Nataniel Ruiz
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 7
- Human Pose and Action Recognition 2
- Image Retrieval and Classification Techniques 2
- Visual Attention and Saliency Detection 2
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- Intelligent Tutoring Systems and Adaptive Learning 3
- Co-authors
- Kfir Aberman (4 shared papers)Varun Jampani (3 shared papers)Michael Rubinstein (2 shared papers)Yuanzhen Li (2 shared papers)Yael Pritch (4 shared papers)Eunji Chong (2 shared papers)James M. Rehg (2 shared papers)Yongxin Wang (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)IEEE Transactions on Biometrics Behavior and Identity Science (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Clark Digital Commons (Clark University) (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Nataniel Ruiz
14 papers receiving 1.3k citations
Nataniel Ruiz's Hit Papers
Peers
Comparison fields: 5 of 118
- Computer Graphics and Computer-Aided Design 237
- Computer Vision and Pattern Recognition 842
- Human-Computer Interaction 92
- Artificial Intelligence 292
- Signal Processing 82
Countries citing papers authored by Nataniel Ruiz
This map shows the geographic impact of Nataniel Ruiz'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 Nataniel Ruiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nataniel Ruiz more than expected).
Fields of papers citing papers by Nataniel Ruiz
This network shows the impact of papers produced by Nataniel Ruiz. 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 Nataniel Ruiz. The network helps show where Nataniel Ruiz may publish in the future.
Co-authors
The 25 scholars most cited alongside Nataniel Ruiz, 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 | DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Hit paper breakdown → | 2023 | 955 |
| 2 | 2023 | 87 | |
| 3 | 2020 | 66 | |
| 4 | 2008 | 62 | |
| 5 | 2024 | 47 | |
| 6 | 2017 | 44 | |
| 7 | 2024 | 13 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 3 | |
| 13 | 2025 | 1 | |
| 14 | 2021 | 1 |
About Nataniel Ruiz
Nataniel Ruiz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Science Applications, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (7 papers), Gaze Tracking and Assistive Technology (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Computer Graphics and Visualization Techniques (3 papers), Online Learning and Analytics (2 papers), Human Pose and Action Recognition (2 papers), Image Retrieval and Classification Techniques (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (237 citations), Computer Vision and Pattern Recognition (842 citations), Human-Computer Interaction (92 citations), Artificial Intelligence (292 citations) and Signal Processing (82 citations). Nataniel Ruiz has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Kfir Aberman, Varun Jampani, Michael Rubinstein, Yuanzhen Li, Yael Pritch, Eunji Chong, James M. Rehg, Yongxin Wang, Fang Chen and Bo Yin. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Biometrics Behavior and Identity Science, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Clark Digital Commons (Clark 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.