Computer-Aided Design, Theoretical Computer Science, Computer Vision and Pattern Recognition, Computational Mechanics and Geology, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (13 papers), 3D Shape Modeling and Analysis (8 papers), Advanced Vision and Imaging (8 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Image Processing and 3D Reconstruction (2 papers), 3D Surveying and Cultural Heritage (2 papers), Advanced X-ray Imaging Techniques (1 paper) and Nuclear Physics and Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (836 citations), Computer Vision and Pattern Recognition (1.2k citations), Geology (194 citations), Computational Mechanics (596 citations) and Environmental Engineering (114 citations). Dor Verbin has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Pratul P. Srinivasan, Ben Mildenhall, Peter Hedman, Jonathan T. Barron, Todd Zickler, Jonathan T. Barron, Rick Szeliski, Christian Reiser, Andreas Geiger and Lior Yariv. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.