Daniel Rebain
Impact in
-
- Computer Graphics and Visualization Techniques
-
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in
-
- Computer Graphics and Visualization Techniques 7
-
- 3D Shape Modeling and Analysis 8
- Co-authors
- Andrea Tagliasacchi (12 shared papers)Animesh Garg (1 shared paper)Kwang Moo Yi (11 shared papers)Sara Sabour (1 shared paper)Miles Macklin (1 shared paper)Loïc Barthe (1 shared paper)Sofien Bouaziz (1 shared paper)Soroosh Yazdani (3 shared papers)
- Journals
- Lecture notes in computer science (3 papers)Proceedings of the ACM on Computer Graphics and Interactive Techniques (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Daniel Rebain
12 papers receiving 218 citations
Peers
Comparison fields: 5 of 48
- Computer Graphics and Computer-Aided Design 31
- Computer Vision and Pattern Recognition 131
- Geology 15
- Computational Mechanics 47
- Aerospace Engineering 30
Countries citing papers authored by Daniel Rebain
This map shows the geographic impact of Daniel Rebain'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 Daniel Rebain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Rebain more than expected).
Fields of papers citing papers by Daniel Rebain
This network shows the impact of papers produced by Daniel Rebain. 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 Daniel Rebain. The network helps show where Daniel Rebain may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Rebain, 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 | 2022 | 145 | |
| 2 | 2019 | 25 | |
| 3 | 2023 | 21 | |
| 4 | 2023 | 10 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 |
About Daniel Rebain
Daniel Rebain is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Geology and Environmental Engineering, having authored 16 papers that have together received 221 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (8 papers), Computer Graphics and Visualization Techniques (7 papers), Advanced Vision and Imaging (4 papers), Remote Sensing and LiDAR Applications (2 papers), 3D Surveying and Cultural Heritage (2 papers), Optical measurement and interference techniques (2 papers), Chaos-based Image/Signal Encryption (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (31 citations), Computer Vision and Pattern Recognition (131 citations), Geology (15 citations), Computational Mechanics (47 citations) and Aerospace Engineering (30 citations). Daniel Rebain has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Andrea Tagliasacchi, Animesh Garg, Kwang Moo Yi, Sara Sabour, Miles Macklin, Loïc Barthe, Sofien Bouaziz, Soroosh Yazdani, Brian Wyvill and Weiwei Sun. Their work appears in journals such as Lecture notes in computer science, Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).
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.